Determining a position of inspection system output in design data space

Information

  • Patent Grant
  • 9134254
  • Patent Number
    9,134,254
  • Date Filed
    Thursday, March 14, 2013
    11 years ago
  • Date Issued
    Tuesday, September 15, 2015
    9 years ago
Abstract
Systems and methods for determining a position of output of an inspection system in design data space are provided. One method includes merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged. The method also includes storing information for the single feature without the design data for the features that are merged. The information includes a position of the single feature in design data space. The method further includes aligning output of an inspection system for the wafer to the information for the single feature such that positions of the output in the design data space can be determined based on the position of the single feature in the design data space.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention generally relates to systems and methods for determining a position of output of an inspection system in design data space.


2. Description of the Related Art


The following description and examples are not admitted to be prior art by virtue of their inclusion in this section.


Inspection processes are used at various steps during a semiconductor manufacturing process to detect defects on wafers to promote higher yield in the manufacturing process and thus higher profits. Inspection has always been an important part of fabricating semiconductor devices such as ICs. However, as the dimensions of semiconductor devices decrease, inspection becomes even more important to the successful manufacture of acceptable semiconductor devices because smaller defects can cause the devices to fail. For instance, as the dimensions of semiconductor devices decrease, detection of defects of decreasing size has become necessary since even relatively small defects may cause unwanted aberrations in the semiconductor devices.


Some currently available inspection systems are configured to use user-defined alignment marks on each die row to orient themselves to the wafer. In each swath, individual dies are compared with adjacent dies through constant feedback in order to ensure that each die looks identical. The locations in any given swath are remarkably accurate. That is, if one were to visit the same die relative location on multiple dies of the same swath, then one is likely to find the same feature.


However, an entire swath may be misplaced in relation to a global (design) coordinate system. Defect location accuracy for inspection can be improved drastically if the swath positioning errors relative to design can be computed and eliminated from each swath. There are currently available technologies that can be used to compare wafer images to the underlying design and estimate the swath positioning errors. The main disadvantage of such technologies is that they require a customer or the design owner to provide the device manufacturer and/or wafer inspector with the design files for the devices that are being manufactured. It is difficult and sometimes impossible for a customer or design owner to provide the device manufacturer and/or wafer inspector with design information due to the presence of sensitive intellectual property (IP)-related information in the design files.


Accordingly, it would be advantageous to develop systems and methods for determining a position of output of an inspection system in design data space that do not have one or more of the disadvantages described above.


SUMMARY OF THE INVENTION

The following description of various embodiments is not to be construed in any way as limiting the subject matter of the appended claims.


One embodiment relates to a method for determining a position of output of an inspection system in design data space. The method includes merging more than one feature in design data space for a wafer into a single feature that has a periphery that encompasses all of the features that are merged. The method also includes storing information for the single feature without the design data for the features that are merged. The information includes a position of the single feature in design data space. In addition, the method includes aligning output of an inspection system for the wafer to the information for the single feature and determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space. The method further includes determining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space. The merging step, the storing step, the aligning step, determining the position of the first portion of the output, and determining the positions of the other portions are performed by one or more computer systems.


Each of the steps of the method may be further performed as described herein. In addition, the method may include any other step(s) of any other method(s) described to herein. Furthermore, the method may be performed by any of the systems described herein.


Another embodiment relates to a method for determining a position of output of an inspection system in design data space. The method includes aligning output of an inspection system for a wafer to information for a single feature. More than one feature in design data for the wafer were merged into the single feature that has a periphery that encompasses all of the features that were merged. The information includes a position of the single feature in design data space. The method also includes determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space. In addition, the method includes determining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space. Aligning the output, determining the position of the first portion of the output, and determining the positions of the other portions are performed using a computer system.


Each of the steps of the method may be further performed as described herein. In addition, the method may include any other step(s) of any other method(s) described herein. Furthermore, the method may be performed by any of the systems described herein.


An additional embodiment relates to a system configured to determine a position of output of an inspection system in design data space. The system includes a computer subsystem configured for merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged. The computer subsystem is also configured for storing information for the single feature without the design data for the features that are merged. The information includes a position of the single feature in design data space. The system also includes an inspection subsystem configured for scanning the wafer to generate output for the wafer. The inspection subsystem is also configured for aligning the output, determining a position of a first portion of the output, and determining positions of other portions of the output as described above. The system may be further configured as described herein.





BRIEF DESCRIPTION OF THE DRAWINGS

Further advantages of the present invention will become apparent to those skilled in the art with the benefit of the following detailed description of the preferred embodiments and upon reference to the accompanying drawings in which:



FIG. 1 is a schematic diagram illustrating a step that may be included in some embodiments of the methods described herein;



FIG. 2 is a block diagram illustrating one embodiment of a non-transitory computer-readable medium storing program instructions for causing a computer system to perform a computer-implemented method described herein; and



FIG. 3 is a schematic diagram illustrating a side view of an embodiment of a system configured to determine a position of output of an inspection system in design data space.





While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and may herein be described in detail. The drawings may not be to scale. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the spirit and scope of the present invention as defined by the appended claims.


DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Turning now to the drawings, it is noted that the figures are not drawn to scale. In to particular, the scale of some of the elements of the figures is greatly exaggerated to emphasize characteristics of the elements. It is also noted that the figures are not drawn to the same scale. Elements shown in more than one figure that may be similarly configured have been indicated using the same reference numerals. Unless otherwise noted herein, any of the elements described and shown may include any suitable commercially available elements.


One embodiment relates to a method for determining a position of output of an inspection system in design data space. In one embodiment, the inspection system is configured as a bright field (BF) inspection system. The inspection system may be configured as described further herein. Since the embodiments described herein determine the position of inspection output, which in the case of image output may include pixels, in design data space, the embodiments may be generally referred to as pixel-to-design alignment (PDA) systems or methods.


The term “design data” as used herein generally refers to the physical design (layout) of an IC and data derived from the physical design through complex simulation or simple geometric and Boolean operations. The design data may be stored in a data structure such as a graphical data stream (GDS) file, any other standard machine-readable file, any other suitable file known in the art, and a design database. A GDSII file is one of a class of files used for the representation of design layout data. Other examples of such files include GL1 and OASIS files. The design data used in the embodiments described herein may be stored in any of this entire class of files irrespective of data structure configuration, storage format, or storage mechanism.


The method includes merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged. Therefore, merging the more than one feature into the single feature may create a derivative of the design for the wafer. In one embodiment, as shown in FIG. 1, the design data may include original design artifact 100 that includes a number of features 102. These features 102 may be merged into single feature 104, which is then the to derived design or the derivative of the design. In the derived design, any feature that is relatively close to any other feature may be merged to create a derivative of design. Features that are relatively close to one another may include any features in the design other than isolated features.


In one embodiment, the single feature includes a bounding polygon defining the periphery of the single feature, the single feature includes no additional features within its periphery, and the bounding polygon contains no additional polygons. For example, as shown in FIG. 1, the single feature may not include features 102 that were merged to create the single feature or any other features. In other words, single feature 104 is a polygon that has a periphery defining its shape. The periphery of the single feature is defined by generating a polygon that encompasses all of the features that were merged. The features that are merged are not, however, included in the single feature. In addition, as shown in FIG. 1, the bounding polygon that defines the single feature does not contain any additional polygons within its boundary. As further shown in FIG. 1, the single feature may be defined be a single polygon and may be different (e.g., different in shape, size, etc.) than each of the features that were merged to create the single feature.


In some embodiments, merging the more than one feature eliminates intellectual property (IP) in the design data from the information for the single feature. For example, creating a derivative of the design as described above can be performed to remove all IP sensitive information from the design file. In the example shown in FIG. 1, the particulars of the patterns contained in the original design artifact 100 and the placement of these patterns may be IP information. In the derived design, any feature that is relatively close to any other feature may be merged to create a derivative of the design that destroys the IP in an unrecoverable manner. For example, as described above, the merged features are not included in the design derivative. In addition, all critical structures in the design may be replaced in the merging step with bounding boxes or polygons around them. Therefore, other steps described herein that are performed with the information for the single feature can be performed without the need for IP sensitive design information. As such, any of those steps can be performed without compromising or exposing any IP sensitive design information.


In another embodiment, the features that are merged have at least one lateral dimension (e.g., a width) on the wafer that is less than 100 nm, and the inspection system is not capable of resolving features printed on the wafer having a lateral dimension (e.g., a width) that is less than 200 nm. Design rules are constantly shrinking. A 22 nm design rule design typically manifests (is printed) on wafers as features that are slightly bigger (40 nm or so) on the wafers. While the design rules are shrinking, the inspection wavelengths are not keeping pace. The wavelengths of light that are used for inspecting wafers are still around 200 nm or higher. The implication of the relationship between feature size and inspection wavelength is that BF inspection tools fail to resolve a lot of critical design details that are put on the wafer by the designer or design owner. For example, most BF inspection tools resolve features that are about 250 nm to about 300 nm or greater. Although wafer inspection systems fail to resolve many features formed on wafers, inspection system manufacturers such as KLA-Tencor, Milpitas, Calif. have found innovative ways to detect defects in these areas thereby providing continuing value to their customers.


