The present invention relates generally to scanning of a volume of a semiconductor substrate for anomalies and/or defects. In particular, the present invention relates to the scanning of substrates such as semiconductor wafers for voids and defects that may negatively affect semiconductor devices formed thereon.
As semiconductor devices get smaller, they are more adversely affected by defects in the substrate on which they are formed. Problems arising from improper chemistry or temperature control during formation of substrates may generate problems that affect the electrical characteristics of a semiconductor device or may even cause the substrate to physically break. It is best to identify substrates that may have such problems as early in the manufacturing process as is possible to avoid costs associated with processing substrates that may have a low yield or which may simply become unusable.
By identifying problems, discrepancies, defects, or excursions in control processes at an early stage, one can also validate proposed production methods or to ensure that existing production methods are adhered to. It should be noted however, that even in lots or groups of substrates that are otherwise “good” it may be possible to have a number of substrates that are outliers in terms of bad characteristics. Accordingly, it is helpful to conduct inspection and review processes as broadly and as thoroughly as possible.
Some methods of reviewing substrates such as silicon wafers include copper plating and the subsequent analysis of crystalline defects in the surface of a wafer revealed by the plating process. It has been found that a bare silicon wafer can be plated with a thin coat of copper to identify areas or locations of a wafer having structural or chemical features that are not conducive to the formation of semiconductor device. This is a time consuming and costly process and is generally conducted on a sampling basis.
Another method of reviewing substrates such as silicon wafers involves carefully honing and etching a wafer surface before it is scribed and cleaved along a selected crystalline plane that is often identified by its appropriate Miller index. The cleaved surface is then assessed using IR scattering tomography. This process, while more detailed, is even more time consuming than copper plating. Further, in this process only the cleaved surface of the wafer is reviewed.
In general, substrates are reviewed for defects only at their surface due to costs and time requirements. Various tomographic techniques familiar to those in the medical imaging industry do capture scattering information that is used to characterize a 3D volume that is under test, often a biologic specimen or even a person. However, these techniques require complex sensor arrangements that can differentiate light of one or more wavelengths scattered from an object of interest from multiple incident and/or azimuthal angles. Such systems are too slow for use in a production environment and are frankly too costly.
Other inspection techniques are much simpler and faster than the foregoing. For example, darkfield imaging techniques are frequently used to identify discontinuities in the surface of an object such as a silicon wafer. This imaging technique may be carried out at a very high sensitivity (10's of nanometers), however at higher sensitivities the complexity and speed of such a system is increased and decreased, respectively. At the opposite end of the proverbial spectrum, some optical systems are arranged to inspect an entire surface of a substrate at one time. In these cases however, the increased speed of such a system is offset by the uncertainty in the size and shape of an identified discontinuity.
As a result there is a strong need in the market place for a scanning inspection system that is capable of quickly and reliably vetting not only the surface of a substrate, but also the interior volume of the substrate. Further, this system must be relatively simple to operate and provide a high throughput as compared to the cost to own and operate the system.
One embodiment of a volumetric substrate scanner that meets the needs of the marketplace includes an illuminator, focusing optics, collection optics, a detector, a stage and a controller that are constructed and arranged to scan substantially all, or in some instances only selected parts, of a substrate such as a silicon wafer to identify anomalies or defects in the interior of the substrate. One aspect of this embodiment may involve an illuminator that outputs radiation that has at least one wavelength in the range of approximately 800 nm to 2000 nm. Other suitable wavelengths may also be used.
Focusing optics assist in the scan of the substrate by directing radiation toward a substrate and selectively focusing it along an optical path that intersects the substrate within its volume. Light scattered from the focal position of the radiation is collected and directed to a detector by collection optics. In one embodiment the collection optics include a spatial filter that omits specularly reflected light. The detector measures and records a characteristic of the light scattered from the substrate. One such characteristic is the intensity of the scattered light. Another characteristic may be a spectrum of scattered light, though the detector will require some form of spectrograph to distinguish a spectrum of scattered light. A simple photo diode or the like may be used to measure the intensity of scattered light.
A controller coordinates the illuminator, focusing optics, detector and a stage to ensure that a substrate is scanned as desired. As a result of this coordination, the volume of a substrate and perhaps at least one surface of the substrate as well are scanned for anomalies or defects.
In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
Those skilled in the art will appreciate that substrates 10 are often thinned as part of a manufacturing process. In particular, silicon wafers on which are formed semiconductor devices are often thinned as part of what is referred to as a back end packaging process. The grinding process is typically carried out using a chemical mechanical planarization process (CMP) that combines abrasive grinding with a chemical treatment that renders the material of the substrate 10 more friable, thereby speeding the grinding process. As the CMP process proceeds, multiple defects 18 are or may be exposed. In some circumstances, a defect 18 may give rise to a crack that travels through the volume 16 of the substrate 10, thereby breaking it either during the CMP process or during subsequent processing and packaging steps. Of particular import are defects 18 that exist at the back side 20 of a thinned substrate 10. Because defects 18 typically concentrate stresses in the material of the substrate 10, a thinned substrate may break at the location of the exposed defect 18. It is helpful to identify the existence and position of such defects 18 before a substrate 10 is thinned.
