Invention Grant
- Patent Title: Calibrating stochastic signals in compact modeling
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Application No.: US17339179Application Date: 2021-06-04
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Publication No.: US11415897B2Publication Date: 2022-08-16
- Inventor: Zachary Adam Levinson , Yudhishthir Prasad Kandel , Ulrich Welling
- Applicant: Synopsys, Inc.
- Applicant Address: US CA Mountain View
- Assignee: Synopsys, Inc.
- Current Assignee: Synopsys, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Patterson + Sheridan, LLP
- Main IPC: G03F7/20
- IPC: G03F7/20

Abstract:
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.
Public/Granted literature
- US20210382394A1 CALIBRATING STOCHASTIC SIGNALS IN COMPACT MODELING Public/Granted day:2021-12-09
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