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Data-driven discovery of Mn-based full Heusler Alloys: Machine learning and DFT insights into elastic, thermal, and mechanical properties | Synapse
March 3, 2026
Data-driven discovery of Mn-based full Heusler Alloys: Machine learning and DFT insights into elastic, thermal, and mechanical properties
WA
Waqas Akhtar
Harbin Institute of Technology
NQ
Nan Qu
Harbin Institute of Technology
DY
Danni Yang
Lanzhou University of Technology
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Puntos clave
Elastic properties were analyzed using machine learning models, leading to significant predictive accuracy in alloy behavior.
Density functional theory simulations provided detailed insights into the thermal stability of various Heusler alloy compositions.
Comprehensive analysis highlighted the mechanical properties, showing promising results for next-generation applications.
Understanding these properties may enable the development of advanced materials with enhanced performance in various industries.
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Cite This Study
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Akhtar et al. (Thu,) studied this question.
synapsesocial.com/papers/69a7677bbadf0bb9e87e1177
https://doi.org/https://doi.org/10.1016/j.physb.2026.418351