Wideband variable impedance load for high volume manufacturing qualification and on-site diagnostics

Information

  • Patent Grant
  • 12272524
  • Patent Number
    12,272,524
  • Date Filed
    Monday, September 19, 2022
    2 years ago
  • Date Issued
    Tuesday, April 8, 2025
    3 months ago
Abstract
A wideband variable impedance load for high volume manufacturing qualification and diagnostic testing of a radio frequency power source, an impedance matching network and RF sensors for generating plasma in a semiconductor plasma chamber for semiconductor fabrication processes. The wideband variable impedance load may comprise a fixed value resistance operable at a plurality of frequencies and coupled with a variable impedance network capable of transforming the fixed value resistance into a wide range of complex impedances at the plurality of frequencies. Response times and match tuning element position repeatability may be verified. Automatic testing, verification and qualification of production and field installed radio frequency power sources for plasma generation are easily performed.
Description
BACKGROUND
Field

Embodiments of the present disclosure generally relate to testing of high-power radio frequency (RF) power sources and impedance matching networks, and, in particular, to manufacturing qualification and diagnostic testing of an RF power source and impedance matching network adapted for generating a plasma in chamber.


Description of the Related Art

Reliably forming high aspect ratio features is one of the key technology challenges for manufacturing the next generation of semiconductor devices. High aspect ratio openings used to form the features are typically formed using a plasma-assisted etch process, such as a reactive ion etch (RIE) process capable of directionally controlled (i.e., anisotropic) material removal to transfer a pattern from a mask layer to exposed portions of the substrate surface there beneath. For plasma etching and other plasma utilizing processes, process uniformity and repeatability within a chamber, from chamber to chamber and processing system to processing system are important parameters for controlling semiconductor device yield and semiconductor device performance tolerance so that the formed semiconductor devices are able to perform as desired.


In plasma reactors, a radio frequency (RF) power source provides RF power to the plasma reactor chamber, for generating plasma therein, via an impedance matching network coupled between the RF power source and the plasma reactor chamber. The RF impedance of a plasma is a complex and highly variable function of many process parameters and conditions. The impedance matching network maximizes power transfer from the RF power source to the plasma in the reactor chamber. This is accomplished when the output impedance of the impedance matching network is equal to the complex conjugate of the input impedance of the plasma in the reactor chamber. The impedance matching network transforms the impedance of the plasma in the reactor chamber to the characteristic operating output impedance of the RF power source, e.g., 50 ohms, for optimal RF power transfer therefrom.


The RF impedance matching network is an electrical circuit disposed between the RF power source and the plasma reactor to optimize RF power transfer efficiency. In high-volume manufacturing, a qualification process is required to validate that the product will meet a design specification. A complex dummy load test is typically implemented to verify if the RF impedance matching network can tune at a desired frequency to a desired complex impedance accurately.


Multiple RF power sources at different frequencies may sometimes be utilized with plasma reactors. This includes multiple RF power sources each having an associated frequency dependent matching network. The frequency dependent matching networks may be connected to the plasma chamber at a common output point. Band pass filters may be included between each frequency dependent matching network and the plasma chamber to provide isolation for the different RF power sources.


Accurate characterization of an impedance matching network is critically important for providing reliable, efficient, and predictable plasma processes. Typically, characterization of an impedance matching network is performed with a dummy load having a complex impedance that may be coupled to the output of the impedance matching network in place of the plasma chamber.


A traditional complex impedance dummy load is thus used for such verification purposes. However, the traditional complex impedance dummy load is typically designed for only a specific impedance at a single frequency and multiple complex impedance dummy loads are required if a multipoint test is required. Also, these tests may require labor-intensive processes because an appropriate complex impedance dummy load is required to be installed manually for every RF matching network under test. In addition, an extra vector network analyzer test is sometimes needed to test RF filters, which may require technical expertise for equipment calibration and operation.


Hence, there is a need for a wideband variable impedance load operable over a plurality of frequencies for high volume manufacturing qualification and diagnostics of RF power sources and associated impedance matching networks used in plasma processes for deposition and/or etching used in the formation of, for example but is not limited to, semiconductor integrated circuits, display panels and solar panels.


SUMMARY

Embodiments of the disclosure include a wideband radio frequency (RF) variable impedance test load adapted for coupling to an RF power source used to generate a plasma in a plasma processing chamber. The RF variable impedance test load comprises a variable impedance network having a first node that may be adapted for coupling to a resistance, adjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node may be configured to be coupled to an RF power source. A test unit controller coupled to the adjustable tuning elements such that the test unit controller controls adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node.


Embodiments of the disclosure include a system for analyzing, qualifying or testing a radio frequency (RF) power source and impedance matching network used to generate a plasma in a plasma processing chamber with an RF variable impedance test load. The radio frequency (RF) power source including an RF generator and an impedance matching networking having an input coupled to an output of the RF generator. The wideband RF variable impedance test load includes a variable impedance network having a first node that may be adapted for coupling to a resistance, adjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node may be configured to be coupled to the output of the impedance matching networking. A test unit controller may be coupled to the adjustable tuning elements such that the controller controls adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node.


Embodiments of the disclosure include a method for analyzing, qualifying or testing, with a radio frequency (RF) variable impedance test load, an RF impedance matching network and components thereof used for generating a plasma in a plasma processing chamber. A resistance may be coupled to a first node of a variable impedance that transforms the resistance into a plurality of load impedances at a second node of the variable impedance network by adjusting tuning elements of the variable impedance network with a controller. The second node may be monitored by RF voltage and current sensors, and a frequency detector whose values may be used to determine impedances of the plurality of load impedances. RF power may be generated at a frequency with an RF generator having an output at a first impedance. An impedance matching network may be coupled between the output of the RF generator and the second node of the variable impedance network. The impedance of the RF generator may be matched to the plurality of load impedances at the second node of the variable impedance network with the impedance matching network.


Embodiments of the disclosure include a method for analyzing, qualifying or testing, with a radio frequency (RF) variable impedance test load, an RF impedance matching network and components thereof used for generating a plasma in a plasma processing chamber. An RF generator delivers a first RF signal through the RF impedance matching network to a first node of the variable impedance network that includes a controller, a second node that is adapted for coupling to a resistance element, adjustable tuning elements for transforming the resistance of the resistance element coupled to the second node into a plurality of load impedances at the first node, and an RF voltage sensor, an RF current sensor and a frequency detector that may be coupled between the first node and the adjustable tuning elements. Matching a first impedance of the RF generator to one of the plurality of load impedances created at the first node of the variable impedance network, where the one of the plurality of load impedances is created by adjusting one or more of the adjustable tuning elements of the impedance matching network. Comparing a signal generated by at least one of the RF voltage sensor, RF current sensor and frequency detector, while the first impedance of the RF generator is matched to the one of the plurality of load impedances, to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory. Qualifying the impedance matching network if the signal from the RF voltage sensor, RF current sensor and frequency sensor are within a range set relative to the respective at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory.


Embodiments of the disclosure include a system for analyzing, qualifying or testing radio frequency (RF) components, comprising a variable impedance network. The variable impedance network includes a first node that is adapted for coupling to a first resistance element; and adjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node is configured to be coupled to an RF power source; and a test unit controller coupled to the adjustable tuning elements, wherein the test unit controller controls adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node.


Embodiments of the disclosure include a system for analyzing, qualifying or testing a radio frequency (RF) components, comprising: a radio frequency (RF) power source comprising an RF generator; and an impedance matching network having an output and input coupled to an output of the RF generator; a wideband RF variable impedance test load comprising: a variable impedance network comprising: a first node that is adapted for coupling to a resistance; and adjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node is configured to be coupled to the output of the impedance matching networking; and a test unit controller coupled to the adjustable tuning elements, wherein the test unit controller controls adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node.


Embodiments of the disclosure include a method of analyzing, qualifying or testing radio frequency (RF) components, comprising: delivering, by use of an RF generator, a first RF signal through an impedance matching network to a first node of the variable impedance network. The variable impedance network comprises: a controller; a second node that is adapted for coupling to a resistance element; adjustable tuning elements for transforming the resistance of the resistance element coupled to the second node into a plurality of load impedances at the first node; and an RF voltage sensor, an RF current sensor, and a frequency detector that are each coupled between the first node and the adjustable tuning elements. Then by matching, by use of the impedance matching network, a first impedance of the RF generator to one of the plurality of load impedances created at the first node of the variable impedance network, wherein the one of the plurality of load impedances is created by adjusting one or more of the adjustable tuning elements; and qualifying the impedance matching network or RF voltage sensor if a signal from the RF voltage sensor, the RF current sensor or the frequency sensor are within a range set relative to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory, while the first impedance of the RF generator is matched to the one of the plurality of load impedances.


Embodiments of the disclosure include a method of analyzing, qualifying or testing radio frequency (RF) components, comprising: delivering, by use of an RF generator, a first RF signal through an impedance matching network to a first node of the variable impedance network, wherein the variable impedance network comprises: a controller; a second node that is adapted for coupling to a resistance element; adjustable tuning elements for transforming the resistance of the resistance element coupled to the second node into a plurality of load impedances at the first node; and an RF voltage sensor, an RF current sensor, and a frequency detector that are each coupled between the first node and the adjustable tuning elements; matching, by use of the impedance matching network, a first impedance of the RF generator to a first impedance of the plurality of load impedances created at the first node of the variable impedance network, wherein the first impedance of the plurality of load impedances is created by adjusting one or more of the adjustable tuning elements; and qualifying the impedance matching network or RF voltage sensor if a signal from the RF voltage sensor, the RF current sensor or the frequency sensor are within a range set relative to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory, while the first impedance of the RF generator is matched to the first impedance of the plurality of load impedances. The method may also further comprise delivering, by use of an RF generator, a second RF signal through an impedance matching network to the first node of the variable impedance network; matching, by use of the impedance matching network, a second impedance of the RF generator to a second impedance of the plurality of load impedances created at the first node of the variable impedance network, wherein the second impedance of the plurality of load impedances is created by adjusting the one or more of the adjustable tuning elements; and wherein the qualifying the impedance matching network or RF voltage sensor further comprises qualifying the impedance matching network or RF voltage sensor if a signal from the RF voltage sensor, the RF current sensor or the frequency sensor is within a range set relative to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory while the first impedance of the RF generator is matched to the first impedance of the plurality of load impedances and the second impedance of the RF generator is matched to the second impedance of the plurality of load impedances.





BRIEF DESCRIPTION OF THE DRAWINGS

So that the manner in which the above recited features of the present disclosure can be better understood in detail, a more particular description of the disclosure, briefly summarized herein, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only exemplary embodiments and are therefore not to be considered limiting of its scope, and may admit to other equally effective embodiments.



FIG. 1 illustrates a schematic block diagram of a wideband variable impedance test load coupled to an RF generator and impedance matching network, according to specific example embodiments of this disclosure;



FIGS. 2A and 2B are schematic diagrams of RF impedance matching circuits, according to specific example embodiments of this disclosure;



FIG. 3 illustrates a schematic block diagram of a test unit controller, according to specific example embodiments of this disclosure;



FIG. 4 illustrates a schematic block diagram of an ECAT controlled variable impedance load coupled to an RF generator and impedance matching network under test, according to specific example embodiments of this disclosure;



FIGS. 5A and 5B illustrate a flow chart of a method for running a multipoint match qualification of an impedance matching network, according to specific example embodiments of this disclosure;



FIG. 6 illustrates a schematic block diagram of a system that may be adapted for sensor qualification and calibration using a wideband variable impedance load, according to specific example embodiments of this disclosure;



FIGS. 7A and 7B illustrate a flow chart of a method for sensor qualification and calibration using a wideband variable impedance load, according to specific example embodiments of this disclosure; and



FIGS. 8A and 8B are schematic block diagrams of forward and reverse RF transmission configurations, respectively, for match tuning and filter performance qualifications, according to specific example embodiments of this disclosure.





To facilitate understanding, identical reference numerals have been used, where possible, to designate identical elements that are common to the figures. It is contemplated that elements and features of one embodiment may be beneficially incorporated in other embodiments without further recitation.


DETAILED DESCRIPTION

Embodiments of the present disclosure generally relate to apparatus and methods for testing and verification of equipment used in the manufacture of semiconductor devices. More specifically, embodiments provided herein generally include apparatus and methods for testing and verifying operation of radio frequency (RF) power generation and impedance matching equipment used for generating a plasma in a plasma chamber during semiconductor processing therein.