A fundamental insight of the embodiments described herein is that since patterns that are substantially small (e.g., less than 200 nm) are not resolved, design data for such substantially small patterns is not needed to align swaths of output to the underlying design. In other words, intricate design details that may be IP sensitive design features may be below the resolution limit of the inspection system. Therefore, those features are essentially useless for alignment and can be eliminated as described herein. For example, in the merging step described above, the original design may be modified to remove IP sensitive information by merging any design artifact that is thinner than the optical resolution limit of the inspection system. In the example shown in FIG. 1, since the optical image of pattern 100 that would be produced by most wafer inspection systems would look like single feature 104, the IP-less version of the design is sufficient for aligning the output of the inspection system accurately to the design data. In this manner, in cases in which the design rule is 22 nm and the optical resolution limit of the inspection system is 300 nm, IP sensitive information can be effectively eliminated. In addition, the alignment that can be performed using bounding polygons that replace intricate design patterns in the merging step should have no appreciable difference in accuracy as the alignment that can be performed using the intricate design patterns.


In some embodiments, the features that are merged include dense features in the design data. For example, the merging step may include replacing all dense lines with their bounding polygons. In one such example, as described above, in the derived design, any feature that is relatively close to any other feature may be merged to create a derivative of design, and features that are relatively close to one another may include any features in the design other than isolated features. The terms “dense features” and “isolated features” are commonly used in the art to indicate different types of features typically included in design data for wafers.


In another embodiment, the features that are merged include features in a random logic area of the design data. For example, the inspection system resolution limits described above may make defect detection in random logic areas a bit more difficult than other areas on the wafer such as array regions. However, this lack of resolution in the random logic areas could be a boon for coordinate accuracy. For example, the random logic areas may contain features that can be merged as described herein to form single features that are relatively unique (e.g., have odd shapes) making them particularly useful as alignment marks when formed on wafers. Any of the features that are merged in the embodiments described herein may include device features as opposed to non-device features such as reticle alignment marks and features that will be printed in a non-device area of the wafer. The term “random logic area” is a known term commonly used in the art and is intended to have the customary meaning in the art.


In some embodiments, merging the more than one feature includes merging two or more sets of more than one feature in the design data into corresponding single features, and the method includes selecting the single feature whose information will be used in the aligning step described further herein from the corresponding single features. For example, different single features may be created during the merging step described above from different sets of features in the design data. The features that are merged into any one single feature may be mutually exclusive of the features that are merged into any other single feature. In this manner, the merging step may be performed more than once to create more than one single feature. Information for those different single features such as their bounding polygons and other non-IP sensitive alignment targets from the design data may be stored as described further herein in an “alignment file,” which may essentially be a design file containing no IP since the merging step may be performed to remove any sensitive IP from the design. Selecting the single feature that will be used for alignment may include using an inspection system to find one or more good alignment spots from among the different single features and other non-IP sensitive alignment targets by searching this design file. Single features may qualify as “good alignment spots” if they are different enough from surrounding and nearby features to be uniquely identified in inspection system output and can be resolved with relatively good quality by the inspection system. The surrounding and nearby features from which a single feature must be different enough to qualify as a “good alignment spot” may vary depending on characteristics of the inspection system such as field of view and wafer/stage alignment capability. Wafer image(s) may then be extracted for the good alignment spot(s) and stored as described further herein such that they can be used in the aligning step described further herein.


In one embodiment, merging the more than one feature includes merging two or more sets of more than one feature in the design data into corresponding single features, the storing step described further herein includes storing information for the corresponding single features without the design data for the features that are merged, and the method includes selecting the single feature whose information will be used in the aligning step by acquiring output of the inspection system at locations of the corresponding single features on the wafer and selecting one of the corresponding single features that will provide more accurate alignment than others of the corresponding single features. For example, as described above, the merging step may include replacing to dense lines with their bounding polygons or otherwise creating more than one of the single features, and information for each of the more than one single feature can be stored in the storing step described further herein without the design data for the features merged to create the single features. The inspection system may then be used to generate output such as wafer image(s) for the wafer, and the method may include finding good alignment spots in the wafer image(s), which may be performed in any suitable manner. Alignment spots that are “good” may be defined as described above. Image(s) acquired by the inspection system at the locations of the good alignment spot(s) may then be stored with the information for the single feature(s) in the storing step described further herein.


In some embodiments, the method includes simulating output that will be produced for the single feature by the inspection system based on the information for the single feature. For example, design clips of the location(s) of the good alignment spot(s) identified above may be extracted from the modified design (i.e., the information for the corresponding single features) and rendered to look like the wafer image that was produced by the inspection system or that will be produced by the inspection system. The rendered image(s) may then be sent back to the inspection system and used during alignment, which may be performed as described further herein, to improve the coordinate accuracy of the inspection system.


The method also includes storing information for the single feature without the design data for the features that are merged. The information includes a position of the single feature in design data space. The information for the position of the single feature in the design data space may, therefore, be design data coordinates for the single feature.


The information for the single feature may also include a modified version of the design that includes any information for any single features that were created. This modified version of the design will then not include any sensitive IP information and can be stored in a computer-readable storage medium such as those described further herein. As such, the modified design may be stored without sensitive IP.


The information for the single feature may be stored in a computer-readable storage medium different than the one from which the design data was acquired for use in the embodiments described herein. For example, in one embodiment, storing the information includes storing the information in a storage medium in which the design data is not stored. Therefore, when a system, method, or user accesses and/or uses the stored information from the storage medium, the system, method, or user may not be able to access and/or use the design data containing potentially sensitive IP since it is not stored in that storage medium. In addition, the information for the single feature(s) and the design data may be stored in different data structures (e.g., files) in the same storage medium. In this manner, the modified design and the original design may be stored in a number of different manners as long as the modified design can be accessed and used without needing to access and/or use the original design.


In some embodiments, the method includes identifying isolated features in the design data, and the information that is stored does not includes the design data for the isolated features. For example, the method may include eliminating all isolated lines or other isolated features in the design data, which may be performed prior to the merging step described above, during the merging step, or after the merging step. For example, prior to the merging step, the design data may be scanned for any isolated features. Those features may be removed from the design data, and then any remaining dense features may be merged as described above.


In another embodiment, storing the information includes storing the simulated output described above with the information for the single feature. For example, the simulated output that will be produced by the inspection system for the single feature may be stored with the design data coordinates for the single feature such that the information can be used together for the aligning and other steps described herein.


The method also includes aligning output of an inspection system for the wafer to the information for the single feature. Therefore, the single feature may be used as an to alignment mark for inspection. In addition, the stored information for the single feature may be referred to as an “alignment layer,” which may be used during inspection or for inspection output alignment as described further herein. Aligning the output of the inspection system to the information for the single feature may be performed in a number of different ways. For example, the simulated output described above and the inspection system output can be aligned by pattern matching, image correlation, or any other suitable method and/or algorithm known in the art.


In one embodiment, the output that is aligned includes output in each of multiple swaths of output acquired by the inspection system for the wafer, and determining the position of the first portion as described further herein includes determining positions of each of first portions of the output in each of the multiple swaths aligned to the single feature in the design data space based on the position of the single feature in the design data space. Therefore, the embodiments described herein may be used for substantially high coordinate accuracy using swath alignment marks (the “single features” described herein) from design. As such, the embodiments described herein provide a way in which swaths can be aligned without critical design that is IP sensitive.


Each of the swaths may then be separately aligned to the design data space. For example, the information for the single feature may be aligned to the output in a first swath, then the output in a second swath, etc. Therefore, the same single feature may be used for alignment of each or more than one swath of inspection output. However, if different swaths of output are generated for different, mutually exclusive portions of the dies printed on the wafer, then all of the swaths may not contain output that can be aligned to the same single feature (e.g., if they do not all contain the same configuration of features that were merged into the one single feature). Therefore, the methods described herein may be performed to create more than one single feature, some of which are used for some swaths of output and others of which are used for other swaths of the output. The term “swath” as used herein is intended to have the meaning commonly assigned to that term in the art of wafer inspection. More than one feature may also be used to align a single swath since we may not get the best answer from a single site. Averaging many sites for a single swath reduces the chance of error.


Unlike the embodiments described herein, another way that swaths can be aligned without using an IP sensitive design is to use relatively large reticle marks on the wafer that are available for scanners and optical metrology tools. These marks are usually substantially large and do not contain any IP information. A few of these marks will be available along streets of the wafers. It is possible that the marks will be printed at a few locations on every swath. However, there is no guarantee that this will be the case. Therefore, the embodiments described herein that can guarantee the ability to align every swath are needed.


In some embodiments, aligning the output includes aligning the output of the inspection system for the wafer to the simulated output described herein for the single feature. For example, since the simulated output is generated to simulate the output that will be produced for the single feature by the inspection system, the simulated output may provide better alignment to the actual output than simply the periphery of the polygon defining the single feature. Such aligning may be performed as described further herein.


