YIELD ANALYSIS AND IMPROVEMENT USING ELECTRICAL SENSITIVITY EXTRACTION

Patent №

US 7,574,682

Granted

2009-08-11

Filed 2007

Owner

FREESCALE SEMICONDUCTOR, INC.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11680012

A method and apparatus are described for determining an accurate yield prediction for an integrated circuit by combining conventional yield loss analysis (such as extracted from physical dimension information concerning a circuit layout) with extracted electrical sensitivity and/or functional sensitivity information for circuit elements (such as nets connecting logic blocks or other signal lines) to obtain an actual performance-based probability of failure (POF) for the overall circuit.

Machine learningG06F 30/39G06F 2111/08

AI classification

Machine learning0.82
AI hardware0.17
Knowledge representation0.08
Evolutionary computation0.02
Planning0.01
Natural language0.00
Vision0.00
Speech0.00

Ownership

FREESCALE SEMICONDUCTOR, INC.

assignment · 189400430

Assignors

RIVIERE-CAZAUX, LIONEL J.

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

From the same owner

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