59 citations · 59 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025
Decoding the Stability of Transition-Metal Alloys with Theory-infused Deep Learning
Yang Huang, Shih-Han Wang, Shuyi Cao +2
We introduce an interpretable deep learning framework that predicts the cohesive energy of transition-metal alloys (TMAs) by embedding cohesion theory within graph neural networks…
cond-mat.mtrl-sci2023★ 59 cited
JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods
Kamal Choudhary, Daniel Wines, Kangming Li +35
Lack of rigorous reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experiment…