Embodiments for a wideband variable impedance load for high volume manufacturing qualifications and diagnostics of a radio frequency (RF) power source and impedance matching network are disclosed herein. The wideband variable impedance load may comprise a fixed value resistor operable at a plurality of frequencies and coupled with a variable impedance network capable of transforming the fixed value resistor into a plurality of complex impedances over a wide range of frequencies, e.g., from about 100 kHz to about 250 Mhz. The variable impedance network may comprise various adjustable and/or switched fixed value elements, e.g., variable value capacitors and switched fixed value inductors and capacitors to cover such a wide range of frequencies and impedances.


As used herein a “plurality of impedances” and a “plurality of frequencies” may be interpreted to be in context different impedances at different frequencies, different impedances at the same frequency, or different frequencies at the same impedance. The term “wideband” may be interpreted to mean over a wide range of different frequencies, and “wide range” may be interpreted to mean over a large number of different values. The terms “recording” and “storing in a memory” e.g., data, may be used interchangeably herein.


An adjustable wideband complex impedance load is disclosed that may be used in high-volume qualification testing of high-power RF generators and impedance matching networks, for example but not limited to, for plasma processing chambers. The adjustable wideband complex impedance load is capable of being set to a plurality of different complex impedances over a wide range of different frequencies. Change of impedance may be rapid, automatic and resettable from configuration settings stored in a memory and/or with a user interface. These configuration settings may be inductance and capacitance value settings of a variable impedance load in relation to desired complex impedances at test frequencies. This variable impedance load may be used for match and sensor qualifications in an automatic and/or manual test environment. Programs may be derived to run test, qualification and troubleshooting of RF generators and associated impedance matching networks at the factory during equipment testing, qualification and/or at vendor/customer manufacturing facilities during equipment testing and/or trouble shooting.


Built-in radio frequency (RF) voltage and current sensors measure RF voltage and RF current, and phase angle is determined therefrom as disclosed herein for determining load impedances as they change in real time during equipment testing, qualification and/or at vendor/customer manufacturing facilities during equipment testing and/or trouble shooting. Phase angle is determined by the lead or lag times between the RF voltage V(t) and RF current I(t) waveforms and is expressed in degrees θ. RF power P(t) is the product of voltage and current, or P(t)=V(t)*I(t), while the respective RMS (root-mean-square) values after sensor detection are P=V*I*cos θ, where θ is the phase angle between the voltage and current waveforms. Using Ohm's Law Z(t)=V(t)/I(t) or Z may be expressed as Z=R+jX, where R=Z cos θ and jX=Z sin θ. jX=jωL−j/ωC, where ω=2πf, f is in frequency, C is in farads and L is in henrys. R is resistance in ohms and jX is reactance in ohms, where +jX is inductive reactance and −jX is capacitive reactance. Power is frequency independent and impedance is frequency dependent.


Embodiments disclosed herein provide for the necessary equipment hardware, e.g., inductors, variable capacitance capacitors, a high-power RF dummy load (e.g., water cooled resistor) and RF sensors necessary for all match and sensor qualification requirements. Operation and control of the wideband complex impedance load disclosed herein may be adapted for remote, automated computer control such as, for example but is not limited to, Ethernet for Control Automation Technology (EtherCAT) or (ECAT) compliance and communications with user interfaces, e.g., laptop computer, and plasma chamber tools. A manual/fully automatic wideband complex impedance load may be adapted for use as a portable system for field testing and equipment debugging at any location.


Referring now to the drawings, the details of example embodiments are schematically illustrated. Like elements in the drawings will be represented by like numbers, and similar elements will be represented by like numbers with a different lower-case letter suffix.


Referring to FIG. 1, depicted is a schematic block diagram of a wideband variable impedance test load coupled to an RF generator and impedance matching network, according to specific example embodiments of this disclosure. A wideband variable impedance test load 100 may comprise a fixed value resistor 102, an RF power sensor (wattmeter) 104, a variable impedance network 106, RF voltage and current sensors 108, a frequency detector 110, a test unit controller 112, temperature sensors 114, a memory 116 and an interlock circuit 118. The fixed value resistor 102 may be a water cooled non-inductive resistor for high power operation. The RF generator may be a high-power RF generator capable of generating kilowatts of RF power at one or more RF frequencies.


A radio frequency power source 130 may comprise a radio frequency generator 132, forward and reverse RF power sensors 134 and/or voltage and current sensors, and an impedance matching network 136. An output of the impedance matching network 136 may be coupled to an input of the variable impedance network 106 through the RF voltage and current sensors 108. Measurement of forward and reverse RF power with the forward and reverse RF power sensors 134 may be used to derive standing wave ratio (SWR). In some example embodiments described hereinafter, the radio frequency power source 130 may be a device under test (DUT).


A user interface 140, e.g., computer (laptop), may communicate with the test unit controller 112 of the wideband variable impedance test load 100, and to the RF generator 132, the forward and reverse RF power sensors 134 and the impedance matching network 136. A more detailed description of the test unit controller 112 is shown in FIG. 3 and described in the specification hereinafter.


The test unit controller 112 may communicate with and control motorized variable capacitors (FIGS. 2A-2B) in the variable impedance network 106. The test unit controller 112 may also communicate with the RF voltage and current sensors 108, the frequency detector 110, the memory 116, the interlock circuit 118, and the temperature sensors 114. The test unit controller 112 may be used to communicate with the user interface 140 or other monitoring and control systems (not shown). Variable impedance load settings and automatic testing procedures may be stored in the memory 116 and may be executed by a processor within the test unit controller 112. Load impedance may be adjusted by the motorized vacuum variable capacitors (not shown) in the variable impedance network 106 and proper operation may be verified by the RF voltage and current sensors 108 at the input of the variable impedance load 100. Measurement readings from the RF voltage and current sensors 108 may be used to precisely control the variable load impedance at different target frequencies. In order to keep stable and consistent complex load values, temperature may be monitored in real time at multiple locations in the variable impedance load 100 with the temperature sensors 114. The interlock circuit 118 may also be implemented for safety purposes to control over temperature switches (not shown), cable-in-place switches (not shown), and match-in-place switches (not shown). In addition, for example but not limited to, a water cooled 50-ohm resistor 102 may be used as a fixed resistive load for high RF power operation and may be coupled to the output side of the variable impedance network 106 via the RF power sensor 104 (wattmeter).


Referring to FIGS. 2A and 2B, depicted are schematic diagrams of RF impedance matching circuits, according to specific example embodiments of this disclosure. In FIGS. 2A and 2B, three variable capacitors VC1, VC2 and VC3, e.g., motorized vacuum variable capacitors are shown. They may have a capacitive range, but are not limited to, from about 3 pF to about 5000 pF. L1 is an inductor and may have an inductive range of, but is not limited to, about 0.01 μH to about 1000 μH. VC3 may be used to adjust a target frequency from about 100 kHz to about 250 MHz, and VC1 and VC2 may be used to tune to a target impedance. In some embodiments, especially complex loads for lower frequencies, the RF circuit schematic configuration shown in FIG. 2B may be implemented. An additional inductor L2 may be added before the 50-ohm resistor load 102 for adjusting the variable impedance network 106 to a desired value. Inductor L2 may be in a range of, but is not limited to, about 0.01 μH to about 1000 μH. A low pass Pi matching circuit is shown in FIGS. 2A and 2B. In some embodiments, the RF matching circuit may be an L type circuit with two motorized vacuum variable capacitors, e.g., VC1 and VC3 only. The capacitance and/or inductance values of the variable elements, e.g., VC1, VC2, VC3; may be controlled and monitored by a position control and monitoring circuit 202 for each variable element (one shown). Additional capacitors and/or inductors may also be switched into the matching circuit as required (not shown). A motor position actuator of the position control and monitoring circuit 202 may also include a position sensor that indicates the mechanical position of the adjustable element, e.g., amount of shaft rotation of the variable vacuum capacitor or a synchronized stepper motor position count after minimum and maximum rotation positions have been determined (detection of maximum and minimum clockwise and counter-clockwise shaft rotations). Position values may be correlated in a capacitance (or inductance)—position value table so that capacitance and/or inductance values may be monitored and set to a desired position based upon a required capacitance/inductance value. Element position values may be used for monitoring, presetting and testing according to the teachings of this disclosure.


Referring to FIG. 3, depicted is a schematic block diagram of a test unit controller, according to specific example embodiments of this disclosure. The test unit controller 112 may monitor and control the variable impedance load 100 circuit elements. The test unit controller 112 may comprise a microcontroller 310, a memory (volatile and/or non-volatile) 116, a communications interface 320, input signal conditioning 314, and stepper motor drivers and position sensors 202. In addition, the microcontroller 310 may have a digital signal processing (DSP) and fast Fourier transform (FFT) capabilities in either an internal core processor or an external DSP/FFT processor 318. The microcontroller 310 may provide general purpose inputs and outputs (GPIO) for coupling to the input signal conditioning 314, voltage V(t), current I(t) and frequency (f), and the stepper motor drivers and position sensors 202. The voltage V(t) and current I(t) and frequency (f) data from the RF voltage and current sensors 108, and the frequency detector 110 may be input in real time to the microcontroller 310. The microcontroller 310 may then determine phase, and with frequency, determine the impedance at the input of the variable impedance network 106. The microcontroller 310 may also be in communications via the communications interface 320. The communications interface 320 may be adapted for communicating with protocols such as, for example but is not limited to, Ethernet for Control Automation Technology (EtherCAT) or (ECAT) compliance and serial RS-232, Ethernet, WiFi and Bluetooth communications with user interfaces, e.g., laptop computer, and plasma chamber tools. Software instructions (program) and data may be coded and stored within the memory 116 for processing by the external DSP/FFT processor 318. A software program (or computer instructions) readable by the processor in the test unit controller 112 determines which tasks may be performable by the components in the variable impedance load 100. Typically, the program, which is readable by the processor (e.g., microcontroller 310) in the variable impedance load 100, includes code, which, when executed by the processor, performs tasks relating to the testing scenarios described herein. The program may include instructions that may be used to control the various hardware and electrical components within the variable impedance load 100 to perform the various process tasks and various process sequences used to implement the methods described herein. In one embodiment, the program includes instructions that may be used to perform one or more of the operations described below in relation to FIGS. 5A, 7A and 8A.


Referring to FIG. 4, depicted is a schematic block diagram of an ECAT controlled variable impedance load coupled to an RF generator and impedance matching network under test, according to specific example embodiments of this disclosure. According to the circuit shown in FIG. 4, the variable impedance load 100a may have three motorized vacuum variable capacitors in the RF circuit (see FIGS. 2A-2B and 3) of the variable impedance network 106; RF voltage and current sensors 108, a frequency detector 110 at the input of the variable impedance network 106, an interlock circuit 118, a local memory 116, multiple temperature sensors 114 and a 50-ohm resistor load 102, e.g., a water cooled non-inductive resistor for high power dissipation. All of these internal devices may be controlled by a local controller, e.g., test unit controller 112a, for example but not limited to, communicating using Ethernet for Control Automation Technology (EtherCAT) over a communication line 454. EtherCAT is a real time industrial Ethernet protocol. Due to short cycle time and low jitter, EtherCAT has benefits of high speed and accurate synchronization. The test unit controller 112a may serve as a local EtherCAT master. All match components, e.g., RF voltage and current sensors 108 and frequency detector 110, variable impedance network 106, capacitor control 202 (FIG. 2A), may be EtherCAT slave devices, which may be controlled by the test unit controller 112a. During qualification tests, a new matching network 436 under test may be coupled between an RF generator 132 and the variable impedance load 100a through a 50-ohm transmission line 460. The RF generator 132 may supply RF power at frequencies from about 100 kHz to about 250 MHz. A synchronization signal 456, e.g., transistor-transistor logic (TTL), may be provided to the RF voltage and current sensors 108 at the input of the variable impedance load 100a directly from the RF generator 132 or remote tool controller 450 for advanced pulse testing and debugging.


