13 citations · 13 across the 2 of their papers we have counts for
2 papers
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…
cond-mat.mtrl-sci2021
Microstructure, grain boundary evolution and anisotropic Fe segregation in (0001) textured Ti thin films
Vivek Devulapalli, Marcus Hans, Prithiv T. Sukumar +3
The structure and chemistry of grain boundaries (GBs) are crucial in determining polycrystalline materials' properties. Faceting and solute segregation to minimize the GB energy is…