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Fei Zhou 0002
Person information
- affiliation: Lawrence Livermore National Laboratory, CA, USA
- affiliation (Ph.D.): Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Other persons with the same name
- Fei Zhou — disambiguation page
- Fei Zhou 0001 — Shenzhen University, Shenzhen, China
- Fei Zhou 0003 — National Huaqiao University, China
- Fei Zhou 0004 — China Jiliang University, Hangzhou, China
- Fei Zhou 0005 — Nanjing University of Aeronautics and Astronautics, State Key Laboratory of Mechanics and Control of Mechanical Structure, College of Mechanical and Electrical Engineering, China
- Fei Zhou 0006 — Henan University of Technology, College of Information Science and Engineering, Zhengzhou, China (and 1 more)
- Fei Zhou 0007 — Ocean University of China, OUC, College of Information Science and Engineering, Qingdao, Shandong, China
- Fei Zhou 0008 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
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Journal Articles
- 2024
- [j5]Hong Sun, Sébastien Hamel, Tim Hsu, Babak Sadigh, Vincenzo Lordi, Fei Zhou:
Ice Phase Classification Made Easy with Score-Based Denoising. J. Chem. Inf. Model. 64(16): 6369-6376 (2024) - [j4]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:
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models. Mach. Learn. Sci. Technol. 5(4): 45037 (2024) - 2023
- [j3]Nicolas Bertin, Fei Zhou:
Accelerating discrete dislocation dynamics simulations with graph neural networks. J. Comput. Phys. 487: 112180 (2023) - 2021
- [j2]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): 100243 (2021) - 2006
- [j1]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)
Informal and Other Publications
- 2024
- [i6]Daniel Schwalbe-Koda, Sébastien Hamel, Babak Sadigh, Fei Zhou, Vincenzo Lordi:
Information theory unifies atomistic machine learning, uncertainty quantification, and materials thermodynamics. CoRR abs/2404.12367 (2024) - 2023
- [i5]Nicolas Bertin, Vasily V. Bulatov, Fei Zhou:
Learning dislocation dynamics mobility laws from large-scale MD simulations. CoRR abs/2309.14450 (2023) - [i4]Tim Hsu, Babak Sadigh, Vasily V. Bulatov, Fei Zhou:
Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model. CoRR abs/2310.01678 (2023) - [i3]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 abs/2312.05472 (2023) - 2022
- [i2]Nicolas Bertin, Fei Zhou:
Accelerating discrete dislocation dynamics simulations with graph neural networks. CoRR abs/2208.03296 (2022) - [i1]Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily V. Bulatov, Fei Zhou:
Score-based denoising for atomic structure identification. CoRR abs/2212.02421 (2022)
Coauthor Index
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