Technique for inspecting semiconductor wafers
US-10636140-B2 · Apr 28, 2020 · US
US11301983B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11301983-B2 |
| Application number | US-202016995077-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 17, 2020 |
| Priority date | May 18, 2017 |
| Publication date | Apr 12, 2022 |
| Grant date | Apr 12, 2022 |
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An improved technique for determining height difference in patterns provided on semiconductor wafers uses real measurements (e.g., measurements from SEM images) and a height difference determination model. In one version of the model, a measurable variable of the model is expressed in terms of a function of a change in depth of shadow (i.e. relative brightness), wherein the depth of shadow depends on the height difference as well as width difference between two features on a semiconductor wafer. In another version of the model, the measurable variable is expressed in terms of a function of a change of a measured distance between two characteristic points on the real image of a periodic structure with respect to a change in a tilt angle of a scanning electron beam.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method comprising: obtaining a shadow model having a variable expressed as a function of height difference between features of a device at different locations on a semiconductor wafer, wherein the shadow model represents height-dependent shadowing associated with the features; determining values of one or more parameters of the shadow model from measurement data obtained from images of the features; and determining, by a computer processor, the height difference between the features using the determined values of the one or more parameters applied to the shadow model. 2. The method of claim 1 , further comprising: determining coefficients of the one or more parameters of the shadow model by statistical analysis of the measurement data. 3. The method of claim 1 , further comprising: using a scanning electron microscope (SEM) to obtain the images of the features; and performing measurements on the images to obtain the measurement data. 4. The method of claim 1 , wherein the features of the device comprise a core trench and a gap trench. 5. The method of claim 4 , wherein the core trench and the gap trench are part of a periodic structure. 6. The method of claim 1 , wherein an additional parameter of the shadow model is a width difference between the features of the device at the different locations on the semiconductor wafer. 7. The method of claim 6 , wherein the variable of the shadow model is expressed as a function of a change in depth of shadow, wherein the change in depth of shadow depends on the height difference as well as width difference between the features of the device. 8. A system comprising: a memory; a processing device, operatively coupled with the memory, to: obtain a shadow model having a variable expressed as a function of height difference between features of a device at different locations on a semiconductor wafer, wherein the shadow model represents height-dependent shadowing associated with the features; determine values of one or more parameters of the shadow model from measurement data obtained from images of the features; and determine the height difference between the features using the determined values of the one or more parameters applied to the shadow model. 9. The system of claim 8 , wherein the processing device is further to: determine coefficients of the one or more parameters of the shadow model by statistical analysis of the measurement data. 10. The system of claim 8 , wherein the processing device is further to: receive the images of the feature from a scanning electron microscope (SEM); and perform measurements on the images to obtain the measurement data. 11. The system of claim 8 , wherein the features of the device comprise a core trench and a gap trench. 12. The system of claim 11 , wherein the core trench and the gap trench are part of a periodic structure. 13. The system of claim 8 , wherein an additional parameter of the shadow model is a width difference between the features of the device at the different locations on the semiconductor wafer. 14. The system of claim 13 , wherein the variable of the shadow model is expressed as a function of a change in depth of shadow, wherein the change in depth of shadow depends on the height difference as well as width difference between the features of the device. 15. A non-transitory computer readable medium comprising instructions that, when executed by a computer, cause the computer to perform operations comprising: obtaining a shadow model having a variable expressed as a function of height difference between features of a device at different locations on a semiconductor wafer, wherein the shadow model represents height-dependent shadowing associated with the features; determining values of one or more parameters of the shadow model from measurement data obtained from images of the features; and determining, by a computer processor, the height difference between the features using the determined values of the one or more parameters applied to the shadow model. 16. The non-transitory computer readable medium of claim 15 , the operations further comprising: determining coefficients of the one or more parameters of the shadow model by statistical analysis of the measurement data. 17. The non-transitory computer readable medium of claim 15 , wherein the features of the device comprise a core trench and a gap trench. 18. The non-transitory computer readable medium of claim 17 , wherein the core trench and the gap trench are part of a periodic structure. 19. The non-transitory computer readable medium of claim 15 , wherein an additional parameter of the shadow model is a width difference between the features of the device at the different locations on the semiconductor wafer. 20. The non-transitory computer readable medium of claim 19 , wherein the variable of the shadow model is expressed as a function of a change in depth of shadow, wherein the change in depth of shadow depends on the height difference as well as width difference between the features of the device.
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