Lam Research Corporation
Defect classification and source analysis for semiconductor equipment
Last updated:
Abstract:
Defects on a substrate comprising electronic components can be classified with a computational defect analysis system that may be implemented in multiple stages. For example, a first stage classification engine may process metrology data to produce an initial classification of defects. A second stage classification engine may use the initial classification, along with manufacturing information and/or prior defect knowledge to output probabilities that the defects are caused by one or more potential sources.
Status:
Grant
Type:
Utility
Filling date:
10 Jan 2019
Issue date:
1 Mar 2022