Machine learning is rapidly transforming molecular dynamics simulations by enabling the construction of highly accurate interatomic potentials derived from high‐level quantum calculations. This ...
Researchers used machine learning interatomic potential (MLIP) calculations to narrow down the search for candidate dopants for a new type of photocatalytic tin oxide. MLIP calculations successfully ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
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