Invention Grant
- Patent Title: Hotspot detection based on litho-aware machine learning
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Application No.: US16135236Application Date: 2018-09-19
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Publication No.: US11113445B2Publication Date: 2021-09-07
- Inventor: Jea Woo Park , Juan Andres Torres Robles
- Applicant: Mentor Graphics Corporation
- Applicant Address: US OR Wilsonville
- Assignee: Mentor Graphics Corporation
- Current Assignee: Mentor Graphics Corporation
- Current Assignee Address: US OR Wilsonville
- Main IPC: G06F30/398
- IPC: G06F30/398 ; G06F30/18 ; G03F7/20 ; G06N20/00 ; G06F30/20 ; G06N20/10

Abstract:
Aspects of the disclosed technology relate to techniques of hotspot detection. Pinching-type hotspot candidates and bridging-type hotspot candidates are first identified in the layout design based on predetermined criteria. Simulation is then performed to derive aerial image intensity values for a plurality of sites on each of the pinching-type and bridging-type hotspot candidates. Pinching-type hotspots are determined from the pinching-type hotspot candidates based on one or more machine learning models for pinching-type hotspots, and bridging-type hotspots are determined from the bridging-type hotspot candidates based on one or more machine learning models for bridging-type hotspots. The input vector for the machine learning models is the aerial image intensity values for the plurality of sites.
Public/Granted literature
- US20190087526A1 Hotspot Detection Based On Litho-Aware Machine Learning Public/Granted day:2019-03-21
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