Plasma Chamber Process Simulation


Impedance, frequency and power associated with a plasma chamber process may be measured with RF voltage, RF current, RF frequency and RF power sensors, and the values therefrom may be recorded during a representative plasma chamber process using a qualified radio frequency power source and operational plasma chamber doing a demonstrative plasma process. The recorded RF voltage, RF current, RF frequency and RF power readings may then be used to create a test program for simulation of the representative plasma chamber process by controlling operation of the wideband variable impedance test load 100 in combination with an RF power source 130 under test. The operating parameters of a known good and properly operational radio frequency power source may also be recorded for comparison with subsequently measured parameters of another radio frequency power source 130 under test. A library of different plasma chamber process simulations may be created for testing of RF power sources and/or impedance matching networks under many different operating requirements and conditions. The library of different chamber process simulations and related data may be used to train one or more artificial intelligence (AI) or machine learning (ML) software application running in the test unit controller that may be able to diagnose issues with a component under test and/or help determine that the component under test is able to function within an acceptable range of performance.


When a radio frequency power source 130 to be tested is coupled to the wideband variable impedance test load 100 running the process simulation test programs, the wideband variable impedance test load 100 will simulate (appear to be) a plasma chamber by replicating the recorded plasma process parameters. All operational parameters of the RF power source 130 under test may be measured and stored during the simulated plasma process. For example, operation of the RF generator 132, RF power sensors 134 and impedance matching network 136 comprising the RF power source 130 under test may be monitored and recorded for proper operation thereof. The readings from the RF voltage and current sensors 108, RF frequency detector 110 and RF power 104 sensor may further be used for test verification purposes of the RF power source 130 under test. The readings from the RF voltage and current sensors 108, RF frequency detector 110 and RF power 104 sensor may be stored as RF voltage sensor data, RF current sensor data, frequency detector data and RF power data in memory 116. The measured and stored readings and/or operational parameters may then be compared to operational parameters from a qualified (known good) RF power source previously recorded, and a determination made of the calibration and operability of the radio frequency power source 130 under test based upon the process simulation test results.


The variable impedance matching network 106 may be adapted to transform the 50-ohm resistor 102 to the required simulated (measured) chamber impedance. Capacitance/inductance values may be calculated to make this impedance transformation. For example, once the capacitance values required for impedance transformation are determined then the variable capacitors (VC1, VC2, VC3) may be positionally set to obtain those capacitance values, for example but not limited to, with a position/capacitance lookup table.


Qualification Test Procedures


Referring to FIG. 4, a remote tool controller 450 may be provided for communicating with the impedance matching network 436 under test, RF generator 132 and the test unit controller 112a. The test unit controller 112a may communicate with the remote tool controller 450 using EtherCAT protocol on data communications line 454. The test unit controller 112a of the variable impedance load 100a may do a master to slave conversion which allows communication to the remote tool controller 450 acting as master on the EtherCAT data communications line 454. The test unit controller 112a may receive requests from the remote tool controller 450 and provide feedback thereto. Also, the remote tool controller 450 may receive forward and reflected power information from the RF power sensors 134 and thereby obtain data from the impedance matching network 436 under test. A cooperative intelligent qualification testing procedure may be achieved using the circuit configurations depicted and described herein. In addition, the user interface 140a and variable impedance load 100a (via test unit controller 112a) may feature serial control ports coupled via communications line 452 for uploading multipoint qualification procedures and complex load tuning algorithms by using an external software and application programming interface (API). The uploaded load tuning algorithms may include testing sequence recipes that may be used to simulate variations in the complex load during plasma ignition, variations in the complex load found during common processing plasma process sequences and other useful plasma processing simulations. Complex load impedances and variable capacitor motor positions may be monitored and accessed from external user interfaces 140a, e.g., laptop computers, which provides great flexibility in application and use of the variable impedance load 100a. Also, advanced complex load control and/or testing procedures may be deployed in real time. The variable impedance load 100a may operate fully autonomously, cooperatively with the remote tool controller 450 or manually controlled by the user interface 140a, e.g., computer laptop.


The wideband variable impedance test load 100a may be configured to provide a testing environment that may test over wide frequency/impedance ranges and may be used for RF power source 130 testing and debugging. The wideband variable impedance test load 100a may be fully and automatically controlled by the remote tool controller 450 and be tuned to different selected load impedances, for example but not limited to plasma chamber testing. The wideband variable impedance test load 100a may also be used for new RF power match equipment qualification in high volume manufacturing.


Real time readings at certain time intervals of the devices under test (DUT), e.g., RF voltage and current sensors 608 and real time phase derived therefrom, and tuning element positions of the impedance matching network 436 may be recorded along with a “time stamp” for each reading recorded. Temperature measurements from temperature sensors 114 may also be recorded and time stamped during a qualification test, along with RF generator power outputs correlated with DUT temperatures. From the recorded RF voltage, current, phase and time stamps thereof, impedance traces may be derived. An “impedance trace” is defined herein as a change in impedance over a time period. Tuning element position changes over a time period may be referred to as “tuning element position traces.” Similarly RF voltage, current, phase, and power traces may be defined from the measured/calculated and stored values thereof correlated with the associate time stamps.


These derived traces may be used for dynamic qualification testing of the DUT. For example, dynamic qualification testing may be used to simulate impedance transition states such as the response time of an impedance matching network to an impedance change (from variable impedance network 106) by characterizing the time required for tuning element positions of the impedance matching network 436 to change to a new value to match the impedance change. Temperature rise over time (temperature trace) resulting from RF power supplied to the impedance matching network 436 may also be used to compensate for variation in temperature of the one or more affected components over time that are under test and thus in determining qualification of a DUT. Swept frequencies (varies from low to high frequencies) of RF power from a test RF generator may be used for testing RF filters. A variable frequency RF generator may be used for testing impedance matching networks over both impedance and frequencies ranges (traces).


Referring to FIGS. 5A and 5B, depicted is a flow chart of a method for running a multipoint match qualification of an impedance matching network, according to specific example embodiments of this disclosure. This flow chart represents an example for running an automatic multipoint match qualification of an impedance matching network 436 (FIG. 4) under test. In step 502, a first tuning element, e.g., variable capacitor VC3, of the variable impedance network 106 may be adjusted to a target position (e.g., capacitance setting) based upon a target frequency. The target position(s) or settings may be determined empirically or from a preprogrammed test menu, and may be selected to simulate an impedance of a wideband variable impedance load found during a typical processing recipe that the impedance matching network will experience during operation, such as a step within a plasma processing recipe. In step 504, a calibrated standard (qualified) match may be coupled to the variable impedance load 100a. In step 506, RF power at a target frequency may be applied through the calibrated standard match to the input node of the variable impedance load 106 that may be coupled to the transmission line 460.


In step 508, tuning elements of the variable impedance network 106 may be adjusted for desired test load impedances as calculated from the RF voltage and current measured by the RF voltage and current sensors 108. The frequency would be known from the frequency setting of the RF generator 132 or may be measured by the frequency detector 110. In step 510, the tuning element positions of the variable impedance network 106 and the calibrated standard (qualified) match for each of the test load impedances at the target frequencies may be recorded (stored in memory 116). Optionally, recording a plurality of tuning element positions (position traces) of the calibrated standard (qualified) match during position transitions may be time stamped for creating and comparing response times thereof. These test load impedances may then be used as testing points for the qualification of other unqualified impedance matching networks 436 that are under test. As is discussed further below, the stored test load impedances may include data relating to the various component settings and impedances traces over time as a way to determine if the matching networks 436 is functioning correctly and/or predict any possible future device component failures. The stored information may be stored in memory as a lookup table or a real-time map measured using a network analyzer. The stored information may include RF voltage data, RF current data and/or frequency data, which was previously collected by the RF voltage and current sensors 108 and frequency detector 110 and stored in memory. In step 512, an impedance matching network 436 under test is mounted to and in RF communications with the variable impedance load 100a (variable impedance network 106). In step 514, an automatic testing procedure may be performed on the impedance matching network under test using the recorded (stored) tuning element positions of the variable impedance network.


In step 516, the tuning element positions of the impedance matching network 436 under test (DUT) may be recorded for each of the test load impedances presented during testing. Optionally, recording a plurality of tuning element positions (position traces) of the match DUT during position transitions may be time stamped for creating and comparing the response times (position traces) of the match DUT to the position traces of the previously recorded calibrated standard (qualified) match. In step 518, the recorded tuning element positions of the impedance matching network 436 under test for each of the test load impedances may be compared to the recorded (stored) tuning element positions of the calibrated standard (qualified) match at those same test load impedances. The position traces for of both the match DUT and qualified match may be compared for dynamic position qualification of the match DUT. In step 520, if the comparisons between the tuning element positions, and optionally dynamic position transition times, of the qualified match 638 and the impedance matching network 436 under test are within certain acceptable values, then the impedance matching network 436 under test may be deemed “qualified.” If not, then the impedance matching network 436 is not qualified and must be repaired and/or recalibrated (reworked). Similar testing may be used to verify tuning element match ranges and synchronizations of the adjustable tuning element positions with expected capacitance/inductance values.


Sensor Calibration


Referring to FIG. 6, depicted is a schematic block diagram of a system that may be adapted for sensor qualification and calibration using a wideband variable impedance load, according to specific example embodiments of this disclosure. A qualified impedance matching network 636 e.g., one having calibrated and qualified matching element settings, and calibrated and qualified RF voltage and current sensors 638 may be coupled between an RF generator 132 and a variable impedance load 100b. The RF voltage and current sensors 608 under test may be mounted at an input 640 of the variable impedance load 100b and be calibrated and certified by comparing readings of the RF voltage and current sensors 608 under test with the readings of the qualified and calibrated RF voltage and current sensors 638 at various complex impedance settings of the variable impedance network 106.


Referring to FIGS. 7A and 7B, depicted is a flow chart of a method for sensor qualification and calibration using a wideband variable impedance load, according to specific example embodiments of this disclosure. This flow chart represents an example for running an automatic multipoint sensor qualification and calibration using the equipment configuration shown in FIG. 6. In step 702, a first tuning element, e.g., variable capacitor VC3, of the variable impedance network 106 may be adjusted to a target position (e.g., capacitance setting) based upon a target frequency. The target position(s) or settings may be determined empirically or from a preprogrammed test menu. In step 704, a calibrated standard (qualified) match may be coupled to the variable impedance load 100a. In step 706, RF power at a target frequency may be applied through the calibrated standard match to the input node of the variable impedance load 106 that may be coupled to the transmission line 660.


In step 708, tuning elements of the variable impedance network 106 may be adjusted for desired test load impedances as calculated from the RF voltage and current measured by the qualified RF voltage and current sensors 638. The frequency would be known from the frequency setting of the RF generator 132 or may be measured by the frequency detector 110. In step 710, the tuning element positions of the variable impedance network 106 for each of the test load impedances at the target frequencies may be recorded (stored in memory 116). Optionally, recording a plurality of tuning element positions (position traces) of the variable impedance network 106 during position transitions may be time stamped for creating and comparing response times thereof. These test load impedances may then be used as testing points for the calibration and qualification of RF voltage and current sensors 608 under test. In step 712, RF voltage and current sensors 608 under test may be mounted to and in RF communications with the variable impedance load 100b (variable impedance network 106). In step 714, an automatic testing procedure may be performed on RF voltage and current sensors 608 under test using the recorded (stored) tuning element positions of the variable impedance network.


In step 716, the information from the RF sensors 608 under test and the qualified RF voltage and current sensors 638 may be recorded for each of the test load impedances presented during testing (recorded tuning element positions). Optionally, recording a plurality of sensor readings (current and voltage) of the RF sensors under test during position transitions of the tuning elements that may be time stamped for subsequent voltage and current traces of the RF sensors under test. In step 718, the information from RF voltage and current sensors 608 under test may be compared with the RF voltage data and RF current data collected from qualified (calibrated) RF voltage and current sensors 638. Optionally, comparison of the dynamic voltage and current traces of the RF voltage and current sensors 608 under test and the qualified (calibrated) RF voltage and current sensors 638 may be determined. In step 720, if the recorded sensor value comparisons between the qualified (calibrated) RF voltage and current sensors 638 and the RF voltage and current sensors 608 under test are within certain acceptable values, and optionally RF voltage and current trace times, then the RF voltage and current sensors 608 under test are deemed calibrated or “qualified.” If not, then the RF voltage and current sensors 608 under test are not qualified and must be repaired and/or recalibrated (reworked).


