18 citations · 49 across the 7 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 18 cited
Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction
Fei Shuang, Kai Liu, Yucheng Ji +3
Extended defects such as dislocation networks and general grain boundaries are ubiquitous in metals, and accurately modeling these extensive defects is crucial for understanding th…
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…