Computational materials physics and materials informatics, for applications in
- Electrochemical energy storage, including super-capacitor and lithium-ion battery
- Nuclear fuel materials, e.g. actinide oxides
- Rare earth materials for solid state lighting, scintillators and permanent magnet,
- Strongly correlated materials, magnetism and the bio-nano interface
- Computational methods: Compressive sensing; non-local exchange-correlation; LDA+U and hybrid functional; cluster expansion; structure prediction; molecular dynamics; Monte-Carlo
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.