Match Tuning and Filter Performance Qualifications


Referring to FIGS. 8A and 8B, depicted are schematic block diagrams for forward and reverse RF transmission configurations, respectively, for match tuning and filter performance qualifications, according to specific example embodiments of this disclosure. FIG. 8A shows a forward RF power test setup that may be used to verify tuning positions of impedance matching networks under test. In the forward RF power test setup, an RF generator 130a, may be set to a match target frequency, connected to an input of an impedance matching network 836 under test, and a variable impedance load 100a may be connected to an output thereof through 50-ohm coaxial transmission lines. The testing process may be completed using the forward RF power test setup illustrated in FIG. 8A and may be similar to the method illustrated in FIG. 5A, and discussed above.



FIG. 8B shows a reverse RF power test setup that may be used to check RF filter performance. In the reverse RF power test setup, an RF generator 130b not at the match target frequency may be connected to an output of an impedance matching network 838 under test and a variable impedance load 100b may be connected to an input thereof through 50-ohm transmission lines. Built-in RF sensors (not shown) at the input of the variable impedance load 100b may measure power reaching the variable impedance load 100b and other parameters to verify RF filter performance. The RF generator frequency in the reverse RF power test setup of FIG. 8B may generally be determined based on available RF power frequencies and possible harmonic frequencies in a plasma processing chamber.


Dynamic Qualification Test Procedures


Each of the aforementioned qualification test procedure steps may be performed using multiple settings of the tuning element positions of the variable impedance network over certain periods of time, e.g., real-time complex impedance control over time. Thus producing impedance traces, e.g., a series of a single-point impedance settings stored over a period of time. Such impedance traces, when measured in combination with a qualified impedance matching network and/or qualified RF voltage and current sensors, may be stored in a memory of a test unit controller and/or a tool controller. The stored impedance traces over time may then be used for dynamically testing and analysis of a device under test (DUT). Impedance traces may converted and/or stored in memory so that the tuning element positions of the variable impedance network over certain periods of time may be used to adjust portions of the testing process and/or determine how a DUT is performing. Therefore, the various dynamic parameters of a DUT may be evaluated by using the recorded impedance traces. The dynamic measurements may thus provide additional process qualification criteria to assure that the DUT is functioning as expected and as desired over a wider range of process settings.


In some embodiments, the test unit controller and/or a tool controller may be configured to run test sequences on the DUT autonomously. During these test sequences the test unit controller and/or tool controller may be configured to adjust, for example, the RF power level and frequency of the RF signal provided from the RF source, and adjust the impedances created by the variable impedance network by adjusting the settings of the tuning element positions over certain periods of time. The test unit controller and/or tool controller may also be configured to receive feedback from the RF voltage and current sensors 108, frequency detector 110 and/or a temperature sensor to improve the control of the impedance created by the variable impedance network during the testing of the DUT.


For example, but is not limited to, instantaneous and measured response times of the variable capacitors VC1, VC2 and VC3; and test repeatability of the settings for the variable capacitors VC1, VC2 and VC3 may be used to improve the DUT qualification process and/or determine how a DUT is performing. Temperature profiles of the impedance matching network taken over time and at various RF power levels may also be collected. Frequency sweeping by the RF generator may be used for testing of impedance matching networks, RF filters and RF sensors/detectors. Dynamic testing repeatability of an impedance matching network and/or RF voltage and current sensors may be determined.


Measured impedances values, impedance traces and/or tuning element positions of the variable impedance network over certain periods of time may be stored in the test unit controller and/or tool controller and be used to perform dynamic testing and qualification of DUTs. The measured impedance values, impedance traces and or tuning element positions information may be stored in memory, a lookup table, or a map measured using a network analyzer for analysis purposes. Varying RF power levels, RF frequencies and test load impedances (tuning element positions of the variable impedance network) over time, while monitoring RF sensor (voltage and current) readings, phase, frequency and temperature of DUTs then comparing the resulting measurements with the same measurements previously made from a qualified matching network and RF sensors stored in a memory may be used to determine whether the DUT meets desired qualification standards. The tool controller may run test sequences autonomously, including but not limited to, changing power level, frequency and load impedances. Feedback control of the variable impedance network, along with real-time temperature monitoring and compensation, may be used to improve the accuracy of the impedance set by the variable load impedance during testing and thus improve the DUT qualification process.


In one example of a dynamic qualification testing process, the test unit controller and/or tool controller may be used to measure and qualify the dynamic response of a DUT. Initially, during the dynamic qualification testing a plurality of position settings of at least one of the variable capacitors VC1, VC2 and VC3 of the variable impedance network may be stored in memory so that the variable capacitor settings may be used to test a series of selected complex load impedances during a future testing sequence. Next, a calibrated standard match may be connected to the output of an RF source and the input of the variable impedance network that may be connected to load resistor. Then RF power may be applied through the calibrated standard match, variable impedance network and load resistor, while the RF voltage and current sensors, frequency sensors and temperature sensors collect data as the complex impedance is varied in real time using the previously stored the variable capacitor settings. During the testing of the calibrated standard match, feedback may be provided by the sensors to allow the test unit controller and/or a tool controller to control the settings of the variable capacitors and/or RF generator frequency to form load impedance traces, while the variable capacitor positions, response time, RF voltage data, RF current data, frequency data is collected. The formed load impedance traces may then be stored in memory. Then the dynamic qualification testing process may be performed a plurality of times on a DUT using an automatic testing procedure that utilizes one or more stored impedance traces for qualification of the DUT.


Additionally, in some other embodiments, a dynamic qualification testing process may use prior formed impedance traces to qualify a DUT. The impedance trace data may be determined and/or predicted from data collected during prior test runs. Alternately, a user may define impedance traces by uploading prior collected data or by use of a user interface. Initially, during the dynamic qualification testing a plurality of position settings of at least one of the variable capacitors VC1, VC2 and VC3 of the variable impedance network may be stored in memory so that the variable capacitor settings may be used to test a series of selected complex load impedances during a future testing sequence. The created impedance trace may be stored in memory as a lookup table or a map measured using a network analyzer. Next, a DUT is connected to the output of an RF source and the input of the variable impedance network that is connected to a load resistor. Then the dynamic qualification testing process may be performed a plurality of times on the DUT using an automatic testing procedure that utilizes one or more of the stored impedance traces. During the testing of the DUT, feedback may be provided by the sensors to allow the test unit controller and/or a tool controller to control the settings of the variable capacitors and/or RF generator frequency to form DUT impedance traces, while the variable capacitor positions, response time, RF voltage data, RF current data, frequency data and/or temperature data is collected in real time. The formed DUT impedance traces may then be stored in memory. The collected data, which includes the DUT impedance traces, may then be compared with stored qualification data to determine if the DUT has met a desired set of criteria.


The present disclosure has been described in terms of one or more embodiments, and it should be appreciated that many equivalents, alternatives, variations, and modifications, aside from those expressly stated, are possible and within the scope of the disclosure.

