Perspectives on multiscale modelling and experiments to accelerate materials development for fusion
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 …
modelling, and will continue to do so until the first generation of fusion power plants come on …
Recent advances in modeling and simulation of the exposure and response of tungsten to fusion energy conditions
Under the anticipated operating conditions for demonstration magnetic fusion reactors
beyond ITER, structural and plasma-facing materials will be exposed to unprecedented …
beyond ITER, structural and plasma-facing materials will be exposed to unprecedented …
Outstanding radiation resistance of tungsten-based high-entropy alloys
A body-centered cubic W-based refractory high entropy alloy with outstanding radiation
resistance has been developed. The alloy was grown as thin films showing a bimodal grain …
resistance has been developed. The alloy was grown as thin films showing a bimodal grain …
Enhanced radiation tolerance of the Ni-Co-Cr-Fe high-entropy alloy as revealed from primary damage
High-entropy alloys (HEAs) have received much attention for the development of nuclear
materials because of their excellent irradiation tolerance. In the present study, the …
materials because of their excellent irradiation tolerance. In the present study, the …
Irradiation hardening of pure tungsten exposed to neutron irradiation
X Hu, T Koyanagi, M Fukuda, NAPK Kumar… - Journal of Nuclear …, 2016 - Elsevier
Pure tungsten samples have been neutron irradiated in HFIR at 90–850° C to 0.03–2.2 dpa.
A dispersed barrier hardening model informed by the available microstructure data has …
A dispersed barrier hardening model informed by the available microstructure data has …
In-situ TEM investigation of 30 keV he+ irradiated tungsten: Effects of temperature, fluence, and sample thickness on dislocation loop evolution
Y Li, L Wang, G Ran, Y Yuan, L Wu, X Liu, X Qiu, Z Sun… - Acta Materialia, 2021 - Elsevier
In-situ irradiations with 30 keV He+ were performed on tungsten in an investigation of the
influences of irradiation temperature and fluence, pre-existing dislocation and sample …
influences of irradiation temperature and fluence, pre-existing dislocation and sample …
The evolution of dislocation loop and its interaction with pre-existing dislocation in He+-irradiated molybdenum: in-situ TEM observation and molecular dynamics …
Y Li, G Ran, Y Guo, Z Sun, X Liu, Y Li, X Qiu, Y **n - Acta Materialia, 2020 - Elsevier
In-situ TEM observation and molecular dynamics simulation were used to investigate the
evolution of irradiation-induced dislocation loops and their interactions with the pre-existing …
evolution of irradiation-induced dislocation loops and their interactions with the pre-existing …
In-situ TEM studies of 150 keV W+ ion irradiated W and W-alloys: Damage production and microstructural evolution
X Yi, ML Jenkins, MA Kirk, Z Zhou, SG Roberts - Acta Materialia, 2016 - Elsevier
In-situ irradiations with 150 keV W+ ions have been performed on W and W-5wt.%(Re; Ta;
V) alloys in a comprehensive study of the influences of irradiation temperature T irr, dose …
V) alloys in a comprehensive study of the influences of irradiation temperature T irr, dose …
Loop and void damage during heavy ion irradiation on nanocrystalline and coarse grained tungsten: Microstructure, effect of dpa rate, temperature, and grain size
Displacement damage, through heavy ion irradiation was studied on two tungsten grades
(coarse grained tungsten (CGW) and nanocrystalline and ultrafine grained tungsten (NCW)) …
(coarse grained tungsten (CGW) and nanocrystalline and ultrafine grained tungsten (NCW)) …
Large-scale machine-learning molecular dynamics simulation of primary radiation damage in tungsten
J Liu, J Byggmästar, Z Fan, P Qian, Y Su - Physical Review B, 2023 - APS
Simulating collision cascades and radiation damage poses a long-standing challenge for
existing interatomic potentials, both in terms of accuracy and efficiency. Machine-learning …
existing interatomic potentials, both in terms of accuracy and efficiency. Machine-learning …