Invention Grant
- Patent Title: Obtaining a mask using a cost function gradient from a jacobian matrix generated from a perturbation look-up table
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Application No.: US17339174Application Date: 2021-06-04
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Publication No.: US11644747B2Publication Date: 2023-05-09
- Inventor: Thomas Cecil
- Applicant: Synopsys, Inc.
- Applicant Address: US CA Mountain View
- Assignee: Synopsys, Inc.
- Current Assignee: Synopsys, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Patterson + Sheridan, LLP
- The original application number of the division: US16900237 2020.06.12
- Main IPC: G03F1/00
- IPC: G03F1/00 ; G03F1/70 ; G03F1/44 ; G06F17/16 ; G06F17/10

Abstract:
Aspects described herein relate to obtaining a mask pattern using a cost function gradient (CFG) generated from a Jacobian matrix generated from a perturbation look-up table (PLT). In an example method, a PLT is populated (108). Each table entry of the PLT is based on a respective perturbed intensity signal. The respective perturbed intensity signal is based on a simulated signal received at an image surface using a mask pattern having a perturbed element of the mask pattern. The mask pattern is for a design of an integrated circuit. A matrix is populated (110) using the PLT and a target intensity signal. The target intensity signal is based on a signal received at the image surface to form target features at the image surface. A CFG is defined (112) based on the matrix. An analysis is performed (114) on the mask pattern based on the CFG.
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