The method further includes determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space. Therefore, the embodiments generate a derivative of the design that removes all IP sensitive information from the design file and use it to align the design to inspection images. For example, once the single feature has been aligned to the output, the portion of the output that aligned to the single feature may be assigned the same design data coordinates as the single feature.


The method also includes determining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space. For example, once the design data coordinates for at least a portion of a swath are determined as described above, those coordinates as well as the wafer space positions of the output relative to the aligned output may be used to propagate the design data space coordinates across the rest or at least another portion of the output in the swath. In this manner, the wafer output corresponding to the single feature may be aligned to the design and then other output can be aligned to the design data space based on its wafer space position relative to the aligned output.


The embodiments described herein have substantially high coordinate accuracy, which is substantially important for defect inspection tools, both in terms of the ability to accurately know the position of detected defects as well as to place targeted micro care areas that can eliminate nuisance detection from noisy regions adjoining the care areas. In addition, the embodiments described herein provide a way to improve coordinate accuracy without the need for IP sensitive design information. For example, the embodiments are able to substantially accurately place the inspection output in the design data space without, as described further above, compromising or exposing any IP sensitive design information. Therefore, the embodiments described herein allow device manufacturers and/or wafer inspectors to address a customer's IP concerns and at the same time be able to achieve the same or better coordinate accuracy than other currently available alignment techniques.


The embodiments described herein may or may not also include detecting defects on the wafer based on the output of the inspection system. Therefore, the output of the inspection system may be used for wafer inspection, and the wafer inspection may be performed before, during, or after the positions of the first and other portions of the output are determined in design data space. For example, the positions of the output in design data space may be determined and then defect detection may be performed. Alternatively, the defects may be detected on the wafer and then the positions of the output in the design data space may be determined for the first portions corresponding to the single feature alignment marks and then other portions corresponding to the defect locations. In this manner, determining the positions of the other portions of the output in the design data space may be performed for all of the output acquired by the inspection system for the wafer (e.g., entire swaths of output regardless of which individual output to in the entire swaths correspond to defects) or only for the output acquired by the inspection system that corresponds to the defects.


In another embodiment, the design data is not used by the inspection system during inspection of the wafer. The inspection that is performed using the output that has been aligned to design as described herein may include any inspection known in the art that can be performed in any manner. For example, the inspection may be context based inspection (CBI) or target based inspection (TBI), which have proven the value of coordinate accuracy beyond doubt. These inspections provide dramatic sensitivity improvements by improving coordinate accuracy and thereby care area placement accuracy. The embodiments described herein provide a general purpose ability to run all inspections with substantially high coordinate accuracy even when design is not available or cannot be used during the inspection due to IP concerns. Examples of CBI are described in U.S. Pat. No. 7,676,077 issued on Mar. 9, 2010 to Kulkarni et al., and examples of TBI are described in U.S. patent application Ser. No. 13/652,377 filed on Oct. 15, 2012 by Kenong Wu et al. This patent and this patent application are incorporated by reference as if fully set forth herein and the embodiments described herein may include any steps described therein and may be further configured as described therein. The embodiments described herein may therefore be configured for CBI or TBI without design.


One or more steps of the method may be performed by a computer system. For example, the merging step, the storing step, the aligning step, determining the position of the first portion, and determining the positions of the other portions are performed by one or more computer systems, which may be further configured as described herein. In some embodiments, the merging step and the storing step are performed with a first of the one or more computer systems, and the aligning step, determining the position of the first portion, and determining the positions of the other portions are performed with a second of the one or more computer systems. The first and second computer systems may be configured as described further herein.


Another embodiment relates to a method for determining a position of output of an inspection system in design data space. The method includes aligning output of an inspection system for a wafer to information for a single feature. More than one feature in design data for the wafer were merged into the single feature that has a periphery that encompasses all of the features that were merged. The information includes a position of the single feature in design data space. Therefore, the single feature and the information for the single feature may be created and stored by another method and/or system and used in this method.


The method also includes determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space. In addition, the method includes determining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space. All of these steps may be further performed as described herein.


Aligning the output, determining the position of the first portion of the output, and determining the positions of the other portions are performed using a computer system, which may be configured as described herein. In one embodiment, the computer system is part of an inspection system, and the features were merged by a computer system of an electronic design automation (EDA) tool. These computer systems, the inspection system, and the EDA tool may be configured as described further herein.


Each of the embodiments of the methods described above may include any other step(s) of any other method(s) described herein. Furthermore, each of the embodiments of the methods described above may be performed by any of the systems described herein.


All of the methods described herein may include storing results of one or more steps of the method embodiments in a computer-readable storage medium. The results may include any of the results described herein and may be stored in any manner known in the art. The storage medium may include any storage medium described herein or any other suitable storage medium known in the art. After the results have been stored, the results can be accessed in the storage medium and used by any of the method or system embodiments described herein, formatted for display to a user, used by another software module, method, or system, etc.


Another embodiment relates to a non-transitory computer-readable medium storing program instructions for causing a computer system to perform a computer-implemented method for determining a position of output of an inspection system in design data space. One such embodiment is shown in FIG. 2. For example, as shown in FIG. 2, non-transitory computer-readable medium 200 stores program instructions 202 for causing computer system 204 to perform a computer-implemented method for determining a position of output of an inspection system in design data space. The computer-implemented method may include any step(s) of any method(s) described herein.


Program instructions 202 implementing methods such as those described herein may be stored on non-transitory computer-readable medium 200. The computer-readable medium may be a storage medium such as a magnetic or optical disk, or a magnetic tape or any other suitable non-transitory computer-readable medium known in the art.


The program instructions may be implemented in any of various ways, including procedure-based techniques, component-based techniques, andor object-oriented techniques, among others. For example, the program instructions may be implemented using Matlab, Visual Basic, ActiveX controls, C, C++ objects, C#, JavaBeans, Microsoft Foundation Classes (“MFC”), or other technologies or methodologies, as desired.


Computer system 204 may take various forms, including a personal computer system, mainframe computer system, workstation, system computer, image computer, programmable image computer, parallel processor, or any other device known in the art. In general, the term “computer system” may be broadly defined to encompass any device having one or more processors, which executes instructions from a memory medium.


An additional embodiment relates to a system configured to determine a position of output of an inspection system in design data space. The system includes a computer subsystem configured for merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged. The computer subsystem is also configured for storing information for the single feature without the design data for the features that are merged. The information includes a position of the single feature in design data space. The computer subsystem may be configured to perform these steps according to any of the embodiments described herein. This computer subsystem may also be configured to perform any other step(s) of any method(s) described herein.


In one embodiment, the computer subsystem is part of an EDA tool, and the inspection subsystem described further herein is not part of the EDA tool. For example, as shown in FIG. 3, the computer subsystem described above may be computer subsystem 300 included in EDA tool 302. The EDA tool and the computer subsystem included in such a tool may include any commercially available EDA tool that has been modified to perform the steps described herein. Therefore, the computer subsystem that is configured to perform the merging and storing steps described herein may be separate from an inspection subsystem of an inspection tool that is used to inspect the wafer. In other words, the design data containing critical IP information may be processed by one system or tool to create the alignment layer or information that will be used by another, different system or tool to perform alignment of inspection data or output. The computer subsystem that is used to create the alignment information also may not be part of an EDA tool and may be included in another system or tool or simply be configured as a stand alone computer system. Furthermore, although the alignment information may be generated by one tool and used by another tool, the tool or computer subsystem that generates the alignment information may be configured to provide that information to the to other tool by storing or transferring the alignment information to a shared computer-readable storage medium such as a fab database or by transmitting the alignment information directly to the tool that will use it, which may be performed as described further herein.


The system also includes an inspection subsystem configured for scanning the wafer to generate output for the wafer. One embodiment of such an inspection subsystem is shown in FIG. 3 as inspection subsystem 304. The inspection subsystem is configured to generate the output for a wafer by scanning the wafer with light and detecting light from the wafer during the scanning. For example, as shown in FIG. 3, the inspection subsystem includes light source 306, which may include any suitable light source known in the art.


Light from the light source may be directed to beam splitter 308, which may be configured to direct the light from the light source to wafer 310. The light source may be coupled to any other suitable elements (not shown) such as one or more condensing lenses, collimating lenses, relay lenses, objective lenses, apertures, spectral filters, polarizing components and the like. As shown in FIG. 3, the light may be directed to the wafer at a normal angle of incidence. However, the light may be directed to the wafer at any suitable angle of incidence including near normal and oblique incidence. In addition, the light or multiple light beams may be directed to the wafer at more than one angle of incidence sequentially or simultaneously. The inspection subsystem may be configured to scan the light over the wafer in any suitable manner.


Light from wafer 310 may be collected and detected by one or more channels of the inspection subsystem during scanning. For example, light reflected from wafer 310 at angles relatively close to normal (i.e., specularly reflected light when the incidence is normal) may pass through beam splitter 308 to lens 312. Lens 312 may include a refractive optical element as shown in FIG. 3. In addition, lens 312 may include one or more refractive optical elements and/or one or more reflective optical elements. Light to collected by lens 312 may be focused to detector 314. Detector 314 may include any suitable detector known in the art such as a charge coupled device (CCD) or another type of imaging detector. Detector 314 is configured to generate output that is responsive to the reflected light collected by lens 312. Therefore, lens 312 and detector 314 form one channel of the inspection subsystem. This channel of the inspection subsystem may include any other suitable optical components (not shown) known in the art.


