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个人简介
Fei Zhou joined the Lawrence Livermore National Laboratory as a staff physicist in July, 2013. He received his BS in physics from University of Science and Technology of China (USTC) in 2001 and his Ph.D. in physics from Massachusetts Institute of Technology (MIT) in 2006. His graduate thesis with Prof. Gerbrand Ceder, entitled "Models for transition metal oxides and for protein design", studied with computational methods the electron correlation effects in transition metal oxides (TMO), as well as the energetics of proteins and the nanotube-protein interface. Dr. Zhou continued as a postdoc at MIT in 2006, where he studied thermodynamics of transition metal oxides such as LiFePO4 and Fe3O4, and used first-principles data-mining and high-throughput approaches for battery design. In 2008 he moved to work with Prof. Vidvuds Ozolins at University of California, Los Angeles (UCLA) as a postdoc (2008-2009) and then assistant research engineer (2009-2013). At UCLA he carried out computational characterization of transition metal oxides (RuO2, Nb2O5, WO3) for super-capacitive energy storage, developed an improved LDA+U method for magnetism and crystal field of rare earth compounds and actinide nuclear fuels, and studied compressive sensing based models for materials physics.
研究兴趣
论文共 191 篇作者统计合作学者相似作者
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Benjamin A. Jasperson,Ilia Nikiforov,Amit Samanta,Fei Zhou,Ellad B. Tadmor,Vincenzo Lordi,Vasily V. Bulatov
npj Computational Materialsno. 1 (2025): 1-8
Machine Learning Science and Technologyno. 1 (2025): 015048
Journal of Rare Earths (2024)
Yang Li,Wen-Qi Cai,Ji-Gang Ren,Chao-Ze Wang, Meng Yang,Liang Zhang, Hui-Ying Wu,Liang Chang,Jin-Cai Wu,Biao Jin,Hua-Jian Xue, Xue-Jiao Li,Hui Liu, Guang-Wen Yu, Xue-Ying Tao, Ting Chen,Chong-Fei Liu, Wen-Bin Luo, Jie Zhou,Hai-Lin Yong, Yu-Huai Li,Feng-Zhi Li,Cong Jiang,Hao-Ze Chen, Chao Wu,Xin-Hai Tong,Si-Jiang Xie,Fei Zhou, Wei-Yue Liu,Nai-Le Liu,Li Li,Feihu Xu,Yuan Cao,Juan Yin,Rong Shu,Xiang-Bin Wang,Qiang Zhang,Jian-Yu Wang,Sheng-Kai Liao,Cheng-Zhi Peng,Jian-Wei Pan
arxiv(2024)
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crossref(2024)
Vacuumpp.113511-113511, (2024)
JOURNAL OF CHEMICAL THEORY AND COMPUTATIONno. 6 (2024): 2335-2348
MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 4 (2024)
CoRR (2024)
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作者统计
#Papers: 191
#Citation: 11884
H-Index: 45
G-Index: 108
Sociability: 6
Diversity: 3
Activity: 15
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