AUTOMATED LITHOGRAPHIC HOT SPOT DETECTION EMPLOYING UNSUPERVISED TOPOLOGICAL IMAGE CATEGORIZATION

Patent №

US 8,453,075

Granted

2013-05-28

Filed 2011

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13224402

A method for proactively preventing lithographic problems is disclosed, which employs information generated from layout patterns including hot spots in a first technology node to identify hot spots in a second technology node employing a scaled down minimum dimension. In this proactive approach, problematic patterns or complex product geometries are identified in a chip design layout of the second technology node based on detection, in the chip design layout, of topological features that are similar to topological features of known hot spots in the first technology node. The identified patterns are potential hot spots in the chip design layout for the second technology node. Known hot spots in layout patterns in the first technology node are topologically categorized to provide a database for performing the fault detection and diagnosis on the chip design layout.

AI classification

Vision0.99
Knowledge representation0.62
Planning0.04
AI hardware0.00
Machine learning0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 268490033

Assignors

GUO, WEI, LESLIE, ALAN J.

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

From the same owner

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