Since the inspection subsystem shown in FIG. 3 is configured to detect light specularly reflected from the wafer, the inspection subsystem is configured as a BF inspection system. Such an inspection subsystem may, however, also be configured for other types of wafer inspection. For example, the inspection subsystem shown in FIG. 3 may also include one or more other channels (not shown). The other channel(s) may include any of the optical components described herein such as a lens and a detector, configured as a scattered light channel. The lens and the detector may be further configured as described herein. In this manner, the inspection subsystem may also be configured for DF inspection.


The inspection subsystem is configured for aligning the output for the wafer to the information for the single feature. The inspection subsystem is also configured for determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space. The inspection subsystem is further configured for determining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space. These steps may be performed by the inspection subsystem as described further herein.


The inspection subsystem may also include a computer subsystem that is configured to perform these steps. For example, the optical elements described above may form optical subsystem 316 of inspection subsystem 304, which may also include computer subsystem 318 that is coupled to the optical subsystem. In this manner, output generated by the detector(s) during scanning may be provided to computer subsystem 318. For example, the computer subsystem may be coupled to detector 314 (e.g., by one or more transmission media shown by the dashed line in FIG. 3, which may include any suitable transmission media known in the art) such that the computer subsystem may receive the output generated by the detector.


The computer subsystem of the inspection subsystem may be configured to perform any step(s) described herein. For example, computer subsystem 318 may be configured for performing the aligning step, determining the position of the first portion, and determining the positions of the other portions as described herein. In addition, computer subsystem 318 may be configured to perform other steps described herein such as the merging and storing steps. Therefore, although some of the steps described herein may be performed by different computer subsystems, all of the steps of the method may be performed by a single computer subsystem such as that of the inspection subsystem or a stand alone computer system. In addition, the computer subsystem may be configured as a virtual inspector such as that described in U.S. Pat. No. 8,126,255 issued on Feb. 28, 2012 to Bhaskar et al., which is incorporated by reference as if fully set forth herein.


The computer subsystem of the inspection subsystem may also be coupled to the other computer subsystem that is not part of the inspection subsystem such as computer subsystem 300, which may be included in another tool such as the EDA tool described above such that computer subsystem 318 can receive output generated by computer subsystem 300, which may include the information for the single feature or any other alignment layer information generated by that computer subsystem. For example, the two computer subsystems may be effectively coupled by a shared computer-readable storage medium such as a fab database or may be coupled by a transmission medium such as that described above such that information may be transmitted between the two computer subsystems.


It is noted that FIG. 3 is provided herein to generally illustrate a configuration of an inspection subsystem that may be included in the system embodiments described herein. Obviously, the inspection subsystem configuration described herein may be altered to optimize the performance of the inspection subsystem as is normally performed when designing a commercial inspection system. In addition, the systems described herein may be implemented using an existing inspection subsystem (e.g., by adding functionality described herein to an existing inspection system) such as the 29xx/28xx series of tools that are commercially available from KLA-Tencor. For some such systems, the methods described herein may be provided as optional functionality of the system (e.g., in addition to other functionality of the system). Alternatively, the system described herein may be designed “from scratch” to provide a completely new system.


Further modifications and alternative embodiments of various aspects of the invention will be apparent to those skilled in the art in view of this description. For example, systems and methods for determining a position of inspection system output in design data space are provided. Accordingly, this description is to be construed as illustrative only and for the purpose of teaching those skilled in the art the general manner of carrying out the invention. It is to be understood that the forms of the invention shown and described herein are to be taken as the presently preferred embodiments. Elements and materials may be substituted for those illustrated and described herein, parts and processes may be reversed, and certain features of the invention may be utilized independently, all as would be apparent to one skilled in the art after having the benefit of this description of the invention. Changes may be made in the elements described herein without departing from the spirit and scope of the invention as described in the following claims.