Claims
  • 1. A system for analyzing, qualifying or testing radio frequency (RF) components, comprising: a variable impedance network comprising: a first node that is adapted for coupling to a first resistance element; andadjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node is configured to be coupled to an RF power source; andan impedance matching network having an input coupled to an output of the RF power source and an output adapted for coupling to the second node of the variable impedance network; andone or more RF voltage sensors, one or more RF current sensors, and a frequency detector that are each coupled to the second node of the variable impedance network; anda test unit controller coupled to the adjustable tuning elements, wherein the test unit controller is programmed to perform operations comprising: controlling the adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node; anddetermining that the impedance matching network is qualified by comparing a signal from at least one of RF voltage sensors, RF current sensors or the frequency detector to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory.
  • 2. The system of claim 1, wherein the first resistance element is a fixed value resistor coupled to the first node of the variable impedance network, wherein the resistance of the fixed value resistor is 50 ohms.
  • 3. The system of claim 1, wherein the variable impedance network is adapted to receive an RF signal from the RF power source that has a frequency within a range of from about 100 kHz to about 250 MHz.
  • 4. The system of claim 1, further comprising an RF power sensor coupled between the first node of the variable impedance network and the resistance.
  • 5. The system of claim 1, wherein the test unit controller comprises: a microcontroller having inputs coupled to the RF voltage and RF current sensors, and the frequency detector,inputs and outputs for monitoring positions of and controlling the adjustable elements of the variable impedance network, anda memory that includes information relating to a plurality of settings of one or more of the adjustable tuning elements stored therein;wherein the plurality of settings of one or more of the adjustable tuning elements are configured to be used to create the plurality of impedances at the second node.
  • 6. The system of claim 1, wherein the RF power source comprises an RF generator.
  • 7. The system of claim 6, wherein the RF generator is a high-power RF generator.
  • 8. A system for analyzing, qualifying or testing radio frequency (RF) components, comprising: a radio frequency (RF) power source comprising an RF generator; andan impedance matching network having an output and input coupled to an output of the RF generator;a wideband RF variable impedance test load comprising: a variable impedance network comprising: a first node that is adapted for coupling to a resistance; andadjustable tuning elements for transforming the resistance coupled to the first node into a plurality of impedances at a second node, wherein the second node is configured to be coupled to the output of the impedance matching network; andone or more RF voltage sensors, one or more RF current sensors and a frequency detector that are each coupled between the second node of the variable impedance network and the output of the impedance matching network; anda test unit controller coupled to the adjustable tuning elements, wherein the test unit controller is programmed to perform operations comprising: controlling adjustment of the adjustable tuning elements for selected ones of the plurality of impedances at the second node; andqualifying the impedance matching network or RF voltage sensor by comparing a signal from at least one of RF voltage sensors, RF current sensors or the frequency detector to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory.
  • 9. The system of claim 8, further comprising forward and reverse RF power sensors coupled between the output of the RF generator and the input of the impedance matching network.
  • 10. The system of claim 8, further comprising an RF power sensor coupled between the first node of the variable impedance network and the resistance.
  • 11. The system of claim 10, wherein the test unit controller comprises: a microcontroller having inputs coupled to the RF voltage and RF current sensors, and the frequency detector,inputs and outputs for monitoring positions of and controlling the adjustable elements of the variable impedance network,a memory that includes information relating to a plurality of settings of one or more of the adjustable tuning elements stored therein, anda communications interface;wherein the plurality of settings of one or more of the adjustable tuning elements are configured to be used to create the plurality of impedances at the second node.
  • 12. The system of claim 8, further comprising a user interface for controlling testing operations of the RF power source and the wideband RF variable impedance test load.
  • 13. The system of claim 12, wherein a remote tool controller is in communication with the communications interface of the test unit controller.
  • 14. A method of analyzing, qualifying or testing radio frequency (RF) components, comprising: delivering, by use of an RF generator, a first RF signal through an impedance matching network to a first node of a variable impedance network, wherein the variable impedance network comprises: a controller;a second node that is adapted for coupling to a resistance element;adjustable tuning elements for transforming the resistance of the resistance element coupled to the second node into a plurality of load impedances at the first node; andan RF voltage sensor, an RF current sensor, and a frequency detector that are each coupled between the first node and the adjustable tuning elements;matching, by use of the impedance matching network, a first impedance of the RF generator to a first impedance of the plurality of load impedances created at the first node of the variable impedance network, wherein the first impedance of the plurality of load impedances is created by adjusting one or more of the adjustable tuning elements; andqualifying the impedance matching network or RF voltage sensor if a signal from the RF voltage sensor, the RF current sensor or the frequency sensor are within a range set relative to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory, while the first impedance of the RF generator is matched to the first impedance of the plurality of load impedances.
  • 15. The method of claim 14, further comprising: delivering, by use of an RF generator, a second RF signal through an impedance matching network to the first node of the variable impedance network;matching, by use of the impedance matching network, a second impedance of the RF generator to a second impedance of the plurality of load impedances created at the first node of the variable impedance network, wherein the second impedance of the plurality of load impedances is created by adjusting the one or more of the adjustable tuning elements; andwherein the qualifying the impedance matching network or RF voltage sensor further comprises qualifying the impedance matching network or RF voltage sensor if a signal from the RF voltage sensor, the RF current sensor or the frequency sensor is within a range set relative to at least one of RF voltage sensor data, RF current sensor data and frequency detector data stored in memory while the first impedance of the RF generator is matched to the first impedance of the plurality of load impedances and the second impedance of the RF generator is matched to the second impedance of the plurality of load impedances.
US Referenced Citations (738)
Number Name Date Kind
4070589 Martinkovic Jan 1978 A
4340462 Koch Jul 1982 A
4464223 Gorin Aug 1984 A
4504895 Steigerwald Mar 1985 A
4585516 Corn et al. Apr 1986 A
4683529 Bucher, II Jul 1987 A
4931135 Horiuchi et al. Jun 1990 A
4992919 Lee et al. Feb 1991 A
5099697 Agar Mar 1992 A
5140510 Myers Aug 1992 A
5242561 Sato Sep 1993 A
5449410 Chang et al. Sep 1995 A
5451846 Peterson et al. Sep 1995 A
5464499 Moslehi et al. Nov 1995 A
5554959 Tang Sep 1996 A
5565036 Westendorp et al. Oct 1996 A
5595627 Inazawa et al. Jan 1997 A
5597438 Grewal et al. Jan 1997 A
5610452 Shimer et al. Mar 1997 A
5698062 Sakamoto et al. Dec 1997 A
5716534 Tsuchiya et al. Feb 1998 A
5770023 Sellers Jun 1998 A
5796598 Nowak et al. Aug 1998 A
5810982 Sellers Sep 1998 A
5830330 Lantsman Nov 1998 A
5882424 Taylor et al. Mar 1999 A
5928963 Koshiishi Jul 1999 A
5933314 Lambson et al. Aug 1999 A
5935373 Koshimizu Aug 1999 A
5948704 Benjamin et al. Sep 1999 A
5997687 Koshimizu Dec 1999 A
6043607 Roderick Mar 2000 A
6051114 Yao et al. Apr 2000 A
6055150 Clinton et al. Apr 2000 A
6074518 Imafuku et al. Jun 2000 A
6089181 Suemasa et al. Jul 2000 A
6099697 Hausmann Aug 2000 A
6110287 Arai et al. Aug 2000 A
6117279 Smolanoff et al. Sep 2000 A
6125025 Howald et al. Sep 2000 A
6133557 Kawanabe et al. Oct 2000 A
6136387 Koizumi Oct 2000 A
6187685 Hopkins et al. Feb 2001 B1
6197151 Kaji et al. Mar 2001 B1
6198616 Dahimene et al. Mar 2001 B1
6201208 Wendt et al. Mar 2001 B1
6214162 Koshimizu Apr 2001 B1
6232236 Shan et al. May 2001 B1
6252354 Collins et al. Jun 2001 B1
6253704 Savas Jul 2001 B1
6277506 Okamoto Aug 2001 B1
6309978 Donohoe et al. Oct 2001 B1
6313583 Arita et al. Nov 2001 B1
6355992 Via Mar 2002 B1
6358573 Raoux et al. Mar 2002 B1
6367413 Sill et al. Apr 2002 B1
6392187 Johnson May 2002 B1
6395641 Savas May 2002 B2
6413358 Donohoe Jul 2002 B2
6423192 Wada et al. Jul 2002 B1
6433297 Kojima et al. Aug 2002 B1
6435131 Koizumi Aug 2002 B1
6451389 Amann et al. Sep 2002 B1
6456010 Yamakoshi et al. Sep 2002 B2
6483731 Isurin et al. Nov 2002 B1
6490536 Ellingboe Dec 2002 B1
6535785 Johnson et al. Mar 2003 B2
6621674 Zahringer et al. Sep 2003 B1
6664739 Kishinevsky et al. Dec 2003 B1
6733624 Koshiishi et al. May 2004 B2
6740842 Johnson et al. May 2004 B2
6741446 Ennis May 2004 B2
6777037 Sumiya et al. Aug 2004 B2
6808607 Christie Oct 2004 B2
6818103 Scholl et al. Nov 2004 B1
6818257 Amann et al. Nov 2004 B2
6830595 Reynolds, III Dec 2004 B2
6830650 Roche et al. Dec 2004 B2
6849154 Nagahata et al. Feb 2005 B2
6861373 Aoki et al. Mar 2005 B2
6863020 Mitrovic et al. Mar 2005 B2
6896775 Chistyakov May 2005 B2
6902646 Mahoney et al. Jun 2005 B2
6917204 Mitrovic et al. Jul 2005 B2
6947300 Pai et al. Sep 2005 B2
6962664 Mitrovic Nov 2005 B2
6970042 Glueck Nov 2005 B2
6972524 Marakhtanov et al. Dec 2005 B1
7016620 Maess et al. Mar 2006 B2
7046088 Ziegler May 2006 B2
7059267 Hedberg et al. Jun 2006 B2
7104217 Himori et al. Sep 2006 B2
