YIELD BASED, IN-LINE DEFLECT SAMPLING METHOD

Patent №

US 6,265,232

Granted

2001-07-24

Filed 1998

Owner

MICRON TECHNOLOGY, INC.

Lab

AI components

4

ml · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09138295

A test method provides a sample of wafer level defects most likely to cause yield loss on a semiconductor wafer subdivided into a plurality of integrated circuits (IC's). Defect size and location data from an inspection tool is manipulated in an algorithm based on defect sizes and geometry parameters. The defects are classified by defect size to form size based populations The contribution of each size range of defect population to yield loss is calculated and random samples for review are selected from each defect size population. The number of samples from each size defect population is proportional to the predicted yield impact of each sample. The method is rapid and permits on-line process modification to reduce yield losses.

AI classification

Knowledge representation0.95
Planning0.93
Vision0.60
Machine learning0.58
Evolutionary computation0.01
Natural language0.00
AI hardware0.00
Speech0.00

Ownership

MICRON TECHNOLOGY, INC.

assignment · 94070955

Assignors

SIMMONS, STEVEN J.

On an employer assignment, the assignors are typically the inventors.

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