Applications of Artificial Intelligence to Semiconductor Modeling

From Tetherless World Wiki

Jump to: navigation, search

Citation: John L. Mohammed and Paul Losleben. (1993) Applications of Artificial Intelligence to Semiconductor Modeling. In KSL-93-63, October,1993.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author John L. Mohammed and Paul Losleben
title Applications of Artificial Intelligence to Semiconductor Modeling
number KSL-93-63
institution Knowledge Systems, AI Laboratory
year 1993
month October
Bibtex more
note submitted to IEEE Trans. Semicond. Manuf. Stanford Integrated Circuits Lab., Manuf. Sci Tech. Note Series No. 5.
Access Paper
abstract Most of the research performed over the past twenty years in semiconductor process modeling has relied on fairly conventional methods of scientific programming. While these are adequate for many simulation and analysis applications, the more complex problems of synthesis and diagnosis suggest the need for alternative approaches to modeling. This paper examines the breadth of potential applications of artificial intelligence (AI) to synthesis and diagnosis. Successful application of AI to this field is sparce, but enough specific examples exist to suggest high potential for future use of the approaches that are described. The paper identifies tasks in semiconductor modeling which are candidates for application of AI methodology, catalogs appropriate methodology and surveys applications at the current state-of-the-art.

KSL Technical Report ID: KSL-93-63
Facts about Applications of Artificial Intelligence to Semiconductor ModelingRDF feed
Abstract Most of the research performed over the pa … Most of the research performed over the past twenty years in semiconductor process modeling has relied on fairly conventional methods of scientific programming. While these are adequate for many simulation and analysis applications, the more complex problems of synthesis and diagnosis suggest the need for alternative approaches to modeling. This paper examines the breadth of potential applications of artificial intelligence (AI) to synthesis and diagnosis. Successful application of AI to this field is sparce, but enough specific examples exist to suggest high potential for future use of the approaches that are described. The paper identifies tasks in semiconductor modeling which are candidates for application of AI methodology, catalogs appropriate methodology and surveys applications at the current state-of-the-art. lications at the current state-of-the-art.
Author John L. Mohammed and Paul Losleben  +
Bibtype techreport  +
Has author John L. Mohammed and Paul Losleben  +
Has identifier KSL-93-63  +
Has publishing details October,1993  +
Has title Applications of Artificial Intelligence to Semiconductor Modeling  +
Has where published KSL-93-63  +
Has year 1993  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-93-63  +
Month October  +
Note submitted to IEEE Trans. Semicond. Manuf. Stanford Integrated Circuits Lab., Manuf. Sci Tech. Note Series No. 5.
Number KSL-93-63  +
Process note NO  +
Title Applications of Artificial Intelligence to Semiconductor Modeling  +
Year 1993  +
Retrieved from "http://tw.rpi.edu/wiki/Applications_of_Artificial_Intelligence_to_Semiconductor_Modeling"
Personal tools