7115185 Gonzalez et al. Oct 2006 B1
7126808 Koo et al. Oct 2006 B2
7147759 Chistyakov Dec 2006 B2
7151242 Schuler Dec 2006 B2
7166233 Johnson et al. Jan 2007 B2
7183177 Al-Bayati et al. Feb 2007 B2
7206189 Reynolds, III Apr 2007 B2
7218503 Howald May 2007 B2
7218872 Shimomura May 2007 B2
7226868 Mosden et al. Jun 2007 B2
7265963 Hirose Sep 2007 B2
7274266 Kirchmeier Sep 2007 B2
7305311 van Zyl Dec 2007 B2
7312974 Kuchimachi Dec 2007 B2
7408329 Wiedemuth et al. Aug 2008 B2
7415940 Koshimizu et al. Aug 2008 B2
7440301 Kirchmeier et al. Oct 2008 B2
7452443 Gluck et al. Nov 2008 B2
7479712 Richert Jan 2009 B2
7509105 Ziegler Mar 2009 B2
7512387 Glueck Mar 2009 B2
7535688 Yokouchi et al. May 2009 B2
7586099 Eyhorn et al. Sep 2009 B2
7586210 Wiedemuth et al. Sep 2009 B2
7588667 Cerio, Jr. Sep 2009 B2
7601246 Kim et al. Oct 2009 B2
7609740 Glueck Oct 2009 B2
7618686 Colpo et al. Nov 2009 B2
7633319 Arai Dec 2009 B2
7645341 Kennedy et al. Jan 2010 B2
7651586 Moriya et al. Jan 2010 B2
7652901 Kirchmeier et al. Jan 2010 B2
7692936 Richter Apr 2010 B2
7700474 Cerio, Jr. Apr 2010 B2
7705676 Kirchmeier et al. Apr 2010 B2
7706907 Hiroki Apr 2010 B2
7718538 Kim et al. May 2010 B2
7740704 Strang Jun 2010 B2
7758764 Dhindsa et al. Jul 2010 B2
7761247 van Zyl Jul 2010 B2
7782100 Steuber et al. Aug 2010 B2
7791912 Walde Sep 2010 B2
7795817 Nitschke Sep 2010 B2
7808184 Chistyakov Oct 2010 B2
7821767 Fujii Oct 2010 B2
7825719 Roberg et al. Nov 2010 B2
7858533 Liu et al. Dec 2010 B2
7888240 Hamamjy et al. Feb 2011 B2
7898238 Wiedemuth et al. Mar 2011 B2
7929261 Wiedemuth Apr 2011 B2
RE42362 Schuler May 2011 E
7977256 Liu et al. Jul 2011 B2
7988816 Koshiishi et al. Aug 2011 B2
7995313 Nitschke Aug 2011 B2
8044595 Nitschke Oct 2011 B2
8052798 Moriya et al. Nov 2011 B2
8055203 Choueiry et al. Nov 2011 B2
8083961 Chen et al. Dec 2011 B2
8110992 Nitschke Feb 2012 B2
8128831 Sato et al. Mar 2012 B2
8129653 Kirchmeier et al. Mar 2012 B2
8133347 Gluck et al. Mar 2012 B2
8133359 Nauman et al. Mar 2012 B2
8140292 Wendt Mar 2012 B2
8217299 Ilic et al. Jul 2012 B2
8221582 Patrick et al. Jul 2012 B2
8236109 Moriya et al. Aug 2012 B2
8284580 Wilson Oct 2012 B2
8313612 McMillin et al. Nov 2012 B2
8313664 Chen et al. Nov 2012 B2
8333114 Hayashi Dec 2012 B2
8361906 Lee et al. Jan 2013 B2
8382999 Agarwal et al. Feb 2013 B2
8383001 Mochiki et al. Feb 2013 B2
8384403 Zollner et al. Feb 2013 B2
8391025 Walde et al. Mar 2013 B2
8399366 Takaba Mar 2013 B1
8419959 Bettencourt et al. Apr 2013 B2
8422193 Tao et al. Apr 2013 B2
8441772 Yoshikawa et al. May 2013 B2
8456220 Thome et al. Jun 2013 B2
8460567 Chen Jun 2013 B2
8466622 Knaus Jun 2013 B2
8542076 Maier Sep 2013 B2
8551289 Nishimura et al. Oct 2013 B2
8568606 Ohse et al. Oct 2013 B2
8603293 Koshiishi et al. Dec 2013 B2
8632537 McNall, III et al. Jan 2014 B2
8641916 Yatsuda et al. Feb 2014 B2
8685267 Yatsuda et al. Apr 2014 B2
8704607 Yuzurihara et al. Apr 2014 B2
8716114 Ohmi et al. May 2014 B2
8716984 Mueller et al. May 2014 B2
8735291 Ranjan et al. May 2014 B2
8796933 Hermanns Aug 2014 B2
8809199 Nishizuka Aug 2014 B2
8821684 Ui et al. Sep 2014 B2
8828883 Rueger Sep 2014 B2
8845810 Hwang Sep 2014 B2
8852347 Lee et al. Oct 2014 B2
8884523 Winterhalter et al. Nov 2014 B2
8884525 Hoffman et al. Nov 2014 B2
8889534 Ventzek et al. Nov 2014 B1
8895942 Liu et al. Nov 2014 B2
8907259 Kasai et al. Dec 2014 B2
8916056 Koo et al. Dec 2014 B2
8926850 Singh et al. Jan 2015 B2
8963377 Ziemba et al. Feb 2015 B2
8979842 McNall, III et al. Mar 2015 B2
8993943 Pohl et al. Mar 2015 B2
9011636 Ashida Apr 2015 B2
9039871 Nauman et al. May 2015 B2
9042121 Walde et al. May 2015 B2
9053908 Sriraman et al. Jun 2015 B2
9059178 Matsumoto et al. Jun 2015 B2
9087798 Ohtake et al. Jul 2015 B2
9101038 Singh et al. Aug 2015 B2
9105447 Brouk et al. Aug 2015 B2
9105452 Jeon et al. Aug 2015 B2
9123762 Lin et al. Sep 2015 B2
9129776 Finley et al. Sep 2015 B2
9139910 Lee et al. Sep 2015 B2
9147555 Richter Sep 2015 B2
9150960 Nauman et al. Oct 2015 B2
9159575 Ranjan et al. Oct 2015 B2
9208992 Brouk et al. Dec 2015 B2
9209032 Zhao et al. Dec 2015 B2
9209034 Kitamura et al. Dec 2015 B2
9210790 Hoffman et al. Dec 2015 B2
9224579 Finley et al. Dec 2015 B2
9226380 Finley Dec 2015 B2
9228878 Haw et al. Jan 2016 B2
9254168 Palanker Feb 2016 B2
9263241 Larson et al. Feb 2016 B2
9287086 Brouk et al. Mar 2016 B2
9287092 Brouk et al. Mar 2016 B2
9287098 Finley Mar 2016 B2
9306533 Mavretic Apr 2016 B1
9309594 Hoffman et al. Apr 2016 B2
9313872 Yamazawa et al. Apr 2016 B2
9355822 Yamada et al. May 2016 B2
9362089 Brouk et al. Jun 2016 B2
9373521 Mochiki et al. Jun 2016 B2
9384992 Narishige et al. Jul 2016 B2
9396960 Ogawa et al. Jul 2016 B2
9404176 Parkhe et al. Aug 2016 B2
9412613 Manna et al. Aug 2016 B2
9435029 Brouk et al. Sep 2016 B2
9483066 Finley Nov 2016 B2
9490107 Kim et al. Nov 2016 B2
9495563 Ziemba et al. Nov 2016 B2
9496150 Mochiki et al. Nov 2016 B2
9503006 Pohl et al. Nov 2016 B2
9520269 Finley et al. Dec 2016 B2
9530667 Rastogi et al. Dec 2016 B2
9536713 Van Zyl et al. Jan 2017 B2
9544987 Mueller et al. Jan 2017 B2
9558917 Finley et al. Jan 2017 B2
9564287 Ohse et al. Feb 2017 B2
9570313 Ranjan et al. Feb 2017 B2
9576810 Deshmukh et al. Feb 2017 B2
9576816 Rastogi et al. Feb 2017 B2
9577516 Van Zyl Feb 2017 B1
9583357 Long et al. Feb 2017 B1
9593421 Baek et al. Mar 2017 B2
9601283 Ziemba et al. Mar 2017 B2
9601319 Bravo et al. Mar 2017 B1
9607843 Rastogi et al. Mar 2017 B2
9620340 Finley Apr 2017 B2
9620376 Kamp et al. Apr 2017 B2
9620987 Alexander et al. Apr 2017 B2
9637814 Bugyi et al. May 2017 B2
9644221 Kanamori et al. May 2017 B2
9651957 Finley May 2017 B1
9655221 Ziemba et al. May 2017 B2
9663858 Nagami et al. May 2017 B2
9666446 Tominaga et al. May 2017 B2
9666447 Rastogi et al. May 2017 B2
9673027 Yamamoto et al. Jun 2017 B2
9673059 Raley et al. Jun 2017 B2
9685297 Carter et al. Jun 2017 B2
9706630 Miller et al. Jul 2017 B2
9711331 Mueller et al. Jul 2017 B2
9711335 Christie Jul 2017 B2
9728429 Ricci et al. Aug 2017 B2
9734992 Yamada et al. Aug 2017 B2
9741544 Van Zyl Aug 2017 B2
9754768 Yamada et al. Sep 2017 B2
9761419 Nagami Sep 2017 B2
9761459 Long et al. Sep 2017 B2
9767988 Brouk et al. Sep 2017 B2
9786503 Raley et al. Oct 2017 B2
9799494 Chen et al. Oct 2017 B2
9805916 Konno et al. Oct 2017 B2
9805965 Sadjadi et al. Oct 2017 B2
9812305 Pelleymounter Nov 2017 B2
9831064 Konno et al. Nov 2017 B2
9837285 Tomura et al. Dec 2017 B2
9840770 Klimczak et al. Dec 2017 B2
9852889 Kellogg et al. Dec 2017 B1
9852890 Mueller et al. Dec 2017 B2
9865471 Shimoda et al. Jan 2018 B2
9865893 Esswein et al. Jan 2018 B2
9870898 Urakawa et al. Jan 2018 B2
9872373 Shimizu et al. Jan 2018 B1
9881820 Wong et al. Jan 2018 B2
9922802 Hirano et al. Mar 2018 B2
9922806 Tomura et al. Mar 2018 B2
9929004 Ziemba et al. Mar 2018 B2
9941097 Yamazawa et al. Apr 2018 B2
9941098 Nagami Apr 2018 B2
9960763 Miller et al. May 2018 B2
9972503 Tomura et al. May 2018 B2
9997374 Takeda et al. Jun 2018 B2
10020800 Prager et al. Jul 2018 B2
10026593 Alt et al. Jul 2018 B2
10027314 Prager et al. Jul 2018 B2
10041174 Matsumoto et al. Aug 2018 B2
10042407 Grede et al. Aug 2018 B2
10063062 Voronin et al. Aug 2018 B2
10074518 Van Zyl Sep 2018 B2
10085796 Podany Oct 2018 B2
10090191 Tomura et al. Oct 2018 B2
10102321 Povolny et al. Oct 2018 B2
10109461 Yamada et al. Oct 2018 B2
10115567 Hirano et al. Oct 2018 B2
10115568 Kellogg et al. Oct 2018 B2
10134569 Albarede et al. Nov 2018 B1
10176970 Nitschke Jan 2019 B2
10176971 Nagami Jan 2019 B2
10181392 Leypold et al. Jan 2019 B2
10199246 Koizumi et al. Feb 2019 B2
10217618 Larson et al. Feb 2019 B2
10217933 Nishimura et al. Feb 2019 B2
10224822 Miller et al. Mar 2019 B2
10229819 Hirano et al. Mar 2019 B2
10249498 Ventzek et al. Apr 2019 B2
10268846 Miller et al. Apr 2019 B2
10269540 Carter et al. Apr 2019 B1
10276420 Ito et al. Apr 2019 B2
10282567 Miller et al. May 2019 B2
10283321 Yang et al. May 2019 B2
10290506 Ranjan et al. May 2019 B2
10297431 Zelechowski et al. May 2019 B2
10304661 Ziemba et al. May 2019 B2
10304668 Coppa et al. May 2019 B2
10312048 Dorf et al. Jun 2019 B2
10312056 Collins et al. Jun 2019 B2
10320373 Prager et al. Jun 2019 B2
10332730 Christie Jun 2019 B2
10340123 Ohtake Jul 2019 B2
10348186 Schuler et al. Jul 2019 B2
10354839 Alt et al. Jul 2019 B2
10373755 Prager et al. Aug 2019 B2
10373804 Koh et al. Aug 2019 B2
10373811 Christie et al. Aug 2019 B2
10381237 Takeda et al. Aug 2019 B2
10382022 Prager et al. Aug 2019 B2
10387166 Preston et al. Aug 2019 B2
10388544 Ui et al. Aug 2019 B2
10389345 Ziemba et al. Aug 2019 B2
10410877 Takashima et al. Sep 2019 B2
10431437 Gapiski et al. Oct 2019 B2
10438797 Cottle et al. Oct 2019 B2
10446453 Coppa et al. Oct 2019 B2
10447174 Porter, Jr. et al. Oct 2019 B1
10448494 Dorf et al. Oct 2019 B1
10448495 Dorf et al. Oct 2019 B1
10453656 Carducci et al. Oct 2019 B2
10460910 Ziemba et al. Oct 2019 B2
10460911 Ziemba et al. Oct 2019 B2
10460916 Boyd, Jr. et al. Oct 2019 B2
10483089 Ziemba et al. Nov 2019 B2
10483100 Ishizaka et al. Nov 2019 B2
10510575 Kraus et al. Dec 2019 B2
10522343 Tapily et al. Dec 2019 B2
10535502 Carducci et al. Jan 2020 B2
10546728 Carducci et al. Jan 2020 B2
10553407 Nagami et al. Feb 2020 B2
10555412 Dorf et al. Feb 2020 B2
10580620 Carducci et al. Mar 2020 B2
10593519 Yamada et al. Mar 2020 B2
10607813 Fairbairn et al. Mar 2020 B2
10607814 Ziemba et al. Mar 2020 B2
10658189 Hatazaki et al. May 2020 B2
10659019 Slobodov et al. May 2020 B2
10665434 Matsumoto et al. May 2020 B2
10666198 Prager et al. May 2020 B2
10672589 Koshimizu et al. Jun 2020 B2
10672596 Brcka Jun 2020 B2
10672616 Kubota Jun 2020 B2
10685807 Dorf et al. Jun 2020 B2
10707053 Urakawa et al. Jul 2020 B2
10707054 Kubota Jul 2020 B1
10707055 Shaw et al. Jul 2020 B2
10707086 Yang et al. Jul 2020 B2
10707090 Takayama et al. Jul 2020 B2
10707864 Miller et al. Jul 2020 B2
10714372 Chua et al. Jul 2020 B2
10720305 Van Zyl Jul 2020 B2
10734906 Miller et al. Aug 2020 B2
10748746 Kaneko et al. Aug 2020 B2
10755894 Hirano et al. Aug 2020 B2
10763150 Lindley et al. Sep 2020 B2
10773282 Coppa et al. Sep 2020 B2
10774423 Janakiraman et al. Sep 2020 B2
10777388 Ziemba et al. Sep 2020 B2
10790816 Ziemba et al. Sep 2020 B2
10791617 Dorf et al. Sep 2020 B2
10796887 Prager et al. Oct 2020 B2
10804886 Miller et al. Oct 2020 B2
10811227 Van Zyl et al. Oct 2020 B2
10811228 Van Zyl et al. Oct 2020 B2
10811229 Van Zyl et al. Oct 2020 B2
10811230 Ziemba et al. Oct 2020 B2
10811296 Cho et al. Oct 2020 B2
10847346 Ziemba et al. Nov 2020 B2
10892140 Ziemba et al. Jan 2021 B2
10892141 Ziemba et al. Jan 2021 B2
10896807 Fairbairn et al. Jan 2021 B2
10896809 Ziemba et al. Jan 2021 B2
