New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence.

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Abstract

In this short proceedings paper, we very briefly described the methodology of our new Artificial Intelligence (AI) based approach to study the kinetics of migration of point-defects in Fe based bcc alloys. Examples of successful AI regression of the Vacancy Migration Energy are shown, thus highlighting the interest of the method. Finally, our first results in the modeling of self-interstitials migration are presented.

Details

Original languageEnglish
Title of host publicationProceedings of the Fourth International Conference on Multiscale Materials Modeling
Place of PublicationTallahassee, FL, United States
Publication statusPublished - Oct 2008
EventFourth International Conference on Multiscale Materials Modeling - The Department of Scientific Computing, Florida State University, Tallahassee, Florida, United States
Duration: 27 Oct 200831 Oct 2008

Conference

ConferenceFourth International Conference on Multiscale Materials Modeling
CountryUnited States
CityTallahassee, Florida
Period2008-10-272008-10-31

Keywords

  • Artificial Intelligence, Atomistic Kinetic Monte Carlo, Vacancy Migration Energy

ID: 367832