Claims
  • 1. A method for determining a position of output of an inspection system in a design data space, comprising: merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged;storing information for the single feature without the design data for the features that are merged, wherein the information comprises a position of the single feature in a design data space;aligning output of an inspection system for the wafer to the information for the single feature;determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space; anddetermining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space, wherein the merging step, the storing step, the aligning step, determining the position of the first portion, and determining the positions of the other portions are performed by one or more computer systems.
  • 2. The method of claim 1, wherein the output that is aligned comprises output in each of multiple swaths of output acquired by the inspection system for the wafer, and wherein determining the position of the first portion comprises determining positions of each of first portions of the output in each of the multiple swaths aligned to the single feature in the design data space based on the position of the single feature in the design data space.
  • 3. The method of claim 1, wherein the single feature comprises a bounding polygon defining the periphery of the single feature, wherein the single feature comprises no additional features within the periphery, and wherein the bounding polygon contains no additional polygons.
  • 4. The method of claim 1, wherein said merging eliminates any intellectual property in the design data from the information for the single feature.
  • 5. The method of claim 1, wherein storing the information comprises storing the information in a storage medium in which the design data is not stored.
  • 6. The method of claim 1, wherein the features that are merged have at least one lateral dimension on the wafer that is less than 100 nm, and wherein the inspection system is not capable of resolving features printed on the wafer having a lateral dimension that is less than 200 nm.
  • 7. The method of claim 1, further comprising identifying isolated features in the design data, wherein the information that is stored does not include the design data for the isolated features.
  • 8. The method of claim 1, wherein the features that are merged comprise dense features in the design data.
  • 9. The method of claim 1, wherein the features that are merged comprise features in a random logic area of the design data.
  • 10. The method of claim 1, wherein said merging comprises merging two or more sets of more than one feature in the design data into corresponding single features, wherein said storing comprises storing information for the corresponding single features without the design data for the features that are merged, and wherein the method further comprises selecting the single feature whose information will be used in the aligning step by acquiring output of the inspection system at locations of the corresponding single features on the wafer and selecting one of the corresponding single features that will provide more accurate alignment than others of the corresponding single features.
  • 11. The method of claim 1, further comprising simulating output that will be produced for the single feature by the inspection system based on the information for the single feature, wherein said storing comprises storing the simulated output with the information for the single feature.
  • 12. The method of claim 11, wherein said aligning comprises aligning the output of the inspection system for the wafer to the simulated output for the single feature.
  • 13. The method of claim 1, wherein said merging comprises merging two or more sets of more than one feature in the design data into corresponding single features, and wherein the method further comprises selecting the single feature whose information will he used in the aligning step from the corresponding single features.
  • 14. The method of claim 1, wherein the design data is not used by the inspection system during inspection of the wafer.
  • 15. The method of claim 1, wherein the inspection system is configured as a bright field inspection system.
  • 16. The method of claim 1, wherein the merging step and the storing step are performed with a first of the one or more computer systems, and wherein the aligning step, determining the position of the first portion, and determining the positions of the other portions are performed with a second of the one or more computer systems.
  • 17. A method for determining a position of output of an inspection system in a design data space, comprising: aligning output of an inspection system for a wafer to information for a single feature, wherein more than one feature in design data for the wafer were merged into the single feature that has a periphery that encompasses all of the features that were merged, and wherein the information comprises a position of the single feature in a design data space;determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space; anddetermining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space, wherein aligning the output, determining the position of the first portion, and determining the positions of the other portions are performed using a computer system.
  • 18. The method of claim 17, wherein the computer system is part of an inspection system, and wherein the features were merged by a computer system of an electronic design automation tool.
  • 19. A system configured to determine a position of output of an inspection system in a design data space, comprising: a computer subsystem configured for: merging more than one feature in design data for a wafer into a single feature that has a periphery that encompasses all of the features that are merged; andstoring information for the single feature without the design data for the features that are merged, wherein the information comprises a position of the single feature in a design data space; andan inspection subsystem configured for: scanning the wafer to generate an output for the wafer;aligning the output for the wafer to the information for the single feature;determining a position of a first portion of the output aligned to the single feature in the design data space based on the position of the single feature in the design data space; anddetermining positions in the design data space of other portions of the output based on the position of the first portion of the output in the design data space.
  • 20. The system of claim 19, wherein the computer subsystem is part of an electronic design automation tool, and wherein the inspection subsystem is not part of the electronic design automation tool.
  • 21. The system of claim 19, wherein the output that is aligned comprises output in each of multiple swaths of output acquired by the inspection subsystem for the wafer, and wherein determining the position of the first portion comprises determining positions of each of first portions of the output in each of the multiple swaths aligned to the single feature in the design data space based on the position of the single feature in the design data space.
  • 22. The system of claim 19, wherein the single feature comprises a bounding polygon defining the periphery of the single feature, wherein the single feature comprises no additional features within the periphery, and wherein the bounding polygon contains no additional polygons.
  • 23. The system of claim 19, wherein said merging eliminates any intellectual property in the design data from the information for the single feature.
  • 24. The system of claim 19, wherein storing the information comprises storing the information in a storage medium in which the design data is not stored.
  • 25. The system of claim 19, wherein the features that are merged have at least one lateral dimension on the wafer that is less than 100 nm, and wherein the inspection subsystem is not capable of resolving features printed on the wafer having a lateral dimension that is less than 200 nm.
  • 26. The system of claim 19, wherein the computer subsystem is further configured for identifying isolated features in the design data, and wherein the information that is stored does not include the design data for the isolated features.
  • 27. The system of claim 19, wherein the features that are merged comprise dense features in the design data.
  • 28. The system of claim 19, wherein the features that are merged comprise features in a random logic area of the design data.
