MACHINE AND DEEP LEARNING METHODS FOR SPECTRA-BASED METROLOGY AND PROCESS CONTROL
A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scat...
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Main Authors | , , , , , |
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Format | Patent |
Language | English |
Published |
19.09.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scatterometric training data measured after implementation of the process step, and receiving a set of process control knob training data indicative of process control knob settings applied during implementation of the process step; and generating a machine learning model correlating variations in the pre-process sets of scatterometric training data and the corresponding process control knob training data with the corresponding post-process sets of scatterometric training data, to train the machine learning model to recommend changes to process control knob settings to compensate for variations in the pre-process scatterometric data. |
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Bibliography: | Application Number: US202318508177 |