Understanding electron transport has long been a central challenge in condensed matter physics and materials science, owing to the complexity of electronic band structures and the diverse mechanisms ...
Accurate prediction of materials phase diagrams from first principles remains a central challenge in computational materials science. Machine-learning interatomic potentials can provide near-DFT ...
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