1. Prediction of radiation induced hardening of reactor pressure vessel steels using artificial neural networks

    Castin, N., Malerba, L., Chaouadi, R., Terentyev, D. & Bonny, G., Jan 2011, In : Journal of Nuclear Materials. 408, 1, p. 30-39

    Research output: Contribution to journalArticle

  2. Mobility and stability of large vacancy and vacancy–copper clusters in iron: An atomistic kinetic Monte Carlo study

    Castin, N., Pascuet, M. I., Malerba, L., Terentyev, D. & Bonny, G., Jun 2012, In : Journal of Nuclear Materials. 429, 1-3, p. 315-324

    Research output: Contribution to journalArticle

  3. Use of computational intelligence for the prediction of vacancy migration energies in atomistic kinetic monte carlo simulations

    Castin, N., Domingos, R., Malerba, L., Terentyev, D. & Bonny, G., Dec 2008, In : International Journal of Computational Intelligence Systems. 1, 4, p. 340-352

    Research output: Contribution to journalArticle

  4. Construction of an hybrid Artificial Neural Network - Fuzzy Logic system to perform Atomistic Kinetic Monte Carlo simulations in iron-copper alloys

    Castin, N. & Djurabekova, F., 31 Aug 2006, Mol, Belgium: BNEN - Belgian Nuclear Higher Education Network. 100 p.

    Research output: ThesisMaster's thesis

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

    Castin, N., Bonny, G., Malerba, L. & Terentyev, D., Oct 2008, Proceedings of the Fourth international conference on Multiscale Materials Modeling. Tallahassee, FL, United States

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

  6. Modelling radiation-induced phase changes in binary FeCu and ternary FeCuNi alloys using an artificial intelligence-based atomistic kinetic Monte Carlo approach

    Castin, N., Malerba, L., Bonny, G., Pascuet, I., Hou, M. & Terentyev, D., 15 Sep 2009, In : Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 267, 18, p. 3002-3008

    Research output: Contribution to journalArticle

  7. Modeling the first stages of Cu precipitation in α-Fe using a hybrid atomistic kinetic Monte Carlo approach

    Castin, N., Pascuet, M. I., Malerba, L., Terentyev, D. & Bonny, G., Aug 2011, In : The Journal of Chemical Physics. 135, 6, p. 064502-064502

    Research output: Contribution to journalArticle

  8. Predicting vacancy migration energies in lattice-free environments using artificial neural networks

    Castin, N., J.R., F., R.C., P. & Malerba, L., 5 Dec 2013, In : Computational Materials Science. 84, p. 217-225

    Research output: Contribution to journalArticle

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

    Castin, N., Malerba, L., Bonny, G. & Terentyev, D., Oct 2008, Proceedings of the Fourth International Conference on Multiscale Materials Modeling. Tallahassee, FL, United States

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