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

    Research outputpeer-review


    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
    StatePublished - Oct 2008
    EventFourth International Conference on Multiscale Materials Modeling - The Department of Scientific Computing, Florida State University, Tallahassee, Florida
    Duration: 27 Oct 200831 Oct 2008


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

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