  • 29. The system of claim 19, wherein said merging comprises merging two or more sets of more than one feature in the design data into corresponding single features, wherein said storing comprises storing information for the corresponding single features without the design data for the features that are merged, and wherein the computer subsystem is further configured for selecting the single feature whose information will be used in the aligning step by acquiring output of the inspection subsystem at locations of the corresponding single features on the wafer and selecting one of the corresponding single features that will provide more accurate alignment than others of the corresponding single features.
  • 30. The system of claim 19, wherein the computer subsystem is further configured for simulating output that will be produced for the single feature by the inspection subsystem based on the information for the single feature, and wherein said storing comprises storing the simulated output with the information for the single feature.
  • 31. The system of claim 30, wherein said aligning comprises aligning the output of the inspection subsystem for the wafer to the simulated output for the single feature.
  • 32. The system of claim 19, wherein said merging comprises merging two or more sets of more than one feature in the design data into corresponding single features, and wherein the computer subsystem is further configured for selecting the single feature whose information will be used in the aligning step from the corresponding single features.
  • 33. The system of claim 19, wherein the design data is not used by the inspection subsystem during inspection of the wafer.
  • 34. The system of claim 19, wherein the inspection subsystem is configured as a bright field inspection subsystem.
US Referenced Citations (445)
Number Name Date Kind
3495269 Mutschler et al. Feb 1970 A
3496352 Jugle Feb 1970 A
3909602 Micka Sep 1975 A
4015203 Verkuil Mar 1977 A
4247203 Levy et al. Jan 1981 A
4347001 Levy et al. Aug 1982 A
4378159 Galbraith Mar 1983 A
4448532 Joseph et al. May 1984 A
4475122 Green Oct 1984 A
4532650 Wihl et al. Jul 1985 A
4555798 Broadbent, Jr. et al. Nov 1985 A
4578810 MacFarlane et al. Mar 1986 A
4579455 Levy et al. Apr 1986 A
4595289 Feldman et al. Jun 1986 A
4599558 Castellano, Jr. et al. Jul 1986 A
4633504 Wihl Dec 1986 A
4641353 Kobayashi Feb 1987 A
4641967 Pecen Feb 1987 A
4734721 Boyer et al. Mar 1988 A
4748327 Shinozaki et al. May 1988 A
4758094 Wihl et al. Jul 1988 A
4766324 Saadat et al. Aug 1988 A
4799175 Sano et al. Jan 1989 A
4805123 Specht et al. Feb 1989 A
4812756 Curtis et al. Mar 1989 A
4814829 Kosugi et al. Mar 1989 A
4817123 Sones et al. Mar 1989 A
4845558 Tsai et al. Jul 1989 A
4877326 Chadwick et al. Oct 1989 A
4926489 Danielson et al. May 1990 A
4928313 Leonard et al. May 1990 A
5046109 Fujimori et al. Sep 1991 A
5124927 Hopewell et al. Jun 1992 A
5189481 Jann et al. Feb 1993 A
5355212 Wells et al. Oct 1994 A
5444480 Sumita Aug 1995 A
5453844 George et al. Sep 1995 A
5481624 Kamon Jan 1996 A
5485091 Verkuil Jan 1996 A
5497381 O'Donoghue et al. Mar 1996 A
5528153 Taylor et al. Jun 1996 A
5544256 Brecher et al. Aug 1996 A
5563702 Emery et al. Oct 1996 A
5572598 Wihl et al. Nov 1996 A
5578821 Meisberger et al. Nov 1996 A
5594247 Verkuil et al. Jan 1997 A
5608538 Edgar et al. Mar 1997 A
5619548 Koppel Apr 1997 A
5621519 Frost et al. Apr 1997 A
5644223 Verkuil Jul 1997 A
5650731 Fung et al. Jul 1997 A
5661408 Kamieniecki et al. Aug 1997 A
5689614 Gronet et al. Nov 1997 A
5694478 Braier et al. Dec 1997 A
5696835 Hennessey et al. Dec 1997 A
5703969 Hennessey et al. Dec 1997 A
5716889 Tsuji et al. Feb 1998 A
5737072 Emery et al. Apr 1998 A
5742658 Tiffin et al. Apr 1998 A
5754678 Hawthorne et al. May 1998 A
5767691 Verkuil Jun 1998 A
5767693 Verkuil Jun 1998 A
5771317 Edgar Jun 1998 A
5773989 Edelman et al. Jun 1998 A
5774179 Chevrette et al. Jun 1998 A
5795685 Liebmann et al. Aug 1998 A
5822218 Moosa et al. Oct 1998 A
5831865 Berezin et al. Nov 1998 A
5834941 Verkuil Nov 1998 A
5852232 Samsavar et al. Dec 1998 A
5866806 Samsavar et al. Feb 1999 A
5874733 Silver et al. Feb 1999 A
5884242 Meier et al. Mar 1999 A
5889593 Bareket Mar 1999 A
5917332 Chen et al. Jun 1999 A
5932377 Ferguson et al. Aug 1999 A
5940458 Suk Aug 1999 A
5948972 Samsavar et al. Sep 1999 A
5955661 Samsavar et al. Sep 1999 A
5965306 Mansfield et al. Oct 1999 A
5978501 Badger et al. Nov 1999 A
5980187 Verhovsky Nov 1999 A
5986263 Hiroi et al. Nov 1999 A
5991699 Kulkarni et al. Nov 1999 A
5999003 Steffan et al. Dec 1999 A
6011404 Ma et al. Jan 2000 A
6014461 Hennessey et al. Jan 2000 A
6040911 Nozaki et al. Mar 2000 A
6040912 Zika et al. Mar 2000 A
6052478 Wihl et al. Apr 2000 A
6060709 Verkuil et al. May 2000 A
6072320 Verkuil Jun 2000 A
6076465 Vacca et al. Jun 2000 A
6078738 Garza et al. Jun 2000 A
6091257 Verkuil et al. Jul 2000 A
6091846 Lin et al. Jul 2000 A
6097196 Verkuil et al. Aug 2000 A
6097887 Hardikar et al. Aug 2000 A
6104206 Verkuil Aug 2000 A
6104835 Han Aug 2000 A
6117598 Imai Sep 2000 A
6121783 Horner et al. Sep 2000 A
6122017 Taubman Sep 2000 A
6122046 Almogy Sep 2000 A
6137570 Chuang et al. Oct 2000 A
6141038 Young et al. Oct 2000 A
6146627 Muller et al. Nov 2000 A
6171737 Phan et al. Jan 2001 B1
6175645 Elyasaf et al. Jan 2001 B1
6184929 Noda et al. Feb 2001 B1
6184976 Park et al. Feb 2001 B1
6191605 Miller et al. Feb 2001 B1
6201999 Jevtic Mar 2001 B1
6202029 Verkuil et al. Mar 2001 B1
6205239 Lin et al. Mar 2001 B1
6215551 Nikoonahad et al. Apr 2001 B1
6224638 Jevtic et al. May 2001 B1
6233719 Hardikar et al. May 2001 B1
6246787 Hennessey et al. Jun 2001 B1
6248485 Cuthbert Jun 2001 B1
6248486 Dirksen et al. Jun 2001 B1
6259960 Inokuchi Jul 2001 B1
6266437 Eichel et al. Jul 2001 B1
6267005 Samsavar et al. Jul 2001 B1
6268093 Kenan et al. Jul 2001 B1
6272236 Pierrat et al. Aug 2001 B1
6282309 Emery Aug 2001 B1
6292582 Lin et al. Sep 2001 B1
6295374 Robinson et al. Sep 2001 B1
6324298 O'Dell et al. Nov 2001 B1
6344640 Rhoads Feb 2002 B1
6363166 Wihl et al. Mar 2002 B1
6366687 Aloni et al. Apr 2002 B1
6373975 Bula et al. Apr 2002 B1
6388747 Nara et al. May 2002 B2
6393602 Atchison et al. May 2002 B1
6407373 Dotan Jun 2002 B1
6415421 Anderson et al. Jul 2002 B2
6445199 Satya et al. Sep 2002 B1
6451690 Matsumoto et al. Sep 2002 B1
6459520 Takayama Oct 2002 B1
6466314 Lehman Oct 2002 B1
6466315 Karpol et al. Oct 2002 B1
6470489 Chang et al. Oct 2002 B1
6483938 Hennessey et al. Nov 2002 B1
6513151 Erhardt et al. Jan 2003 B1
6526164 Mansfield et al. Feb 2003 B1
6529621 Glasser et al. Mar 2003 B1
6535628 Smargiassi et al. Mar 2003 B2
6539106 Gallarda et al. Mar 2003 B1
6569691 Jastrzebski et al. May 2003 B1
6581193 McGhee et al. Jun 2003 B1
6593748 Halliyal et al. Jul 2003 B1
6597193 Lagowski et al. Jul 2003 B2
6602728 Liebmann et al. Aug 2003 B1
6608681 Tanaka et al. Aug 2003 B2
6614520 Bareket et al. Sep 2003 B1
6631511 Haffner et al. Oct 2003 B2
6636301 Kvamme et al. Oct 2003 B1
6642066 Halliyal et al. Nov 2003 B1
6658640 Weed Dec 2003 B2
6665065 Phan et al. Dec 2003 B1
6670082 Liu et al. Dec 2003 B2
6680621 Savtchouk Jan 2004 B2
6691052 Maurer Feb 2004 B1
6701004 Shykind et al. Mar 2004 B1
6718526 Eldredge et al. Apr 2004 B1
6721695 Chen et al. Apr 2004 B1
6734696 Horner et al. May 2004 B2
6738954 Allen et al. May 2004 B1
6748103 Glasser et al. Jun 2004 B2
6751519 Satya et al. Jun 2004 B1
6753954 Chen Jun 2004 B2
6757645 Chang et al. Jun 2004 B2
6759655 Nara et al. Jul 2004 B2
6771806 Satya et al. Aug 2004 B1
6775818 Taravade et al. Aug 2004 B2
6777147 Fonseca et al. Aug 2004 B1
6777676 Wang et al. Aug 2004 B1
6778695 Schellenberg et al. Aug 2004 B1
6779159 Yokoyama et al. Aug 2004 B2
6784446 Phan et al. Aug 2004 B1
6788400 Chen Sep 2004 B2
6789032 Barbour et al. Sep 2004 B2
6803554 Ye et al. Oct 2004 B2
6806456 Ye et al. Oct 2004 B1
6807503 Ye et al. Oct 2004 B2
6813572 Satya et al. Nov 2004 B2
6820028 Ye et al. Nov 2004 B2
6828542 Ye et al. Dec 2004 B2
6842225 Irie et al. Jan 2005 B1
6859746 Stirton Feb 2005 B1
6879403 Freifeld Apr 2005 B2
6879924 Ye et al. Apr 2005 B2
6882745 Brankner et al. Apr 2005 B2
6884984 Ye et al. Apr 2005 B2
6886153 Bevis Apr 2005 B1
6892156 Ye et al. May 2005 B2
6902855 Peterson et al. Jun 2005 B2
6906305 Pease et al. Jun 2005 B2
6918101 Satya et al. Jul 2005 B1
6919957 Nikoonahad et al. Jul 2005 B2
6937753 O'Dell et al. Aug 2005 B1
6948141 Satya et al. Sep 2005 B1
6959255 Ye et al. Oct 2005 B2
6966047 Glasser Nov 2005 B1
6969837 Ye et al. Nov 2005 B2
6969864 Ye et al. Nov 2005 B2
6983060 Martinent-Catalot et al. Jan 2006 B1
6988045 Purdy Jan 2006 B2
6990385 Smith et al. Jan 2006 B1
7003755 Pang et al. Feb 2006 B2
7003758 Ye et al. Feb 2006 B2
7012438 Miller et al. Mar 2006 B1
7026615 Takane et al. Apr 2006 B2
7027143 Stokowski et al. Apr 2006 B1
7030966 Hansen Apr 2006 B2
7030997 Neureuther et al. Apr 2006 B2
7053355 Ye et al. May 2006 B2
7061625 Hwang et al. Jun 2006 B1
7071833 Nagano et al. Jul 2006 B2
7103484 Shi et al. Sep 2006 B1
7106895 Goldberg et al. Sep 2006 B1
7107517 Suzuki et al. Sep 2006 B1
