Flexible hybrid defect classification for semiconductor manufacturing

Hybrid methods for classifying defects in semiconductor manufacturing are provided. The methods include applying a flexible sequence of rules for defects to inspection data. The sequence of rules includes deterministic rules, statistical rules, hybrid rules, or some combination thereof. The rules in...

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Hauptverfasser: KOWALSKI MICHAL, GAO LISHENG, TRIBBLE ARIEL, MCCAULEY SHARON, ZHANG JIANXIN, KULKARNI ASHOK, HUET PATRICK, BHAGWAT SANDEEP, CAMPOCHIARO CECELIA ANNE, WU KENONG, KINI VIVEKANAND, SHANBHAG MARUTI, RANDALL DAVID, HUANG TONG
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creator KOWALSKI MICHAL
GAO LISHENG
TRIBBLE ARIEL
MCCAULEY SHARON
ZHANG JIANXIN
KULKARNI ASHOK
HUET PATRICK
BHAGWAT SANDEEP
CAMPOCHIARO CECELIA ANNE
WU KENONG
KINI VIVEKANAND
SHANBHAG MARUTI
RANDALL DAVID
HUANG TONG
description Hybrid methods for classifying defects in semiconductor manufacturing are provided. The methods include applying a flexible sequence of rules for defects to inspection data. The sequence of rules includes deterministic rules, statistical rules, hybrid rules, or some combination thereof. The rules included in the sequence may be selected by a user using a graphical interface. The method also includes classifying the defects based on results of applying the sequence of rules to the inspection data.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
title Flexible hybrid defect classification for semiconductor manufacturing
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