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Artificial Intelligence for Materials Science - Cheng, Yuan (Editor), and Wang, Tian (Editor), and Zhang, Gang (Editor)
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Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large ...

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Artificial Intelligence for Materials Science 2021, Springer, Cham

ISBN-13: 9783030683092

2021 edition

Hardcover