Scanner 30 includes an illumination source 32 that outputs light to which a substrate 10 is at least partially transparent. For a silicon wafer, the requisite wavelengths are in the near infrared ranges. Other substrates may require other wavelengths of light and these wavelengths will be known to those skilled in the art. In one embodiment is it has been found advantageous to use a super luminescent diode (SLED) that outputs a broad range of wavelengths of light as an illumination source 32. In other embodiments a diode laser of a suitable wavelength (e.g. IR wavelengths) or a halogen light source may be used. The range of wavelengths output by a typical source 32 of this type includes light with a wavelength of between about 700 nm and 1500 nm. Additional wavelengths of light in the visible ranges (about 400 nm to 700 nm) and longer infrared wavelengths (greater than 1500 nm) may also be present in the output of illuminator 32. Selection of a single wavelength or range of wavelengths may be obtained by operation the illuminator 32 to output only the selected wavelength or range of wavelengths, by using an illuminator 32 that only outputs the selected wavelength or range of wavelengths, or be introducing one or more wavelength specific filters (not shown) into the optical path 31 between the illuminator 32 and the substrate 10.
Illuminator 32 is provided with a set of focusing optics (not shown) that may focus the light output by illuminator 32 to a desired location along the optical path 31. As those skilled in the art will appreciate, focusing optics define a depth of focus for illuminating light that may be moved along the optical path 31 by adjusting the focusing optics. Focusing optics may include one or more refractive or reflective optical elements (not shown) that are adjustable to select both a desired depth of focus and a desired nominal focal plane position. Focusing optics may also provide a fixed depth of focus while retaining the ability to translate the focal plane along the optical axis.
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Using the prior art inspection system 1 shown in
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In the same vein,
Other ways in which the scattering angle of light returned from the substrate 10 may be differentiated is to move the collecting optic 3 vertically with respect to the substrate whilst maintaining the focal spot in a desired position. This relative movement may change the range of scattering angles of scattered light that are directed to the detector. Further, one may form the collecting optic 3 with regions having different elliptical foci or major/minor axis lengths (not shown).
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Those skilled in the art will appreciate that the focal position 34 of the scanner 30 defines a discrete space having dimensions measured along and normal to the optical path 31. The vertical dimension of the focal position 34 is also referred to as the depth of field or focal depth. The lateral extent of the focal position 34 is referred to as the spot size. These dimensions are a function of the index of refraction of the optical elements that make up the focusing optics, the medium through which light from the source 32 propagates (typically air) and the material of the substrate 10. Further, design choices may affect the magnitude of both the spot size and the depth of field. In one embodiment the spot size of the scanner 30 is approximately 20-30μ in diameter. In some embodiments it is useful to have a larger spot size of up to approximately 300μ in diameter. The depth of focus of the focal position 34 may be approximately 100-200μ in some embodiments. Regardless, one may achieve a scanning resolution with the scanner 30 of the present invention that is related to the dimensions of the selected focal position 34 and to more practical considerations such as the time available for scanning of a substrate. Also to be considered is the nature of the defect 18 that is the primary subject of the investigation of the substrate 10.
Scanning by scanner 30 is preferably conducted on a layer-by-layer basis, i.e. all measurements are conducted over the entire or selected regions of the substrate 10 at a given Z axis position whereafter the Z axis position is modified and all necessary measurements are again taken at the new Z axis position. As shown in
While the foregoing discussion of the positioning and spacing of the focal positions 34 at measurement has mostly assumed a layered scanning pattern in a rectilinear or radial arrangement, it is also possible to use other arrangements such as a spiral or helical scan pattern. For example, depending on the nature of the substrate 10 that is under test, one may adopt a 3D arrangement of the focal positions 34 during measurement that is best described by one of the Miller Indices most often used to describe the planes within a crystalline structure. Examples may include (100), (010), (001), (
Information input to the controller regarding the substrate 10 may include the basic geometry of the substrate including material, diameter, thickness, and orientation. The presence and geometry of alignment structures such as a flat 11a or a notch 11b may also be related. The product setup step 50 ensures that the scanner 30 and automation such as necessary handlers (not shown) and stages (not shown) are prepared to inspect substrates 10 in an efficient manner. Note that the product setup step 50 is part of a step called recipe creation that may also include the next, scan set up step 52.
