The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 07, 2021

Filed:

Sep. 19, 2018
Applicant:

Mentor Graphics Corporation, Wilsonville, OR (US);

Inventors:

Jea Woo Park, Wilsonville, OR (US);

Juan Andres Torres Robles, Wilsonville, OR (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 30/398 (2020.01); G06F 30/18 (2020.01); G03F 7/20 (2006.01); G06N 20/00 (2019.01); G06F 30/20 (2020.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06F 30/398 (2020.01); G03F 7/705 (2013.01); G03F 7/70433 (2013.01); G06F 30/18 (2020.01); G06N 20/00 (2019.01); G06F 30/20 (2020.01);
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.


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