13 citations · 13 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022
Thermodynamical and topological properties of metastable Fe3Sn
Ilias Samathrakis, Chen Shen, Kun Hu +5
Combining experimental data, first-principles calculations, and Calphad assessment, thermodynamic and topological transport properties of the Fe-Sn system were investigated. Densit…
cond-mat.mtrl-sci2022★ 13 cited
Machine learning-enabled high-entropy alloy discovery
Ziyuan Rao, PoYen Tung, Ruiwen Xie +14
High-entropy alloys are solid solutions of multiple principal elements, capable of reaching composition and feature regimes inaccessible for dilute materials. Discovering those wit…