The scan setup step 52 at least partially uses information obtained during the product setup step 50 to conduct the operations of the scanner 30 in a manner that provides useful results. Additional information may be input or generated at scan setup step 52 to ensure acceptable performance. Among the additional data that may be input and/or generated at the scan setup step 52 are defect characteristics such as geometry, product characteristics including information on subsequent process steps such as back grinding and information relating to time/throughput or data processing/communication constraints that may affect whether the scan merely samples a substrate 10 or inspects substantially all of the substrate 10. In addition, models that identify measured scattered light as being representative of a defect or not are generated and/or modified during the scan setup step 52. In particular, models may have to be updated to account for refraction that takes place within the body of the substrate 10, particularly where a substrate 10 is comprised of one or more layers of discrete materials. Note that substrates 10 may include, but are not limited to substrates such as silicon wafers, thermal oxide wafers, SOI (silicon on insulator) wafers, Ge wafers, GaAs wafers, InGaAs wafers, InAs wafers, 3˜5 group wafers, 2˜6 group wafer, epitaxial wafers, sapphire wafers, SiC wafers, ZnO wafers, MgO wafers, SrTiO3 wafers, single crystal wafers, quartz wafers, glass wafers, ceramic wafers and the like. In addition, in step 52 the scan pattern at which the scanner 30's focal position 34 will be positioned is also selected as described above.
In some embodiments steps 50 and 52 may be combined into a single step. For example, where a given substrate 10 is substantially similar to previously inspected substrates, previously generated product and scan setup data and steps may be used with the new substrates 10. In the same vein, it may be desirable to update or modify scan setups (step 52) from time to time, even where an existing product setup (step 50) may be used unchanged. This may be due to slight modifications in the substrates 10 themselves or due to a desire to refine and make more effective a model used to identify defects. Such models may in these cases be remade wholly or simply modified to account for new information or slight modifications in the substrates 10.
It is also to be understood that steps 50 and 52 may at times be referred to as recipe creation. A recipe is the set of all instructions and that is needed to successfully inspect, measure, or process a substrate 10. A complete recipe may be the result of the product and scan setup steps 50 and 52. However recipes may be simple or complex and may require additional information or order additional steps or analysis that are not explicitly part of steps 50 and 52 of the present invention as described herein.
Based at least in part on the product setup (step 50), during the capture scan data step 54, the substrate 10 and/or the scanner 30 are moved relative to one another so that the scanner 30 directs illumination onto the substrate 10 and data concerning how the substrate 30 scatters light at the selected focal positions 34 is measured. As described above, each measurement is at a discrete position in the 3D space (Cartesian or radial coordinate systems) defined by and including the exterior surfaces of the substrate 10. At a minimum, during step 54 the intensity of scattered light at each of the selected positions is measured and recorded together with the position of the focal position 34 when the measurement is taken.
Once measurements have been made, the collected data is used to identify defects (step 56), if any exist. In one embodiment, aspects of a model are compared with the measured scattered light and a binary determination of whether a defect is present is made. In another embodiment, aspects of a model are compared with the measured scattered light and characteristics of the substrate 10 at the focal position are determined. Depending on the nature of the determined characteristics, one may be able to determine the presence of a defect and discern some additional information such as, for example, the size or structure of the defect. In one example, it may be possible to discern whether a defect is a void in the substrate 10 or a crack in the surface of the substrate 10. Further, depending on the density of the scan, it may be possible to delineate the extent of a single defect in the substrate 10. It may also be possible to determine a density and spatial location or pattern of defects within the volume of the substrate 10.
In step 58 the information determined in step 56 is reported to at least one of a human user of the scanner 30 or to another computer or database (not shown). The reporting of data may be visual and or auditory such as by way of a video screen, paper, or by audible and/or visual alarms present on a screen or on a light tower (not shown) visible to a human user. The reportage of data may take place locally in the same location of the scanner 30 or may be conducted via wired or wireless network to a location remote from the scanner 30.
While it is often the case that steps 56 and 58 are carried out by or with the controller (not shown) that is coupled to the scanner 30, it is to be understood that the analysis and reportage of data embodied in these steps may take place remote from the scanner 30. In this embodiment data from the scanner 30 may be communicated to a secondary controller via a suitable network. This second controller, provided with suitable input/output capabilities as well as analysis and memory capabilities, may carry out steps 56 and 58 remotely. Further, it is possible to utilize a secondary controller to carry out steps 56 and 58 for a plurality of scanners 30.
While various examples were provided above, the present invention is not limited to the specifics of the examples. Although specific embodiments of the present invention have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that any arrangement that is calculated to achieve the same purpose may be substituted for the specific embodiments shown. Many adaptations of the invention will be apparent to those of ordinary skill in the art. Accordingly, this application is intended to cover any adaptations or variations of the invention. It is manifestly intended that this invention be limited only by the following claims and equivalents thereof.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US2015/026801 | 4/21/2015 | WO | 00 |
| Number | Date | Country | |
|---|---|---|---|
| 61982197 | Apr 2014 | US |