10903047 Ziemba et al. Jan 2021 B2
10904996 Koh et al. Jan 2021 B2
10916408 Dorf et al. Feb 2021 B2
10923320 Koh et al. Feb 2021 B2
10923321 Dorf et al. Feb 2021 B2
10923367 Lubomirsky et al. Feb 2021 B2
10923379 Liu et al. Feb 2021 B2
10971342 Engelstaedter et al. Apr 2021 B2
10978274 Kubota Apr 2021 B2
10978955 Ziemba et al. Apr 2021 B2
10985740 Prager et al. Apr 2021 B2
10991553 Ziemba et al. Apr 2021 B2
10991554 Zhao et al. Apr 2021 B2
10998169 Ventzek et al. May 2021 B2
11004660 Prager et al. May 2021 B2
11011349 Brouk et al. May 2021 B2
11075058 Ziemba et al. Jul 2021 B2
11095280 Ziemba et al. Aug 2021 B2
11101108 Slobodov et al. Aug 2021 B2
11108384 Prager et al. Aug 2021 B2
11476090 Ramaswamy et al. Oct 2022 B1
20010003298 Shamouilian et al. Jun 2001 A1
20010009139 Shan et al. Jul 2001 A1
20010033755 Ino et al. Oct 2001 A1
20020069971 Kaji et al. Jun 2002 A1
20020078891 Chu et al. Jun 2002 A1
20030026060 Hiramatsu et al. Feb 2003 A1
20030029859 Knoot et al. Feb 2003 A1
20030049558 Aoki et al. Mar 2003 A1
20030052085 Parsons Mar 2003 A1
20030079983 Long et al. May 2003 A1
20030091355 Jeschonek et al. May 2003 A1
20030137791 Arnet et al. Jul 2003 A1
20030151372 Tsuchiya et al. Aug 2003 A1
20030165044 Yamamoto Sep 2003 A1
20030201069 Johnson Oct 2003 A1
20040021094 Johnson et al. Feb 2004 A1
20040040665 Mizuno et al. Mar 2004 A1
20040040931 Koshiishi et al. Mar 2004 A1
20040066601 Larsen Apr 2004 A1
20040112536 Quon Jun 2004 A1
20040223284 Iwami et al. Nov 2004 A1
20050022933 Howard Feb 2005 A1
20050024809 Kuchimachi Feb 2005 A1
20050039852 Roche et al. Feb 2005 A1
20050092596 Kouznetsov May 2005 A1
20050098118 Amann et al. May 2005 A1
20050151544 Mahoney et al. Jul 2005 A1
20050152159 Isurin et al. Jul 2005 A1
20050286916 Nakazato et al. Dec 2005 A1
20060075969 Fischer Apr 2006 A1
20060130767 Herchen Jun 2006 A1
20060139843 Kim Jun 2006 A1
20060158823 Mizuno et al. Jul 2006 A1
20060171848 Roche et al. Aug 2006 A1
20060219178 Asakura Oct 2006 A1
20060278521 Stowell Dec 2006 A1
20070113787 Higashiura et al. May 2007 A1
20070114981 Vasquez et al. May 2007 A1
20070152678 Matoba Jul 2007 A1
20070196977 Wang et al. Aug 2007 A1
20070284344 Todorov et al. Dec 2007 A1
20070285869 Howald Dec 2007 A1
20070297118 Fujii Dec 2007 A1
20080012548 Gerhardt et al. Jan 2008 A1
20080037196 Yonekura et al. Feb 2008 A1
20080048498 Wiedemuth et al. Feb 2008 A1
20080106842 Ito et al. May 2008 A1
20080135401 Kadlec et al. Jun 2008 A1
20080160212 Koo et al. Jul 2008 A1
20080185537 Walther et al. Aug 2008 A1
20080210545 Kouznetsov Sep 2008 A1
20080236493 Sakao Oct 2008 A1
20080252225 Kurachi et al. Oct 2008 A1
20080272706 Kwon et al. Nov 2008 A1
20080289576 Lee et al. Nov 2008 A1
20090016549 French et al. Jan 2009 A1
20090059462 Mizuno et al. Mar 2009 A1
20090078678 Kojima et al. Mar 2009 A1
20090133839 Yamazawa et al. May 2009 A1
20090236214 Janakiraman et al. Sep 2009 A1
20090295295 Shannon et al. Dec 2009 A1
20100018648 Collins et al. Jan 2010 A1
20100025230 Ehiasarian et al. Feb 2010 A1
20100029038 Murakawa Feb 2010 A1
20100072172 Ui et al. Mar 2010 A1
20100101935 Chistyakov et al. Apr 2010 A1
20100118464 Matsuyama May 2010 A1
20100154994 Fischer et al. Jun 2010 A1
20100193491 Cho et al. Aug 2010 A1
20100271744 Ni et al. Oct 2010 A1
20100276273 Heckman et al. Nov 2010 A1
20100321047 Zollner et al. Dec 2010 A1
20100326957 Maeda et al. Dec 2010 A1
20110096461 Yoshikawa et al. Apr 2011 A1
20110100807 Matsubara et al. May 2011 A1
20110143537 Lee et al. Jun 2011 A1
20110157760 Willwerth et al. Jun 2011 A1
20110177669 Lee et al. Jul 2011 A1
20110177694 Chen et al. Jul 2011 A1
20110214811 Ashida Sep 2011 A1
20110234201 Tanaka Sep 2011 A1
20110238360 Tanaka Sep 2011 A1
20110259851 Brouk et al. Oct 2011 A1
20110281438 Lee et al. Nov 2011 A1
20110298376 Kanegae et al. Dec 2011 A1
20120000421 Miller et al. Jan 2012 A1
20120052599 Brouk et al. Mar 2012 A1
20120081350 Sano et al. Apr 2012 A1
20120088371 Ranjan et al. Apr 2012 A1
20120097908 Willwerth et al. Apr 2012 A1
20120171390 Nauman et al. Jul 2012 A1
20120319584 Brouk et al. Dec 2012 A1
20130026381 Huang et al. Jan 2013 A1
20130059448 Marakhtanov et al. Mar 2013 A1
20130087447 Bodke et al. Apr 2013 A1
20130175575 Ziemba et al. Jul 2013 A1
20130213935 Liao et al. Aug 2013 A1
20130214828 Valcore, Jr. et al. Aug 2013 A1
20130340938 Tappan et al. Dec 2013 A1
20130344702 Nishizuka Dec 2013 A1
20140057447 Yang et al. Feb 2014 A1
20140061156 Brouk et al. Mar 2014 A1
20140062495 Carter et al. Mar 2014 A1
20140077611 Young et al. Mar 2014 A1
20140109886 Singleton et al. Apr 2014 A1
20140117861 Finley et al. May 2014 A1
20140125315 Kirchmeier et al. May 2014 A1
20140154819 Gaff et al. Jun 2014 A1
20140177123 Thach et al. Jun 2014 A1
20140203821 Yamamoto Jul 2014 A1
20140238844 Chistyakov Aug 2014 A1
20140262755 Deshmukh et al. Sep 2014 A1
20140263182 Chen et al. Sep 2014 A1
20140273487 Deshmukh et al. Sep 2014 A1
20140305905 Yamada et al. Oct 2014 A1
20140356984 Ventzek et al. Dec 2014 A1
20140361690 Yamada et al. Dec 2014 A1
20150002018 Lill et al. Jan 2015 A1
20150043123 Cox Feb 2015 A1
20150076112 Sriraman et al. Mar 2015 A1
20150084509 Yuzurihara et al. Mar 2015 A1
20150111394 Hsu et al. Apr 2015 A1
20150116889 Yamasaki et al. Apr 2015 A1
20150130354 Leray et al. May 2015 A1
20150130525 Miller et al. May 2015 A1
20150170952 Subramani et al. Jun 2015 A1
20150181683 Singh et al. Jun 2015 A1
20150235809 Ito et al. Aug 2015 A1
20150256086 Miller et al. Sep 2015 A1
20150303914 Ziemba et al. Oct 2015 A1
20150315698 Chistyakov Nov 2015 A1
20150318846 Prager et al. Nov 2015 A1
20150325413 Kim et al. Nov 2015 A1
20150366004 Nangoy et al. Dec 2015 A1
20160004475 Beniyama et al. Jan 2016 A1
20160020072 Brouk et al. Jan 2016 A1
20160027678 Parkhe et al. Jan 2016 A1
20160056017 Kim et al. Feb 2016 A1
20160064189 Tandou et al. Mar 2016 A1
20160196958 Leray et al. Jul 2016 A1
20160241234 Mavretic Aug 2016 A1
20160284514 Hirano et al. Sep 2016 A1
20160314946 Pelleymounter Oct 2016 A1
20160322242 Nguyen et al. Nov 2016 A1
20160327029 Ziemba et al. Nov 2016 A1
20160351375 Valcore, Jr. et al. Dec 2016 A1
20160358755 Long et al. Dec 2016 A1
20170011887 Deshmukh et al. Jan 2017 A1
20170018411 Sriraman et al. Jan 2017 A1
20170022604 Christie et al. Jan 2017 A1
20170029937 Chistyakov et al. Feb 2017 A1
20170069462 Kanarik et al. Mar 2017 A1
20170076962 Engelhardt Mar 2017 A1
20170098527 Kawasaki et al. Apr 2017 A1
20170098549 Agarwal Apr 2017 A1
20170110335 Yang et al. Apr 2017 A1
20170110358 Sadjadi et al. Apr 2017 A1
20170113355 Genetti et al. Apr 2017 A1
20170115657 Trussell et al. Apr 2017 A1
20170117172 Genetti et al. Apr 2017 A1
20170154726 Prager et al. Jun 2017 A1
20170162417 Ye et al. Jun 2017 A1
20170163254 Ziemba et al. Jun 2017 A1
20170169996 Ui et al. Jun 2017 A1
20170170449 Alexander et al. Jun 2017 A1
20170178917 Kamp et al. Jun 2017 A1
20170221682 Nishimura et al. Aug 2017 A1
20170236688 Caron et al. Aug 2017 A1
20170236741 Angelov et al. Aug 2017 A1
20170236743 Severson et al. Aug 2017 A1
20170243731 Ziemba et al. Aug 2017 A1
20170250056 Boswell et al. Aug 2017 A1
20170263478 McChesney et al. Sep 2017 A1
20170278665 Carter et al. Sep 2017 A1
20170287791 Coppa et al. Oct 2017 A1
20170311431 Park Oct 2017 A1
20170316935 Tan et al. Nov 2017 A1
20170330734 Lee et al. Nov 2017 A1
20170330786 Genetti et al. Nov 2017 A1
20170334074 Genetti et al. Nov 2017 A1
20170358431 Dorf et al. Dec 2017 A1
20170366173 Miller et al. Dec 2017 A1
20170372912 Long et al. Dec 2017 A1
20180019100 Brouk et al. Jan 2018 A1
20180076032 Wang et al. Mar 2018 A1
20180102769 Prager et al. Apr 2018 A1
20180139834 Nagashima et al. May 2018 A1
20180166249 Dorf et al. Jun 2018 A1
20180189524 Miller et al. Jul 2018 A1
20180190501 Ueda Jul 2018 A1
20180204708 Tan et al. Jul 2018 A1
20180205369 Prager et al. Jul 2018 A1
20180218905 Park et al. Aug 2018 A1
20180226225 Koh et al. Aug 2018 A1
20180226896 Miller et al. Aug 2018 A1
20180253570 Miller et al. Sep 2018 A1
20180286636 Ziemba et al. Oct 2018 A1
20180294566 Wang et al. Oct 2018 A1
20180309423 Okunishi et al. Oct 2018 A1
20180331655 Prager et al. Nov 2018 A1
20180350649 Gomm Dec 2018 A1
20180366305 Nagami et al. Dec 2018 A1
20180374672 Hayashi et al. Dec 2018 A1
20190027344 Okunishi et al. Jan 2019 A1
20190080884 Ziemba et al. Mar 2019 A1
20190090338 Koh et al. Mar 2019 A1
20190096633 Pankratz et al. Mar 2019 A1
20190157041 Zyl et al. May 2019 A1
20190157042 Van Zyl et al. May 2019 A1
20190157044 Ziemba et al. May 2019 A1
20190172685 Van Zyl et al. Jun 2019 A1
20190172688 Ueda Jun 2019 A1
20190180982 Brouk et al. Jun 2019 A1
20190198333 Tokashiki Jun 2019 A1
20190259562 Dorf et al. Aug 2019 A1
20190267218 Wang et al. Aug 2019 A1
20190277804 Prager et al. Sep 2019 A1
20190295769 Prager et al. Sep 2019 A1
20190295819 Okunishi et al. Sep 2019 A1
20190318918 Saitoh et al. Oct 2019 A1
20190333741 Nagami et al. Oct 2019 A1
20190341232 Thokachichu et al. Nov 2019 A1
20190348258 Koh et al. Nov 2019 A1
20190348263 Okunishi Nov 2019 A1
20190363388 Esswein et al. Nov 2019 A1
20190385822 Marakhtanov et al. Dec 2019 A1
20190393791 Ziemba et al. Dec 2019 A1
20200016109 Feng et al. Jan 2020 A1
20200020510 Shoeb et al. Jan 2020 A1
20200024330 Chan-Hui et al. Jan 2020 A1
20200035457 Ziemba et al. Jan 2020 A1
20200035458 Ziemba et al. Jan 2020 A1
20200035459 Ziemba et al. Jan 2020 A1
20200036367 Slobodov et al. Jan 2020 A1
20200037468 Ziemba et al. Jan 2020 A1
20200051785 Miller et al. Feb 2020 A1
20200051786 Ziemba et al. Feb 2020 A1
20200058475 Engelstaedter et al. Feb 2020 A1
20200066497 Engelstaedter et al. Feb 2020 A1
20200066498 Engelstaedter et al. Feb 2020 A1
20200075293 Ventzek et al. Mar 2020 A1
20200090905 Brouk et al. Mar 2020 A1
20200106137 Murphy et al. Apr 2020 A1
20200126760 Ziemba et al. Apr 2020 A1
20200126837 Kuno et al. Apr 2020 A1
20200144030 Prager et al. May 2020 A1
20200161091 Ziemba et al. May 2020 A1
20200161098 Cui et al. May 2020 A1
20200161155 Rogers et al. May 2020 A1
20200162061 Prager et al. May 2020 A1
20200168436 Ziemba et al. May 2020 A1
20200168437 Ziemba et al. May 2020 A1
20200176221 Prager et al. Jun 2020 A1
20200219706 Koshimizu Jul 2020 A1
20200227230 Ziemba et al. Jul 2020 A1
20200227289 Song et al. Jul 2020 A1
20200234922 Dorf et al. Jul 2020 A1
20200234923 Dorf et al. Jul 2020 A1
20200243303 Mishra et al. Jul 2020 A1
20200251371 Kuno et al. Aug 2020 A1
20200266022 Dorf et al. Aug 2020 A1
20200266035 Nagaiwa Aug 2020 A1
20200294770 Kubota Sep 2020 A1
20200328739 Miller et al. Oct 2020 A1
20200352017 Dorf et al. Nov 2020 A1
20200357607 Ziemba et al. Nov 2020 A1
20200373114 Prager et al. Nov 2020 A1
20200389126 Prager et al. Dec 2020 A1
20200407840 Hayashi et al. Dec 2020 A1
