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US Patent 11415897 Calibrating stochastic signals in compact modeling

Patent 11415897 was granted and assigned to Synopsys on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Synopsys
Synopsys
1
Current Assignee
Synopsys
Synopsys
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
114158971
Patent Inventor Names
Yudhishthir Prasad Kandel1
Zachary Adam Levinson1
Ulrich Welling1
Date of Patent
August 16, 2022
1
Patent Application Number
173391791
Date Filed
June 4, 2021
1
Patent Citations Received
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US Patent 11996265 System and method for generating and analyzing roughness measurements and their use for process monitoring and control
2
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US Patent 11664188 Edge detection system
3
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US Patent 11670480 System and method for generating and analyzing roughness measurements
4
Patent Primary Examiner
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Christina A Riddle
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CPC Code
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G06F 30/398
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G06F 30/20
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G06F 30/23
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G06F 30/39
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G06F 30/367
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G06F 30/373
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G06F 30/30
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G06F 30/327
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Calibrating stochastic signals in compact modeling is provided by obtaining data of process variations in producing a resist mask; calibrating a continuous compact model of the resist mask based on the data; evaluating the continuous compact model against a stochastic compact model that is based on the data; choosing a functional description of an edge location distribution for the stochastic compact model; mapping image parameters from the evaluation to edge distribution parameters according to the functional description; determining an edge location range for the stochastic compact model based on scaled measurements from the image parameters; calibrating a threshold for the resist mask and updating parameters of the stochastic compact model to reduce a difference between the data and a modeled Line Edge Roughness (LER) value; and outputting the stochastic compact model.

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