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Kang-Ni He

Chinese Academy of Sciences (CAS) - Anhui Province Key Laboratory of Materials Physics and Technology

Hefei , 230031

China

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Predicting Transition Metal Solute Diffusion in Metals by Merging First-Principles Calculations and Machine Learning

Number of pages: 34 Posted: 20 Jun 2019
Xiang-Shan Kong, Kang-Ni He, Jie Hou, T. Zhang and C.S. Liu
Shandong University - Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials, Chinese Academy of Sciences (CAS) - Anhui Province Key Laboratory of Materials Physics and Technology, Chinese Academy of Sciences (CAS) - Anhui Province Key Laboratory of Materials Physics and Technology, Guangzhou University - School of Physics and Electronic Engineering and Chinese Academy of Sciences (CAS) - Anhui Province Key Laboratory of Materials Physics and Technology
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transition metals, solute diffusion, first-principles calculations, machine learning, tungsten