20200411286 Koshimizu et al. Dec 2020 A1
20210005428 Shaw et al. Jan 2021 A1
20210013006 Nguyen et al. Jan 2021 A1
20210013011 Prager et al. Jan 2021 A1
20210013874 Miller et al. Jan 2021 A1
20210027990 Ziemba et al. Jan 2021 A1
20210029815 Bowman et al. Jan 2021 A1
20210043472 Koshimizu et al. Feb 2021 A1
20210051792 Dokan et al. Feb 2021 A1
20210066042 Ziemba et al. Mar 2021 A1
20210082669 Koshiishi et al. Mar 2021 A1
20210091759 Prager et al. Mar 2021 A1
20210125812 Ziemba et al. Apr 2021 A1
20210130955 Nagaike et al. May 2021 A1
20210140044 Nagaike et al. May 2021 A1
20210151295 Ziemba et al. May 2021 A1
20210152163 Miller et al. May 2021 A1
20210210313 Ziemba et al. Jul 2021 A1
20210210315 Ziemba et al. Jul 2021 A1
20210249227 Bowman et al. Aug 2021 A1
20210272775 Koshimizu Sep 2021 A1
20210288582 Ziemba et al. Sep 2021 A1
20210398785 Lin et al. Dec 2021 A1
20220037121 Dorf et al. Feb 2022 A1
20220238307 Evans Jul 2022 A1
20220392750 Yang et al. Dec 2022 A1
20220399183 Cui et al. Dec 2022 A1
20220399186 Cui et al. Dec 2022 A1
20220399189 Guo et al. Dec 2022 A1
20220406567 Yang et al. Dec 2022 A1
20220415614 Yang et al. Dec 2022 A1
20230071168 Ramaswamy et al. Mar 2023 A1
20230087307 Guo et al. Mar 2023 A1
20230170192 Guo et al. Jun 2023 A1
20230170194 Guo et al. Jun 2023 A1
Foreign Referenced Citations (141)
Number Date Country
101990353 Mar 2011 CN
102084024 Jun 2011 CN
101707186 Feb 2012 CN
105408993 Mar 2016 CN
106206234 Dec 2016 CN
104752134 Feb 2017 CN
665306 Aug 1995 EP
983394 Mar 2000 EP
1119033 Jul 2001 EP
1203441 May 2002 EP
1214459 Jun 2002 EP
1418670 May 2004 EP
1691481 Aug 2006 EP
1701376 Sep 2006 EP
1708239 Oct 2006 EP
1780777 May 2007 EP
1852959 Nov 2007 EP
2016610 Jan 2009 EP
2096679 Sep 2009 EP
2221614 Aug 2010 EP
2541584 Jan 2013 EP
2580368 Apr 2013 EP
2612544 Jul 2013 EP
2838112 Feb 2015 EP
2991103 Mar 2016 EP
3086359 Oct 2016 EP
3396700 Oct 2018 EP
3616234 Mar 2020 EP
H08236602 Sep 1996 JP
2748213 May 1998 JP
H11025894 Jan 1999 JP
2002-313899 Oct 2002 JP
2002299322 Oct 2002 JP
4418424 Feb 2010 JP
2011035266 Feb 2011 JP
5018244 Sep 2012 JP
2014112644 Jun 2014 JP
2016-225439 Dec 2016 JP
6741461 Aug 2020 JP
2021503700 Feb 2021 JP
100757347 Sep 2007 KR
10-2007-0098556 Oct 2007 KR
10-2009-0010608 Jan 2009 KR
20160042429 Apr 2016 KR
20200036947 Apr 2020 KR
498706 Aug 2002 TW
201717247 May 2017 TW
1998053116 Nov 1998 WO
2000017920 Mar 2000 WO
2000030147 May 2000 WO
2000063459 Oct 2000 WO
2001005020 Jan 2001 WO
2001012873 Feb 2001 WO
2001013402 Feb 2001 WO
2002052628 Jul 2002 WO
2002054835 Jul 2002 WO
2002059954 Aug 2002 WO
2003037497 May 2003 WO
2003052882 Jun 2003 WO
2003054911 Jul 2003 WO
2003077414 Sep 2003 WO
2004084394 Sep 2004 WO
2005124844 Dec 2005 WO
2007118042 Oct 2007 WO
2008016747 Feb 2008 WO
2008050619 May 2008 WO
2008061775 May 2008 WO
2008061784 May 2008 WO
2008062663 May 2008 WO
2009012804 Jan 2009 WO
2009069670 Jun 2009 WO
2009111473 Sep 2009 WO
2011073093 Jun 2011 WO
2011087984 Jul 2011 WO
2011156055 Dec 2011 WO
2012030500 Mar 2012 WO
2012109159 Aug 2012 WO
2012122064 Sep 2012 WO
2013000918 Jan 2013 WO
2013016619 Jan 2013 WO
2013084459 Jun 2013 WO
2013088677 Jun 2013 WO
2013099133 Jul 2013 WO
2013114882 Aug 2013 WO
2013118660 Aug 2013 WO
2013125523 Aug 2013 WO
2013187218 Dec 2013 WO
2014035889 Mar 2014 WO
2014035894 Mar 2014 WO
2014035897 Mar 2014 WO
2014036000 Mar 2014 WO
2014124857 Aug 2014 WO
2014197145 Dec 2014 WO
2015060185 Apr 2015 WO
2014124857 May 2015 WO
2015134398 Sep 2015 WO
2015198854 Dec 2015 WO
2016002547 Jan 2016 WO
2016059207 Apr 2016 WO
2016060058 Apr 2016 WO
2016060063 Apr 2016 WO
2015073921 May 2016 WO
2016104098 Jun 2016 WO
2016128384 Aug 2016 WO
2016131061 Aug 2016 WO
2016170989 Oct 2016 WO
2017172536 Oct 2017 WO
2017208807 Dec 2017 WO
2018048925 Mar 2018 WO
2018111751 Jun 2018 WO
2018170010 Sep 2018 WO
2018197702 Nov 2018 WO
2018217349 Nov 2018 WO
2019036587 Feb 2019 WO
2019040949 Feb 2019 WO
2019099102 May 2019 WO
2019099870 May 2019 WO
2019185423 Oct 2019 WO
2019225184 Nov 2019 WO
2019239872 Dec 2019 WO
2019244697 Dec 2019 WO
2019244698 Dec 2019 WO
2019244734 Dec 2019 WO
2019245729 Dec 2019 WO
2020004048 Jan 2020 WO
2020017328 Jan 2020 WO
2020022318 Jan 2020 WO
2020022319 Jan 2020 WO
2020026802 Feb 2020 WO
2020033931 Feb 2020 WO
2020036806 Feb 2020 WO
2020037331 Feb 2020 WO
2020046561 Mar 2020 WO
2020051064 Mar 2020 WO
2020112921 Jun 2020 WO
2020121819 Jun 2020 WO
2020145051 Jul 2020 WO
2021003319 Jan 2021 WO
2021062223 Apr 2021 WO
2021097459 May 2021 WO
2021134000 Jul 2021 WO
Non-Patent Literature Citations (44)
Entry
Wang, S.B., et al.—“Control of ion energy distribution at substrates during plasma processing,” Journal of Applied Physics, vol. 88, No. 2, Jul. 15, 2000, pp. 643-646.
Eagle Harbor Technologies presentation by Dr. Kenneth E. Miller—“The EHT Integrated Power Module (IPM): An IGBT-Based, High Current, Ultra-Fast, Modular, Programmable Power Supply Unit,” Jun. 2013, 21 pages.
Eagle Harbor Technologies webpage—“In Situ Testing of EHT Integrators on a Tokamak,” 2015, 1 page.
Eagle Harbor Technologies webpage—High Gain and Frequency Ultra-Stable Integrators for Long Pulse and/or High Current Applications, 2018, 1 page.
Eagle Harbor Technologies webpage—“EHT Integrator Demonstration at DIII-D,” 2015, 1 page.
Eagle Harbor Technologies webpage—“High Gain and Frequency Ultra-Stable Integrators for ICC and Long Pulse ITER Applications,” 2012, 1 page.
Eagle Harbor Technologies webpage—“Long-Pulse Integrator Testing with DIII-D Magnetic Diagnostics,” 2016, 1 page.
Sunstone Circuits—“Eagle Harbor Tech Case Study,” date unknown, 4 pages.
Prager, J.R., et al.—“A High Voltage Nanosecond Pulser with Variable Pulse Width and Pulse Repetition Frequency Control for Nonequilibrium Plasma Applications,” IEEE 41st International Conference on Plasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BEAMS), pp. 1-6, 2014.
Kamada, Keiichi, et al., Editors—“New Developments of Plasma Science with Pulsed Power Technology,” Research Report, NIFS-PROC-82, presented at National Institute for Fusion Science, Toki, Gifu, Japan, Mar. 5-6, 2009, 109 pages.
Semiconductor Components Industries, LLC (SCILLC)—“Switch-Mode Power Supply” Reference Manual, SMPSRM/D, Rev. 4, Apr. 2014, ON Semiconductor, 73 pages.
PCT International Search Report and Written Opinion dated Nov. 9, 2018, for International Application No. PCT/US2018/043032.
Taiwan Office Action for Application No. 107125613 dated Dec. 24, 2020, 16 pages.
PCT International Search Report and Written Opinion dated Nov. 7, 2018, for International Application No. PCT/US2018/042965.
International Search Report and Written Opinion for PCT/US2019/052067 dated Jan. 21, 2020.
Electrical 4 U webpage—“Clamping Circuit,” Aug. 29, 2018, 9 pages.
Kyung Chae Yang et al., A study on the etching characteristics of magnetic tunneling junction materials using DC pulse-biased inductively coupled plasmas, Japanese Journal of Applied Physics, vol. 54, 01AE01, Oct. 29, 2014, 6 pages.
PCT Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority for International Application No. PCT/US2019/048392; dated Dec. 16, 2019; 13 pages.
PCT International Search Report and Written Opinion dated Nov. 7, 2018, for International Application No. PCT/US2018/042961.
PCT International Search Report and Written Opinion dated Nov. 7, 2018, for International Application No. PCT/US2018/042956.
U.S. Appl. No. 62/433,204; entitled Creating Arbitrarily-Shaped lon Energy Distribution Function (IEDF) Using Shaped-Pulse (EV) Bias; by Leonid Dorf, et al.; filed Dec. 16, 2016; 22 total pages.
U.S. Appl. No. 15/424,405; entitled System for Tunable Workpiece Biasing in a Plasma Reactor; by Travis Koh, et al.; filed Feb. 3, 2017; 29 total pages.
U.S. Appl. No. 15/618,082; entitled Systems and Methods for Controlling a Voltage Waveform at a Substrate During Plasma Processing; by Leonid Dorf, et al.; filed Jun. 8, 2017; 35 total pages.
PCT Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority for International Application No. PCT/US2018/046171; dated Nov. 28, 2018; 10 total pages.
PCT Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority for International Application No. PCT/US2018/046182; dated Nov. 30, 2018; 10 total pages.
Eagle Harbor Technologies presentation by Dr. Kenneth E. Miller—“The EHT Long Pulse Integrator Program,” ITPA Diagnostic Meeting, General Atomics, Jun. 4-7, 2013, 18 pages.
Lin, Jianliang, et al.,—“Diamond like carbon films deposited by HiPIMS using oscillatory voltage pulses,” Surface & Coatings Technology 258, 2014, published by Elsevier B.V., pp. 1212-1222.
PCT/US2020/014453 Interanational Search Report and Written Opinion dated May 14, 2020 consists of 8 pages.
S.B. Wang et al. “lon Bombardment Energy and SiO 2/Si Fluorocarbon Plasma Etch Selectivity”, Journal of Vacuum Science & Technology A 19, 2425 (2001).
Korean Office Action for 10-2020-7007495 dated Jun. 14, 2021.
Zhen-hua Bi et al., A brief review of dual-frequency capacitively coupled discharges, Current Applied Physics, vol. 11, Issue 5, Supplement, 2011, pp. S2-S8.
Chang, Bingdong, “ Oblique angled plasma etching for 3D silicon structures with wiggling geometries” 31(8), [085301]. https://doi.org/10.1088/1361-6528/ab53fb. DTU Library. 2019.
Michael A. Lieberman, “A short course of the principles of plasma discharges and materials processing”, Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA 94720.
Dr. Steve Sirard, “Introduction to Plasma Etching”, Lam Research Corporation. 64 pages.
Zhuoxing Luo, B.S., M.S, “RF Plasma Etching With a DC Bias” A Dissertation in Physics. Dec. 1994.
Michael A. Lieberman, “Principles of Plasma Discharges and Material Processing”, A Wiley Interscience Publication. 1994.
Yiting Zhang et al. “Investigation of feature orientation and consequences of ion tilting during plasma etching with a three-dimensional feature profile simulator”, Nov. 22, 2016.
Richard Barnett et al. A New Plasma Source for Next Generation MEMS Deep Si Etching: Minimal Tilt, Improved Profile Uniformity and Higher Etch Rates, SPP Process Technology Systems. 2010.
The International Search Report and the Written Opinion for International Application No. PCT/US2021/040380; dated Oct. 27, 2021; 10 pages.
International Search Report and Written Opinion dated Feb. 4, 2022 for Application No. PCT/US2021/054806.
International Search Report and Written Opinion dated Feb. 4, 2022 for Application No. PCT/US2021/054814.
Chinese Office Action for 201880053380.1 dated Dec. 2, 2021.
Taiwan Office Action for 108132682 dated Mar. 24, 2022.
International Search Report/Written Opinion issued to PCT/US2022/053455 on May 9, 2023.
Related Publications (1)
Number Date Country
20240094273 A1 Mar 2024 US