Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
Da RenState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, ChinaChenchong WangState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, ChinaXiaolu WeiState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, ChinaYuqi ZhangState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, ChinaSiyu HanState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, ChinaWei XuState key laboratory of rolling and automation, Northeastern University, Shenyang, Liaoning 110819, China
2024en
ABI
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Cited by 40 references