Methodology for post-integration awareness in optical proximity correction

US10386715B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10386715-B2
Application numberUS-201715730830-A
CountryUS
Kind codeB2
Filing dateOct 12, 2017
Priority dateOct 12, 2017
Publication dateAug 20, 2019
Grant dateAug 20, 2019

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Abstract

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A method of creating an optical proximity correction (OPC) model and assessing the model through optical rule checking (ORC) includes the introduction of post-integration, i.e., post-metallization data. High density critical dimension scanning electron microscopy and backscattered electron scanning electron microscopy from a metallized structure are used during development and verification of the model to accurately predict post-integration behavior.

First claim

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What is claimed is: 1. A method of verifying an optical proximity correction (OPC) rule set, comprising: collecting critical dimension scanning electron microscope (CDSEM) data from a post-integration structure, wherein the post-integration structure includes: a first metal level having a first conductive structure, and a second metal level above the first metal level and having a second conductive structure horizontally separated from the first conductive structure; constructing a post-integration OPC model using the post-integration CDSEM data; performing optical rule checking (ORC) on the optical proximity correction (OPC) rule set using the post-integration OPC model to identify post-integration weak points within the structure, wherein at least one of the post-integration weak points includes a bridge defect between the first conductive structure and the second conductive structure; verifying the post-integration weak points to create a verified OPC rule set; and producing a photomask using the verified OPC rule set. 2. The method of claim 1 , wherein the CDSEM data comprises a backscattered critical dimension scanning electron microscope (BSE CDSEM) compositional image including the first metal level and the second metal level. 3. The method of claim 1 , wherein the post-integration CDSEM data corresponds to a metal trench pattern. 4. The method of claim 1 , wherein the first conductive structure includes a lower metal wire, and wherein the second conductive structure includes an upper via. 5. The method of claim 4 , wherein verifying the post-integration weak points comprises measuring a distance between a top surface of the lower metal wire and a bottom surface of the upper via within the structure. 6. The method of claim 5 , wherein the measured distance includes a horizontal component and a vertical component. 7. The method of claim 1 , wherein verifying the post-integration weak points utilizes at least one metrology technique selected from a group consisting of high energy critical dimension scanning electron microscopy, transmission electron microscopy and electron beam spectroscopy. 8. A method of verifying an optical proximity correction (OPC) rule set, comprising: collecting image data from a post-integration structure, wherein the post-integration structure includes: a first metal level having a first conductive structure, and a second metal level above the first metal level and having a second conductive structure horizontally separated from the first conductive structure; generating a post-integration OPC model using the image data of the post-integration structure; performing optical rule checking (ORC) on the optical proximity correction (OPC) rule set using the post-integration OPC model to identify post-integration weak points within the structure, wherein at least one of the post-integration weak points includes a bridging region between the first conductive structure and the second conductive structure; modifying the OPC rule set to correct for the identified post-integration weak points; and producing a photomask using the modified OPC rule set. 9. The method of claim 8 , wherein the image data of the post-integration structure comprises a backscattered critical dimension scanning electron microscope (BSE CDSEM) image. 10. The method of claim 8 , wherein the image data of the post-integration structure corresponds to a metal trench pattern. 11. The method of claim 8 , wherein the first conductive structure includes a lower metal wire, and wherein the second conductive structure includes an upper via. 12. The method of claim 11 , further comprising verifying the post-integration weak points. 13. The method of claim 12 , wherein verifying the post-integration weak points comprises measuring a distance between a top surface of the lower metal wire and a bottom surface of the upper via within the structure. 14. The method of claim 13 , wherein the measured distance includes a horizontal component and a vertical component. 15. The method of claim 12 , wherein verifying the post-integration weak points utilizes at least one metrology technique selected from a group consisting of high energy critical dimension scanning electron microscopy, transmission electron microscopy and electron beam spectroscopy.

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Classifications

  • G03F1/36Primary

    Masks having proximity correction features; Preparation thereof, e.g. optical proximity correction [OPC] design processes · CPC title

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What does patent US10386715B2 cover?
A method of creating an optical proximity correction (OPC) model and assessing the model through optical rule checking (ORC) includes the introduction of post-integration, i.e., post-metallization data. High density critical dimension scanning electron microscopy and backscattered electron scanning electron microscopy from a metallized structure are used during development and verification of t…
Who is the assignee on this patent?
Globalfoundries Inc
What technology area does this patent fall under?
Primary CPC classification G03F1/36. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 20 2019 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).