Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Institutes & Expert groups

Documents & links

Abstract

In this short proceedings paper, we briefly described the application of our new Artificial Intelligence (AI) based approach to model the migration of point-defects to the ternary Fe-Ni-Cu alloy. We qualitatively analysed the influence of a small Ni concentration on the kinetics of Cu precipitation in Fe, as predicted by the inter-atomic potential.

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, Vacancy Migration, thermal annealing

ID: 147246