Nuclear Materials Science

Organisational unit: Institute

  1. Thermal creep properties of Ti-stabilized DIN 1.4970 (15-15Ti) austenitic stainless steel pressurized cladding tubes

    Cautaerts, N., Delville, R., Verwerft, M. & Dietz, W., 10 Jun 2017, In: Journal of Nuclear Materials. 493, 154-167, p. 154-167 14 p.

    Research output: Contribution to journalArticlepeer-review

  2. Tailoring the Ti-C nanoprecipitate population and microstructure of titanium stabilized austenitic steels

    Cautaerts, N., Delville, R., Stergar, E., Schryvers, D. & Verwerft, M., 30 Apr 2018, In: Journal of Nuclear Materials. 507, p. 177-187 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. ALPHABETA - a dedicated open-source tool for calculating TEM stage tilt angles

    Cautaerts, N., Delville, R. & Schryvers, D., 3 Dec 2018, In: Journal of Microscopy. 273, 3, p. 189-198 10 p.

    Research output: Contribution to journalArticlepeer-review

  4. Characterization of (Ti,Mo,Cr)C nanoprecipitates in an austenitic stainless steel on the atomic scale

    Cautaerts, N., Delville, R., Stergar, E., Schryvers, D. & Verwerft, M., 11 Oct 2018, In: Acta Materialia. 164, p. 90-98 9 p.

    Research output: Contribution to journalArticlepeer-review

  5. The role of Ti and TiC nanoprecipitates in radiation resistant austenitic steel: A nanoscale study

    Cautaerts, N., Delville, R., Stergar, E., Pakarinen, J., Verwerft, M., Yang, Y., Schnitzer, R., Lam, S., Felfer, P. & Schryvers, D., 15 Sep 2020, In: Acta Materialia. 197, p. 184-197 14 p.

    Research output: Contribution to journalArticlepeer-review

  6. 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 journalArticlepeer-review

  7. 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 journalArticlepeer-review

  8. 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 journalArticlepeer-review

  9. 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 paperpeer-review

ID: 17733