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Journal Articles Journal of Nuclear Materials Year : 2021

Perspectives on multiscale modelling and experiments to accelerate materials development for fusion

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F. Gao
E. Martinez
  • Function : Author

Abstract

Prediction of material performance in fusion reactor environments relies on computational modelling, and will continue to do so until the first generation of fusion power plants come on line and allow long-term behaviour to be observed. In the meantime, the modelling is supported by experiments that attempt to replicate some aspects of the eventual operational conditions. In 2019, a group of leading experts met under the umbrella of the IEA to discuss the current position and ongoing challenges in modelling of fusion materials and how advanced experimental characterisation is aiding model improvement. This review draws from the discussions held during that workshop. Topics covering modelling of irradiation-induced defect production and fundamental properties, gas behaviour, clustering and segregation, defect evolution and interactions are discussed, as well as new and novel multiscale simulation approaches, and the latest efforts to link modelling to experiments through advanced observation and characterisation techniques.
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Dates and versions

cea-03292446 , version 1 (20-07-2021)

Licence

Attribution - NonCommercial - NoDerivatives - CC BY 4.0

Identifiers

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Mark Gilbert, Kazuto Arakawa, Z. Bergstrom, M.J. Caturla, Sergei Dudarev, et al.. Perspectives on multiscale modelling and experiments to accelerate materials development for fusion. Journal of Nuclear Materials, 2021, 554, pp.153113. ⟨10.1016/j.jnucmat.2021.153113⟩. ⟨cea-03292446⟩
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