7107571 Chang et al. Sep 2006 B2
7111277 Ye et al. Sep 2006 B2
7114143 Hanson et al. Sep 2006 B2
7114145 Ye et al. Sep 2006 B2
7117477 Ye et al. Oct 2006 B2
7117478 Ye et al. Oct 2006 B2
7120285 Spence Oct 2006 B1
7120895 Ye et al. Oct 2006 B2
7123356 Stokowski et al. Oct 2006 B1
7124386 Smith et al. Oct 2006 B2
7133548 Kenan et al. Nov 2006 B2
7135344 Nehmadi et al. Nov 2006 B2
7136143 Smith Nov 2006 B2
7152215 Smith et al. Dec 2006 B2
7162071 Hung et al. Jan 2007 B2
7170593 Honda et al. Jan 2007 B2
7171334 Gassner Jan 2007 B2
7174520 White et al. Feb 2007 B2
7194709 Brankner Mar 2007 B2
7207017 Tabery et al. Apr 2007 B1
7231628 Pack et al. Jun 2007 B2
7236847 Marella Jun 2007 B2
7271891 Xiong et al. Sep 2007 B1
7379175 Stokowski et al. May 2008 B1
7383156 Matsusita et al. Jun 2008 B2
7386839 Golender et al. Jun 2008 B1
7388979 Sakai et al. Jun 2008 B2
7418124 Peterson et al. Aug 2008 B2
7424145 Horie et al. Sep 2008 B2
7440093 Xiong et al. Oct 2008 B1
7570796 Zafar et al. Aug 2009 B2
7676077 Kulkarni et al. Mar 2010 B2
7683319 Makino et al. Mar 2010 B2
7738093 Alles et al. Jun 2010 B2
7739064 Ryker et al. Jun 2010 B1
7752584 Yang Jul 2010 B2
7760929 Orbon et al. Jul 2010 B2
7769225 Kekare et al. Aug 2010 B2
7774153 Smith Aug 2010 B1
7877722 Duffy et al. Jan 2011 B2
7890917 Young et al. Feb 2011 B1
7904845 Fouquet et al. Mar 2011 B2
7968859 Young et al. Jun 2011 B2
8041103 Kulkarni et al. Oct 2011 B2
8073240 Fischer et al. Dec 2011 B2
8112241 Xiong Feb 2012 B2
8126255 Bhaskar et al. Feb 2012 B2
8204297 Xiong et al. Jun 2012 B1
20010017694 Oomori et al. Aug 2001 A1
20010019625 Kenan et al. Sep 2001 A1
20010022858 Komiya et al. Sep 2001 A1
20010043735 Smargiassi et al. Nov 2001 A1
20020010560 Balachandran Jan 2002 A1
20020019729 Chang et al. Feb 2002 A1
20020026626 Randall et al. Feb 2002 A1
20020033449 Nakasuji et al. Mar 2002 A1
20020035461 Chang et al. Mar 2002 A1
20020035641 Kurose et al. Mar 2002 A1
20020035717 Matsuoka Mar 2002 A1
20020054291 Tsai et al. May 2002 A1
20020088951 Chen Jul 2002 A1
20020090746 Xu et al. Jul 2002 A1
20020134936 Matsui et al. Sep 2002 A1
20020144230 Rittman Oct 2002 A1
20020145734 Watkins et al. Oct 2002 A1
20020164065 Cai et al. Nov 2002 A1
20020168099 Noy Nov 2002 A1
20020176096 Sentoku et al. Nov 2002 A1
20020181756 Shibuya et al. Dec 2002 A1
20020186878 Hoon et al. Dec 2002 A1
20020192578 Tanaka et al. Dec 2002 A1
20030004699 Choi et al. Jan 2003 A1
20030014146 Fujii et al. Jan 2003 A1
20030017664 Pnueli et al. Jan 2003 A1
20030022401 Hamamatsu et al. Jan 2003 A1
20030033046 Yoshitake et al. Feb 2003 A1
20030048458 Mieher et al. Mar 2003 A1
20030048939 Lehman Mar 2003 A1
20030057971 Nishiyama et al. Mar 2003 A1
20030076989 Maayah et al. Apr 2003 A1
20030086081 Lehman May 2003 A1
20030094572 Matsui et al. May 2003 A1
20030098805 Bizjak et al. May 2003 A1
20030128870 Pease et al. Jul 2003 A1
20030138138 Vacca et al. Jul 2003 A1
20030138978 Tanaka et al. Jul 2003 A1
20030169916 Hayashi et al. Sep 2003 A1
20030173516 Takane et al. Sep 2003 A1
20030192015 Liu Oct 2003 A1
20030207475 Nakasuji et al. Nov 2003 A1
20030223639 Shlain et al. Dec 2003 A1
20030226951 Ye et al. Dec 2003 A1
20030227620 Yokoyama et al. Dec 2003 A1
20030228714 Smith et al. Dec 2003 A1
20030229410 Smith et al. Dec 2003 A1
20030229412 White et al. Dec 2003 A1
20030229868 White et al. Dec 2003 A1
20030229875 Smith et al. Dec 2003 A1
20030229880 White et al. Dec 2003 A1
20030229881 White et al. Dec 2003 A1
20030237064 White et al. Dec 2003 A1
20040030430 Matsuoka Feb 2004 A1
20040032908 Hagai et al. Feb 2004 A1
20040049722 Matsushita Mar 2004 A1
20040052411 Qian et al. Mar 2004 A1
20040057611 Lee et al. Mar 2004 A1
20040066506 Elichai et al. Apr 2004 A1
20040091142 Peterson et al. May 2004 A1
20040094762 Hess et al. May 2004 A1
20040098216 Ye et al. May 2004 A1
20040102934 Chang May 2004 A1
20040107412 Pack et al. Jun 2004 A1
20040119036 Ye et al. Jun 2004 A1
20040120569 Hung et al. Jun 2004 A1
20040133369 Pack et al. Jul 2004 A1
20040147121 Nakagaki et al. Jul 2004 A1
20040174506 Smith Sep 2004 A1
20040179738 Dai et al. Sep 2004 A1
20040199885 Lu et al. Oct 2004 A1
20040223639 Sato et al. Nov 2004 A1
20040228515 Okabe et al. Nov 2004 A1
20040234120 Honda et al. Nov 2004 A1
20040243320 Chang et al. Dec 2004 A1
20040246476 Bevis et al. Dec 2004 A1
20040254752 Wisniewski et al. Dec 2004 A1
20050004774 Volk et al. Jan 2005 A1
20050008218 O'Dell et al. Jan 2005 A1
20050010890 Nehmadi et al. Jan 2005 A1
20050013474 Sim Jan 2005 A1
20050062962 Fairley et al. Mar 2005 A1
20050069217 Mukherjee Mar 2005 A1
20050117796 Matsui et al. Jun 2005 A1
20050132306 Smith et al. Jun 2005 A1
20050141764 Tohyama et al. Jun 2005 A1
20050166174 Ye et al. Jul 2005 A1
20050184252 Ogawa et al. Aug 2005 A1
20050190957 Cai et al. Sep 2005 A1
20050198602 Brankner et al. Sep 2005 A1
20060000964 Ye et al. Jan 2006 A1
20060036979 Zurbrick et al. Feb 2006 A1
20060038986 Honda et al. Feb 2006 A1
20060048089 Schwarzband Mar 2006 A1
20060051682 Hess et al. Mar 2006 A1
20060062445 Verma et al. Mar 2006 A1
20060066339 Rajski et al. Mar 2006 A1
20060082763 Teh et al. Apr 2006 A1
20060159333 Ishikawa Jul 2006 A1
20060161452 Hess Jul 2006 A1
20060193506 Dorphan et al. Aug 2006 A1
20060193507 Sali et al. Aug 2006 A1
20060236294 Saidin et al. Oct 2006 A1
20060236297 Melvin, III et al. Oct 2006 A1
20060239536 Shibuya et al. Oct 2006 A1
20060265145 Huet et al. Nov 2006 A1
20060266243 Percin et al. Nov 2006 A1
20060269120 Nehmadi et al. Nov 2006 A1
20060273242 Hunsche et al. Dec 2006 A1
20060273266 Preil et al. Dec 2006 A1
20060277520 Gennari Dec 2006 A1
20060291714 Wu et al. Dec 2006 A1
20060292463 Best et al. Dec 2006 A1
20070002322 Borodovsky et al. Jan 2007 A1
20070011628 Ouali et al. Jan 2007 A1
20070013901 Kim et al. Jan 2007 A1
20070019171 Smith Jan 2007 A1
20070019856 Furman Jan 2007 A1
20070031745 Ye et al. Feb 2007 A1
20070032896 Ye et al. Feb 2007 A1
20070035322 Kang et al. Feb 2007 A1
20070035712 Gassner et al. Feb 2007 A1
20070035728 Kekare et al. Feb 2007 A1
20070052963 Orbon et al. Mar 2007 A1
20070064995 Oaki et al. Mar 2007 A1
20070133860 Lin et al. Jun 2007 A1
20070156379 Kulkarni et al. Jul 2007 A1
20070230770 Kulkarni et al. Oct 2007 A1
20070248257 Bruce et al. Oct 2007 A1
20070280527 Almogy et al. Dec 2007 A1
20070288219 Zafar et al. Dec 2007 A1
20080013083 Kirk et al. Jan 2008 A1
20080015802 Urano et al. Jan 2008 A1
20080016481 Matsuoka et al. Jan 2008 A1
20080018887 Chen et al. Jan 2008 A1
20080049994 Rognin et al. Feb 2008 A1
20080058977 Honda Mar 2008 A1
20080072207 Verma et al. Mar 2008 A1
20080081385 Marella et al. Apr 2008 A1
20080163140 Fouquet et al. Jul 2008 A1
20080167829 Park et al. Jul 2008 A1
20080250384 Duffy et al. Oct 2008 A1
20080295047 Nehmadi et al. Nov 2008 A1
20080295048 Nehmadi et al. Nov 2008 A1
20080304056 Alles et al. Dec 2008 A1
20090024967 Su et al. Jan 2009 A1
20090037134 Kulkarni et al. Feb 2009 A1
20090041332 Bhaskar et al. Feb 2009 A1
20090043527 Park et al. Feb 2009 A1
20090055783 Florence et al. Feb 2009 A1
20090067703 Lin et al. Mar 2009 A1
20090080759 Bhaskar et al. Mar 2009 A1
20090210183 Rajski et al. Aug 2009 A1
20090257645 Chen et al. Oct 2009 A1
20090284733 Wallingford et al. Nov 2009 A1
20090290782 Regensburger Nov 2009 A1
20090299681 Chen et al. Dec 2009 A1
20090323052 Silberstein et al. Dec 2009 A1
20100142800 Pak et al. Jun 2010 A1
20100146338 Schalick et al. Jun 2010 A1
20100150429 Jau et al. Jun 2010 A1
20100188657 Chen et al. Jul 2010 A1
20100226562 Wu et al. Sep 2010 A1
20110013825 Shibuya et al. Jan 2011 A1
20110052040 Kuan Mar 2011 A1
20110184662 Badger et al. Jul 2011 A1
20110251713 Teshima et al. Oct 2011 A1
20110276935 Fouquet et al. Nov 2011 A1
20110311126 Sakai et al. Dec 2011 A1
20120308112 Hu et al. Dec 2012 A1
20120319246 Tan et al. Dec 2012 A1
20130009989 Chen et al. Jan 2013 A1
20130027196 Yankun et al. Jan 2013 A1
Foreign Referenced Citations (54)
Number Date Country
1339140 Mar 2002 CN
1398348 Feb 2003 CN
1646896 Jul 2005 CN
0032197 Jul 1981 EP
0370322 May 1990 EP
1061358 Dec 2000 EP
1061571 Dec 2000 EP
1065567 Jan 2001 EP
1066925 Jan 2001 EP
1069609 Jan 2001 EP
1093017 Apr 2001 EP
1329771 Jul 2003 EP
1480034 Nov 2004 EP
1696270 Aug 2006 EP
7-159337 Jun 1995 JP
2002-071575 Mar 2002 JP
2002-365235 Dec 2002 JP
2003-215060 Jul 2003 JP
2004-045066 Feb 2004 JP
2005-283326 Oct 2005 JP
2007-234798 Sep 2007 JP
2009-122046 Jun 2009 JP
2010-256242 Nov 2010 JP
2012-225768 Nov 2012 JP
10-2001-0007394 Jan 2001 KR
10-2001-0037026 May 2001 KR
10-2001-0101697 Nov 2001 KR
10-2003-0055848 Jul 2003 KR
10-2006-0075691 Jul 2005 KR
10-2005-0092053 Sep 2005 KR
10-2006-0124514 Dec 2006 KR
10-0696276 Mar 2007 KR
10-2010-0061018 Jun 2010 KR
10-2012-0068128 Jun 2012 KR
9857358 Dec 1998 WO
9922310 May 1999 WO
9925004 May 1999 WO
9959200 May 1999 WO
9938002 Jul 1999 WO
9941434 Aug 1999 WO
0003234 Jan 2000 WO
0036525 Jun 2000 WO
