Fei Zhou

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A probabilistic foundation model for crystal structure denoising, phase classification, and order parameters.
CoRR
Hyuna Kwon, Babak Sadigh, Sébastien Hamel, Vincenzo Lordi, John E. Klepeis, Fei Zhou
2025 J jnl
LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields.
Mach. Learn. Sci. Technol.
Joshua A. Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi
2025 J jnl
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks.
CoRR
Zhihui Tian, Ethan Suwandi, Tomas Oppelstrup, Vasily V. Bulatov, Joel B. Harley, Fei Zhou
2024 J jnl
Accelerate microstructure evolution simulation using graph neural networks with adaptive spatiotemporal resolution.
Mach. Learn. Sci. Technol.
Shaoxun Fan, Andrew L. Hitt, Ming Tang, Babak Sadigh, Fei Zhou
2024 J jnl
Ice Phase Classification Made Easy with Score-Based Denoising.
J. Chem. Inf. Model.
Hong Sun, Sébastien Hamel, Tim Hsu, Babak Sadigh, Vincenzo Lordi, Fei Zhou
2024 J jnl
Information theory unifies atomistic machine learning, uncertainty quantification, and materials thermodynamics.
CoRR
Daniel Schwalbe-Koda, Sébastien Hamel, Babak Sadigh, Fei Zhou, Vincenzo Lordi
2024 J jnl
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields.
CoRR
Joshua A. Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi
2024 J jnl
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models.
Mach. Learn. Sci. Technol.
Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Vincenzo Lordi, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham
2023 J jnl
Accelerating discrete dislocation dynamics simulations with graph neural networks.
J. Comput. Phys.
Nicolas Bertin, Fei Zhou
2023 J jnl
Learning dislocation dynamics mobility laws from large-scale MD simulations.
CoRR
Nicolas Bertin, Vasily V. Bulatov, Fei Zhou
2023 J jnl
Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model.
CoRR
Tim Hsu, Babak Sadigh, Vasily V. Bulatov, Fei Zhou
2023 J jnl
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models.
CoRR
Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham
2022 J jnl
Accelerating discrete dislocation dynamics simulations with graph neural networks.
CoRR
Nicolas Bertin, Fei Zhou
2022 J jnl
Score-based denoising for atomic structure identification.
CoRR
Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily V. Bulatov, Fei Zhou
2021 J jnl
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks.
Patterns
Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou
2006 J jnl
Ultra-Fast Evaluation of Protein Energies Directly from Sequence.
PLoS Comput. Biol.
Gevorg Grigoryan, Fei Zhou, Steve R. Lustig, Gerbrand Ceder, Dane Morgan, Amy E. Keating