2 papers
physics.comp-ph2025
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
Junchi Liu, Ying Tang, Sergei Tretiak +2
Recent advances in machine learning have demonstrated an enormous utility of deep learning approaches, particularly Graph Neural Networks (GNNs) for materials science. These method…
cond-mat.mtrl-sci2024
M\textbf{\textit{O}}enes family materials with Dirac nodal loop, strong light-harvesting ability, long carrier lifetime and conduction-band valley spin splitting
Luo Yan, Junchi Liu, Yu-Feng Ding +3
M\textbf{\textit{O}}enes, as emerging MXenes-like materials, also have wide structural spaces and various chemical and physical properties. Using first-principles and high-throughp…