Range-based real-time scanning electron microscope non-visual binner

US9947596B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9947596-B2
Application numberUS-201615227698-A
CountryUS
Kind codeB2
Filing dateAug 3, 2016
Priority dateAug 5, 2015
Publication dateApr 17, 2018
Grant dateApr 17, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A technique to identify non-visual defects, such as SEM non-visual defects (SNVs), includes generating an image of a layer of a wafer, evaluating at least one attribute of the image using a classifier, and identifying the non-visual defects on the layer of the wafer. A controller can be configured to identify the non-visual defects using the classifier. This controller can communicate with a defect review tool, such as a scanning electron microscope (SEM).

First claim

Opening claim text (preview).

What is claimed is: 1. A system comprising: a defect review tool, wherein the defect review tool has a stage configured to clamp a wafer; and a controller configured to communicate with the defect review tool, wherein the controller is configured to identify a non-visual defect on a layer of the wafer using a classifier, wherein the controller identifies the non-visual defect by using the classifier to filter at least one of topographical defects, intensity attributes, or energy attributes, wherein the topographical defects include a particle or a scratch, wherein the intensity attributes include a residue or a scum, and wherein the energy attributes include a void. 2. The system of claim 1 , wherein the controller comprises a processor configured to communicate with the defect review tool, a storage device in electronic communication with the processor containing the classifier, and a communication port in electronic communication with the processor for communicating with the defect review tool. 3. The system of claim 1 , wherein the defect review tool is a scanning electron microscope (SEM). 4. The system of claim 1 , wherein the non-visual defect is an SEM non-visual defect (SNV). 5. The system of claim 1 , wherein the classifier is configured to filter the topographical defects. 6. The system of claim 1 , wherein the classifier is configured to filter the intensity attributes. 7. The system of claim 1 , wherein the classifier is configured to filter the energy attributes. 8. A method comprising: generating, using a defect review tool, an image of a layer on a wafer; evaluating, using a processor, at least one attribute of the image using a classifier; and identifying, using the processor, a non-visual defect on the layer of the wafer using the classifier, wherein the processor identifies the non-visual defect by using the classifier to filter at least one of topographical defects, intensity attributes, or energy attributes, wherein the topographical defects include a particle or a scratch, wherein the intensity attributes include a residue or a scum, and wherein the energy attributes include a void. 9. The method of claim 8 , further comprising defining, using the processor, an upper limit and lower limit for non-visual defects, wherein the non-visual defect that is identified is between the upper limit and the lower limit. 10. The method of claim 8 , wherein the classifier filters the topographical defects. 11. The method of claim 8 , wherein the classifier filters the intensity attributes. 12. The method of claim 8 , wherein the classifier filters the energy attributes. 13. The method of claim 8 , wherein the classifier is configured to be used on each layer of the wafer. 14. The method of claim 8 , wherein the generating uses a scanning electron microscope (SEM). 15. The method of claim 8 , wherein the non-visual defect is an SEM non-visual defect (SNV). 16. The method of claim 8 , wherein the comparing and identifying may be performed in real-time with the generating.

Assignees

Inventors

Classifications

  • Pattern inspection · CPC title

  • Inspection and quality control of devices · CPC title

  • Non-SPM analysing devices, e.g. SEM [Scanning Electron Microscope], spectrometer or optical microscope · CPC title

  • Semiconductor wafers (manufacturing processes per se of semiconductor devices implementing a measuring step H10P74/20) · CPC title

  • Specially adapted optical and illumination features · CPC title

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What does patent US9947596B2 cover?
A technique to identify non-visual defects, such as SEM non-visual defects (SNVs), includes generating an image of a layer of a wafer, evaluating at least one attribute of the image using a classifier, and identifying the non-visual defects on the layer of the wafer. A controller can be configured to identify the non-visual defects using the classifier. This controller can communicate with a de…
Who is the assignee on this patent?
Kla Tencor Corp
What technology area does this patent fall under?
Primary CPC classification G01N21/9501. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 17 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).