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 ...
The alternative text for this image may have been generated using AI. The question then arises whether a cheaper surrogate model can replace DFT in predictions of stable materials. In recent years, ...
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