2 papers
cond-mat.mtrl-sci2026
Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH
Bo Han, Jianchuan Wang, Rui Zhang +6
Machine learning potential-driven molecular dynamics simulations (ML-MD) were employed to provide atomistic insights into the dehydrogenation kinetics of pristine and doped MgH2. T…
cond-mat.mtrl-sci2026
CuCrZr heat-sink irradiation performance reveals new challenges for thermonuclear fusion reactors
Thomas Barzic, Anna-Carina Seitlinger, Christoph Frühwirth +10
Commercial fusion energy requires materials that survive intense neutron bombardment whilst extracting extreme heat loads for conversion to electricity. The CuCrZr alloy, the leadi…