Applied Materials, Inc.
REAL-TIME ANOMALY DETECTION AND CLASSIFICATION DURING SEMICONDUCTOR PROCESSING
Last updated:
Abstract:
A method of detecting and classifying anomalies during semiconductor processing includes executing a wafer recipe a semiconductor processing system to process a semiconductor wafer; monitoring sensor outputs from a sensors that monitor conditions associated with the semiconductor processing system; providing the sensor outputs to models trained to identify when the conditions associated with the semiconductor processing system indicate a fault in the semiconductor wafer; receiving an indication of a fault from at least one of the models; and generating a fault output in response to receiving the indication of the fault.
Status:
Grant
Type:
Utility
Filling date:
21 Oct 2019
Issue date:
22 Apr 2021