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Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses被引量：6
《npj Computational Materials》2020年第1期118-126,共9页Zhichao Lu Xin Chen Xiongjun Liu Deye Lin Yuan Wu Yibo Zhang Hui Wang Suihe Jiang Hongxiang Li Xianzhen Wang Zhaoping Lu 
This research was supported by National Natural Science Foundation of China(Nos.51671018,51671021,51531001,11790923,and 51961160729);the Funds for Creative Research Groups of China(No.51921001),Program for Changjiang Scholars and Innovative Research Team in University of China(No.IRT_14R05);National Key Basic Research Program China(No.2016YFB0300502);the Fundamental Research Fund for the Central Universities(Nos.FRF-GF-19-011A and FRF-BD-19-002B);X.J.L.is grateful to the financial support from the Projects of SKLAMM-USTB(2018Z-19);HXL appreciates the financial support from the Natural Science Foundation of Beijing,China(Grant No.2202033).
Fe-based metallic glasses(MGs)have been extensively investigated due to their unique properties,especially the outstanding soft-magnetic properties.However,conventional design of soft-magnetic Fe-based MGs is heavily ...
关键词：stability properties GLASSES 
Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy被引量：6
《Nano Research》2018年第12期6316-6324,共9页Xiaoyang Lin Zhizhong Si Wenzhi Fu Jianlei Yang Side Guo Yuan Cao Jin Zhang Xinhe Wang Peng Liu Kaili Jiang Weisheng Zhao 
the National Natural Science Foundation of China (Nos.51602013,61602022 and 61627813);the National Basic Research Program of China (No.2012CB932301);the International Collaboration 111Project (No.B16001);Beijing Natural Science Foundation (No.4162039).
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