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March 3, 2026
Revealing hydrogen dynamics and embrittlement resistance in Cu-modified Al-Sc alloys using machine learning potential
YJ
Yucheng Ji
XF
Xiaoqian Fu
PD
Poulumi Dey
Delft University of Technology
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Puntos clave
Hydrogen dynamics influence embrittlement resistance in aluminum-scandium alloys, providing key insights into material behavior.
Key evidence shows significant variations in embrittlement resistance determined by hydrogen interaction with crystal structures.
Analysis utilizing machine learning potential demonstrates predictive capabilities, helping to optimize material composition and properties.
This study highlights the need for further exploratory work to validate findings and expand upon the applications of these alloys.
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Cite This Study
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Ji et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d62c6e9836116a2763d
https://doi.org/https://doi.org/10.1016/j.matlet.2026.140170
Revealing hydrogen dynamics and embrittlement resistance in Cu-modified Al-Sc alloys using machine learning potential | Synapse