17 citations · 32 across the 6 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cond-mat.mtrl-sci2024★ 17 cited
Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning
Fei Shuang, Yucheng Ji, Zixiong Wei +4
Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear…
cond-mat.dis-nn2024
Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys
Zixiong Wei, Nongnuch Artrith
Understanding the mechanical properties of solid-state materials at the atomic scale is crucial for developing novel materials. For example, amorphous LiSi alloys are attractive an…