3 papers
cond-mat.mtrl-sci2025
Efficient training of machine learning potentials for metallic glasses: CuZrAl validation
Antoni Wadowski, Anshul D. S. Parmar, Filip KaÅkosz +4
Interatomic potentials are key to uncovering microscopic structure-property relationships, essential for multiscale simulations and high-throughput experiments. For metallic glasse…
cond-mat.mtrl-sci2025
Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
Jesper Byggmästar, Damian Sobieraj, Jan S. Wróbel +4
Tungsten-based low-activation high-entropy alloys are possible candidates for next-generation fusion reactors due to their exceptional tolerance to irradiation, thermal loads, and…
cond-mat.mtrl-sci2024
Enhancing Irradiation Resistance in Refractory Medium Entropy Alloys with Simplified Chemistry
M. A. Tunes, D. Parkison, B. Sun +12
Refractory High-Entropy Alloys (RHEAs) hold promising potential to be used as structural materials in future nuclear fusion reactors, where W and its alloys are currently leading c…