0055799 Sep 2000 WO
0068884 Nov 2000 WO
0070332 Nov 2000 WO
0109566 Feb 2001 WO
0140145 Jun 2001 WO
03104921 Dec 2003 WO
2004027684 Apr 2004 WO
2004097903 Nov 2004 WO
2006012388 Feb 2006 WO
2006063268 Jun 2006 WO
2009152046 Sep 2009 WO
2010093733 Aug 2010 WO
Non-Patent Literature Citations (53)
Entry
U.S. Appl. No. 60/681,095, filed May 13, 2005 by Nehmadi et al.
U.S. Appl. No. 60/684,360, filed May 24, 2005 by Nehmadi et al.
U.S. Appl. No. 13/652,377, filed Oct. 15, 2012 by Wu et al.
Allan et al., “Critical Area Extraction for Soft Fault Estimation,” IEEE Transactions on Semiconductor Manufacturing, vol. 11, No. 1, Feb. 1998.
Barty et al., “Aerial Image Microscopes for the inspection of defects in EUV masks,” Proceedings of SPIE, vol. 4889, 2002, pp. 1073-1084.
Budd et al., “A New Mask Evaluation Tool, the Microlithography Simulation Microscope Aerial Image Measurement System,” SPIE vol. 2197, 1994, pp. 530-540.
Cai et al., “Enhanced Dispositioning of Reticle Defects Using the Virtual Stepper With Automoated Defect Severity Scoring,” Proceedings of the SPIE, vol. 4409, Jan. 2001, pp. 467-478.
Comizzoli, “Uses of Corona Discharges in the Semiconductor Industry,” J. Electrochem. Soc., 1987, pp. 424-429.
Contactless Electrical Equivalent Oxide Thickness Measurement, IBM Technical Disclosure Bulletin, vol. 29, No. 10, 1987, pp. 4622-4623.
Contactless Photovoltage vs. Bias Method for Determining Flat-Band Voltage, IBM Technical Disclosure Bulletin, vol. 32, vol. 9A, 1990, pp. 14-17.
Cosway et al., “Manufacturing Implementation of Corona Oxide Silicon (COS) Systems for Diffusion Furnace Contamination Monitoring,” 1997 IEEE/SEMI Advanced Semiconductor Manufacturing Conference, pp. 98-102.
Diebold et al., “Characterization and produiction metrology of thin transistor gate oxide films,” Materials Science in Semiconductor Processing 2, 1999, pp. 103-147.
Dirksen et al., “Impact of high order aberrations on the performance of the aberration monitor,” Proc. Of SPIE vol. 4000, Mar. 2000, pp. 9-17.
Dirksen et al., “Novel aberration monitor for optical lithography,” Proc. Of SPIE vol. 3679, Jul. 1999, pp. 77-86.
Garcia et al., “New Die to Database Inspection Algorithm for Inspection of 90-nm Node Reticles,” Proceedings of SPIE, vol. 5130, 2003, pp. 364-374.
Granik et al., “Sub-resolution process windows and yield estimation technique based on detailed full-chip CD simulation,” Mentor Graphics, Sep. 2000, 5 pages.
Hess et al., “A Novel Approach: High Resolution Inspection with Wafer Plane Defect Detection,” Proceedings of SPIE—International Society for Optical Engineering; Photomask and Next-Generation Lithography Mask Technology 2008, vol. 7028, 2008.
Huang et al., “Process Window Impact of Progressive Mask Defects, Its Inspection and Disposition Techniques (go/no-go criteria) Via a Lithographic Detector,” Proceedings of SPIE—The International Society for Optical Engineering; 25th Annual Bacus Symposium on Photomask Technology 2005, vol. 5992, No. 1, 2005, p. 6.
Huang et al., “Using Design Based Binning to Improve Defect Excursion Control for 45nm Production,” IEEE, International Symposium on Semiconductor Manufacturing, Oct. 2007, pp. 1-3.
Hung et al., Metrology Study of Sub 20 Angstrom oxynitride by Corona-Oxide-Silicon (COS) and Conventional C-V Approaches, 2002, Mat. Res. Soc. Symp. Proc., vol. 716, pp. 119-124.
Karklin et al., “Automatic Defect Severity Scoring for 193 nm Reticle Defect Inspection,” Proceedings of SPIE—The International Society for Optical Engineering, 2001, vol. 4346, No. 2, pp. 898-906.
Lo et al., “Identifying Process Window Marginalities of Reticle Designs for 0.15/0.13 μm Technologies,” Proceedings of SPIE vol. 5130, 2003, pp. 829-837.
Lorusso et al. “Advanced DFM Applns. Using design-based metrology on CDSEM,” SPIE vol. 6152, Mar. 27, 2006.
Lu et al., “Application of Simulation Based Defect Printability Analysis for Mask Qualification Control,” Proceedings of SPIE, vol. 5038, 2003, pp. 33-40.
Mack, “Lithographic Simulation: A Review,” Proceedings of SPIE vol. 4440, 2001, pp. 59-72.
Martino et al., “Application of the Aerial Image Measurement System (AIMS(TM)) to the Analysis of Binary Mask Imaging and Resolution Enhancement Techniques,” SPIE vol. 2197, 1994, pp. 573-584.
Miller, “A New Approach for Measuring Oxide Thickness,” Semiconductor International, Jul. 1995, pp. 147-148.
Nagpal et al., “Wafer Plane Inspection for Advanced Reticle Defects,” Proceedings of SPIE—The International Society for Optical Engineering; Photomask and Next-Generation Lithography Mask Technology. vol. 7028, 2008.
Numerical Recipes in C. The Art of Scientific Computing, 2nd Ed., @ Cambridge University Press 1988, 1992, p. 683.
O'Gorman et al., “Subpixel Registration Using a Concentric Ring Fiducial,” Proceedings of the International Conference on Pattern Recognition, vol. ii, Jun. 16, 1990, pp. 249-253.
Otsu, “A Threshold Selection Method from Gray-Level Histograms,” IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-9, No. 1, Jan. 1979, pp. 62-66.
Pang et al., “Simulation-based Defect Printability Analysis on Alternating Phase Shifting Masks for 193 nm Lithography,” Proceedings of SPIE, vol. 4889, 2002, pp. 947-954.
Pettibone et al., “Wafer Printability Simulation Accuracy Based on UV Optical Inspection Images of Reticle Defects,” Proceedings of SPIE—The International Society for Optical Engineering 1999 Society of Photo-Optical Instrumentation Engineers, vol. 3677, No. II, 1999, pp. 711-720.
Phan et al., “Comparison of Binary Mask Defect Printability Analysis Using Virtual Stepper System and Aerial Image Microscope System,” Proceedings of SPIE—The International Society for Optical Engineering 1999 Society of Photo-Optical Instrumentation Engineers, vol. 3873, 1999, pp. 681-692.
Sahouria et al., “Full-chip Process Simulation for Silicon DRC,” Mentor Graphics, Mar. 2000, 6 pages.
Sato et al., “Defect Criticality Index (DCI): A new methodology to significantly improve DOI sampling rate in a 45nm production environment,” Metrology, Inspection, and Process Control for Microlithography XXII, Proc. Of SPIE vol. 6922, 692213 (2008), pp. 1-9.
Schroder et al., Corona-Oxide-Semiconductor Device Characterization, 1998, Solid-State Electronics, vol. 42, No. 4, pp. 505-512.
Schroder, “Surface voltage and surface photovoltage: history, theory and applications,” Measurement Science and Technology, vol. 12, 2001, pp. R16-31.
Schroder, Contactless Surface Charge Semiconductor Characterization, Apr. 2002, Materials Science and Engineering B, vol. 91-92, pp. 196-228.
Schurz et al., “Simulation Study of Reticle Enhancement Technology Applications for 157 nm Lithography,” SPIE vol. 4562, 2002, pp. 902-913.
Svidenko et al. “Dynamic Defect-Limited Yield Prediction by Criticality Factor,” ISSM Paper: YE-O-157, 2007.
Tang et al., “Analyzing Volume Diagnosis Results with Statistical Learning for Yield Improvement” 12th IEEE European Test Symposium, Freiburg 2007, IEEE European, May 20-24, 2007, pp. 145-150.
Verkuil et al., “A Contactless Alternative to MOS Charge Measurements by Means of a Corona-Oxide-Semiconductor (COS) Technique,” Electrochem. Soc. Extended Abstracts, 1988, vol. 88-1, No. 169, pp. 261-262.
Verkuil, “Rapid Contactless Method for Measuring Fixed Oxide Charge Associated with Silicon Processing,” IBM Technical Disclosure Bulletin, vol. 24, No. 6, 1981, pp. 3048-3053.
Volk et al. “Investigation of Reticle Defect Formation at DUV Lithography,” 2002, BACUS Symposium on Photomask Technology.
Volk et al. “Investigation of Reticle Defect Formation at DUV Lithography,” 2003, IEEE/SEMI Advanced Manufacturing Conference, pp. 29-35.
Volk et al., “Investigation of Smart Inspection of Critical Layer Reticles using Additional Designer Data to Determine Defect Significance,” Proceedings of SPIE vol. 5256, 2003, pp. 489-499.
Weinberg, “Tunneling of Electrons from Si into Thermally Grown SiO2,” Solid-State Electronics, 1977, vol. 20, pp. 11-18.
Weinzierl et al., “Non-Contact Corona-Based Process Control Measurements: Where We've Been, Where We're Headed,” Electrochemical Society Proceedings, Oct. 1999, vol. 99-16, pp. 342-350.
Yan et al., “Printability of Pellicle Defects in DUV 0.5 urn Lithography,” SPIE vol. 1604, 1991, pp. 106-117.
Guo et al., “License Plate Localization and Character Segmentation with Feedback Self-Learning and Hybrid Binarization Techniques,” IEEE Transactions on Vehicular Technology, vol. 57, No. 3, May 2008, pp. 1417-1424.
Liu, “Robust Image Segmentation Using Local Median,” Proceedings of the 3rd Canadian Conference on Computer and Robot Vision (CRV'06) 0-7695-2542-3/06, 2006 IEEE, 7 pages total.
International Search Report and Written Opinion for PCT/US2014/010352 mailed Apr. 29, 2014.
Related Publications (1)
Number Date Country
20140195992 A1 Jul 2014 US
Provisional Applications (1)
Number Date Country
61749806 Jan 2013 US