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

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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.


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


ConferenceFourth International Conference on Multiscale Materials Modeling
Country/TerritoryUnited States
CityTallahassee, Florida


  • Artificial Intelligence, Vacancy Migration, thermal annealing

ID: 147246