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