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Application of Machine Learning to Predict Grain Boundary Embrittlement in Metals by Combining Bonding-Breaking and Atomic Size Effects.

Wu, Xuebang;Wang, Yu-Xuan;He, Kan-Ni;Li, Xiangyan;Liu, Wei;Zhang, Yange;Xu, Yichun;Liu, Changsong;

2020 Materials (Basel, Switzerland) DOI: E179 336 views

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Materials (Basel, Switzerland)

ISSN: 1996-1944 10,684 views

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Machine learning support vector machine artificial neural network grain boundary embrittlement