MACHINE LEARNING BASED MODEL BUILDER AND ITS APPLICATIONS FOR PATTERN TRANSFERRING IN SEMICONDUCTOR MANUFACTURING

A system and a method of optimizing an optical proximity correction (OPC) model for a mask pattern of a photo mask is disclosed. A machine learning (ML) based model builder includes an OPC model, measurement data and a random term generator. Random terms are generated in a M-dimensional space by the...

Full description

Saved in:
Bibliographic Details
Main Authors LEI, Junjiang, YU, Zhiru, PENG, Danping, ZHANG, Lin
Format Patent
LanguageEnglish
Published 08.09.2022
Subjects
APPARATUS SPECIALLY ADAPTED THEREFOR
CALCULATING
CINEMATOGRAPHY
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
ELECTROGRAPHY
HOLOGRAPHY
MATERIALS THEREFOR
ORIGINALS THEREFOR
PHOTOGRAPHY
PHOTOMECHANICAL PRODUCTION OF TEXTURED OR PATTERNED SURFACES,e.g. FOR PRINTING, FOR PROCESSING OF SEMICONDUCTORDEVICES
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:A system and a method of optimizing an optical proximity correction (OPC) model for a mask pattern of a photo mask is disclosed. A machine learning (ML) based model builder includes an OPC model, measurement data and a random term generator. Random terms are generated in a M-dimensional space by the random term generator. The ML based model builder classifies the random terms to clusters by applying a classifying rule. A representative subset of the random terms is determined among the classified clusters, and the representative subset is added to the OPC model.
Bibliography:Application Number: US202117193625