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Published in 2021 at "Materials today communications"
DOI: 10.1016/j.mtcomm.2021.102462
Abstract: Abstract Machine learning (ML) methods have recently been widely employed to tackle several problems in quantum mechanics and materials science. Their main objective is to develop surrogate models that can be used to bypass the…
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Keywords:
formation energy;
study;
prediction;
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