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公开(公告)号:US10386726B2
公开(公告)日:2019-08-20
申请号:US15720182
申请日:2017-09-29
Applicant: GLOBALFOUNDRIES INC.
Inventor: Liang Cao , Wenchao Jiang , Guoxiang Ning , Jie Zhang
Abstract: Various aspects include vectorization approaches for model-based mask proximity correction (MPC). In some cases, a computer-implemented method includes: assigning a set of vectors to geometry data describing at least one mask for forming an integrated circuit (IC); adjusting a statistical predictive model of the at least one mask based upon the set of vectors and the geometry data; predicting an adjustment to the at least one mask with the statistical predictive model; and adjusting instructions for forming the at least one mask in response to a predicted mask result of the statistical predictive model deviating from a target mask result for the at least one mask.
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2.
公开(公告)号:US20190219933A1
公开(公告)日:2019-07-18
申请号:US15874039
申请日:2018-01-18
Applicant: GLOBALFOUNDRIES INC.
Inventor: Liang Cao , Jed H. Rankin , Jie Zhang , Yulu Chen
Abstract: Embodiments of a method include: converting at least one image of a printed mask to a plurality of representative contours, each corresponding to mask patterns in the printed mask; determining whether the printed mask includes a printing defect based on whether the plurality of representative contours violates a set of contour tolerances for the printed mask; in response to at least one of plurality of representative contours violating at least one of the set of contour tolerances: identifying a location where a representative contour violates the at least one of the set of contour tolerances, and generating an instruction to adjust a layout for the printed mask, based on the violating of the at least one of the set of contour tolerances; and in response to none of the plurality of representative contours violating the set of contour tolerances, flagging a layout for the printed mask as compliant.
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公开(公告)号:US20180322234A1
公开(公告)日:2018-11-08
申请号:US15588984
申请日:2017-05-08
Applicant: GLOBALFOUNDRIES Inc.
Inventor: Liang Cao , Jie Zhang , David N. Power , Eric S. Parent
CPC classification number: G06F17/5036 , G03F1/36 , G06F17/5068 , G06F17/5072 , G06F17/5081 , G06F2217/12
Abstract: Methods according to the disclosure include: predicting process-sensitive geometries (PSGs) in a proposed IC layout based on violations of a set of processing constraints for the proposed IC layout, the set of processing constraints being calculated with a predictive model based on a training data repository having a plurality of optical rule check (ORC) simulations for different IC layouts; identifying actual PSGs in a circuit manufactured using the proposed IC layout; determining whether the predicted PSGs correspond to the actual PSGs in the manufactured circuit as being correct; in response to the predicting being incorrect: adjusting the predictive model based on the actual PSGs, wherein the adjusting includes submitting additional ORC data to the training data repository; and flagging the proposed IC layout as incorrectly predicted; and in response to the predicting being correct, flagging the proposed IC layout as correctly predicted.
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公开(公告)号:US20190101834A1
公开(公告)日:2019-04-04
申请号:US15720182
申请日:2017-09-29
Applicant: GLOBALFOUNDRIES INC.
Inventor: Liang Cao , Wenchao Jiang , Guoxiang Ning , Jie Zhang
CPC classification number: G03F7/70441 , G03F1/36 , G03F7/704 , G05B13/042 , G05B13/048
Abstract: Various aspects include vectorization approaches for model-based mask proximity correction (MPC). In some cases, a computer-implemented method includes: assigning a set of vectors to geometry data describing at least one mask for forming an integrated circuit (IC); adjusting a statistical predictive model of the at least one mask based upon the set of vectors and the geometry data; predicting an adjustment to the at least one mask with the statistical predictive model; and adjusting instructions for forming the at least one mask in response to a predicted mask result of the statistical predictive model deviating from a target mask result for the at least one mask.
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5.
公开(公告)号:US10564554B2
公开(公告)日:2020-02-18
申请号:US15874039
申请日:2018-01-18
Applicant: GLOBALFOUNDRIES INC.
Inventor: Liang Cao , Jed H. Rankin , Jie Zhang , Yulu Chen
IPC: G03F7/20 , G06F17/50 , G03F1/42 , G03F7/26 , G03F9/00 , G03F1/36 , G03F1/84 , G03F1/70 , H01L21/027 , H01L21/66
Abstract: Embodiments of a method include: converting at least one image of a printed mask to a plurality of representative contours, each corresponding to mask patterns in the printed mask; determining whether the printed mask includes a printing defect based on whether the plurality of representative contours violates a set of contour tolerances for the printed mask; in response to at least one of plurality of representative contours violating at least one of the set of contour tolerances: identifying a location where a representative contour violates the at least one of the set of contour tolerances, and generating an instruction to adjust a layout for the printed mask, based on the violating of the at least one of the set of contour tolerances; and in response to none of the plurality of representative contours violating the set of contour tolerances, flagging a layout for the printed mask as compliant.
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公开(公告)号:US10402524B2
公开(公告)日:2019-09-03
申请号:US15588984
申请日:2017-05-08
Applicant: GLOBALFOUNDRIES Inc.
Inventor: Liang Cao , Jie Zhang , David N. Power , Eric S. Parent
Abstract: Methods according to the disclosure include: predicting process-sensitive geometries (PSGs) in a proposed IC layout based on violations of a set of processing constraints for the proposed IC layout, the set of processing constraints being calculated with a predictive model based on a training data repository having a plurality of optical rule check (ORC) simulations for different IC layouts; identifying actual PSGs in a circuit manufactured using the proposed IC layout; determining whether the predicted PSGs correspond to the actual PSGs in the manufactured circuit as being correct; in response to the predicting being incorrect: adjusting the predictive model based on the actual PSGs, wherein the adjusting includes submitting additional ORC data to the training data repository; and flagging the proposed IC layout as incorrectly predicted; and in response to the predicting being correct, flagging the proposed IC layout as correctly predicted.
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