Giovanni Bonny

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Bonny, Giovanni

  • Structural Materials

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  1. 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 journal › Article › peer-review

  2. 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 journal › Article › peer-review

  3. 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 proceedings › In-proceedings paper › peer-review

  4. 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 journal › Article › peer-review

  5. 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 journal › Article › peer-review

  6. Atomistic kinetic Monte Carlo simulation of precipitation and segregation in metals for nuclear applications, using a novel methodology based on artificial neural networks

    Castin, N., Malerba, L., Terentyev, D. & Bonny, G., Jun 2011, Brussels, Belgium: ULB - Université Libre de Bruxelles. 252 p.

    Research output: Thesis › Doctoral thesis

  7. 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 proceedings › In-proceedings paper › peer-review

  8. Prediction of point-defect migration energy barriers in alloys using artificial intelligence for atomistic kinetic Monte Carlo applications

    Castin, N., Malerba, L. & Bonny, G., Jun 2009, In: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 267, p. 3148-3151

    Research output: Contribution to journal › Article › peer-review

  9. Calculation of proper energy barriers for atomistic kinetic Monte Carlo simulations on rigid lattice with chemical and strain field long-range effects using artificial neural networks

    Castin, N., Malerba, L., Terentyev, D. & Bonny, G., 21 Feb 2010, In: The Journal of Chemical Physics. 132, 7, p. 074507-074507

    Research output: Contribution to journal › Article › peer-review

  10. On the onset of void swelling in pure tungsten under neutron irradiation: An object kinetic Monte Carlo approach

    Castin, N., Bakaev, A., Bonny, G., Malerba, L. & Terentyev, D., 17 Jun 2017, In: Journal of Nuclear Materials.

    Research output: Contribution to journal › Article › peer-review

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