Fei Zhou

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 7

Top Topics

Information Theory

Recurrent Neural Networks

Molecular Dynamics

Shannon Entropy

Top Venues

J. Comput. Phys.

Publications

Daniel Schwalbe-Koda, Sébastien Hamel, Babak Sadigh, Fei Zhou, Vincenzo Lordi
Information theory unifies atomistic machine learning, uncertainty quantification, and materials thermodynamics. CoRR (2024)
Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models. CoRR (2023)
Nicolas Bertin, Vasily V. Bulatov, Fei Zhou
Learning dislocation dynamics mobility laws from large-scale MD simulations. CoRR (2023)
Nicolas Bertin, Fei Zhou
Accelerating discrete dislocation dynamics simulations with graph neural networks. J. Comput. Phys. 487 (2023)
Tim Hsu, Babak Sadigh, Vasily V. Bulatov, Fei Zhou
Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model. CoRR (2023)
Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily V. Bulatov, Fei Zhou
Score-based denoising for atomic structure identification. CoRR (2022)
Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks. Patterns 2 (5) (2021)
Gevorg Grigoryan, Fei Zhou, Steve R. Lustig, Gerbrand Ceder, Dane Morgan, Amy E. Keating
Ultra-Fast Evaluation of Protein Energies Directly from Sequence. PLoS Comput. Biol. 2 (6) (2006)