Fei Zhou
Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolFei Zhou is a computational materials physicist with a decade of experience developing predictive modeling and data-driven methodologies for energy and nuclear materials at Lawrence Livermore National Laboratory. He applies first-principles techniques, cluster expansion, molecular dynamics and compressive sensing to problems spanning lithium-ion batteries, supercapacitors, actinide oxides, rare-earth magnets and strongly correlated materials. Trained with a PhD from MIT and prior roles at UCLA and MIT, he blends deep theory (LDA+U, hybrid functionals) with practical structure prediction and materials informatics workflows. Known for connecting statistical mechanics and data mining to real-world materials challenges, he brings a rare combination of computational rigor and application-focused modeling to accelerate materials design.
10 years of coding experience
5 years of employment as a software developer
Ph.D., Physics, Ph.D., Physics at Massachusetts Institute of TechnologyBS, Physics, BS, Physics at University of Science and Technology of China
Github Skills (51)
jit8
python8
automatic-differentiation8
composable8
gpu8
machine-learning8
autodiff8
pytorch8
lattice7
tpu7
dynamics7
jax7
symmetry6
refinement5
derivative5
Programming languages (3)
Github contributions (5)
LLNL/csld
Jun 2019 - Oct 2020
Compressive sensing lattice dynamics
Contributions:23 commits, 3 PRs, 23 pushes in 1 year 3 months
compressive-sensinglatticedynamicssensing
feifzhou/RCAN
Jan 2020 - Jun 2023
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Contributions:12 pushes in 3 years 5 months
pytorchdeep-learningeccvresolutioncomputer-vision
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