Artificial intelligence applied to simulation of radiation damage in ferritic alloys

Roberto Domingos, Gennaro Cerchiara, Flyura Djurabekova, Lorenzo Malerba, Da Ruan

    Research outputpeer-review


    Molecular dynamics (MD) is the only computational tool that, without any approximation, can be applied to study atomic level phenomena involving radiation-produced point-defects and their evolution driven by mutual interaction. Kinetic Monte Carlo (KMC) is suitable to extend the timeframe of an atomic level simulation to simulate an irradiation process, but all mechanisms involved must be known in advance, e.g. from MD studies. The present work is an effort to integrate artificial intelligence (AI) techniques, essentialy an artificial neural network (ANN) and a fuzzy logic system (FLS), in order to build an adaptive model capable of improving both the physical reliability and the computational efficiency of a KMC model fully parameterised on MD results.
    Original languageEnglish
    Title of host publicationApplied Artificial Intelligence
    Place of PublicationSingapore, Singapore
    StatePublished - Aug 2006
    EventFLINS (Fuzzy Logic and Intelligent technologies in Nuclear Science) - Genova
    Duration: 29 Aug 200631 Aug 2006


    ConferenceFLINS (Fuzzy Logic and Intelligent technologies in Nuclear Science)

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