Weinan E

Mathematics

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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1 Active
7 Finished

Machine Learning via Dynamical Systems
E, W.
Office of Naval Research - MA
9/1/17 → 8/31/21
Project: Research project
Coupling Continuum and Density Functional Theories for Materials Modeling
E, W.
NSF - National Science Foundation
8/15/14 → 1/31/16
Project: Research project
Multi-scale/Multi-physics Modeling: Rare events in Complex Systems
E, W.
Office of Naval Research - MA
2/1/13 → 7/31/16
Project: Research project
Modeling Mesoscale Processes of Scalable Synthesis
E, W.
DOE - Washington
12/1/12 → 11/30/17
Project: Research project
FRG: Collaborative Research: Dynamical Processes in Many-Body Systems: Analysis and Simulations
E, W.
NSF - National Science Foundation
7/1/11 → 6/30/14
Project: Research project

11808 Citations
63 h-Index
203 Article
9 Conference contribution
4 Paper
4 Conference article
More

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy
Lu, D., Wang, H., Chen, M., Lin, L., Car, R., E, W., Jia, W. & Zhang, L., Feb 2021, In: Computer Physics Communications. 259, 107624.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
A deep learning-based ode solver for chemical kinetics
Zhang, T., Zhang, Y., E, W. & Ju, Y., 2021, AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Scitech 2021 Forum).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional Theory
Chen, Y., Zhang, L., Wang, H. & Weinan, E., Jan 12 2021, In: Journal of Chemical Theory and Computation. 17, 1, p. 170-181 12 p.
Research output: Contribution to journal › Article › peer-review
Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels
Weinan, E. & Wojtowytsch, S., Mar 2021, In: Research in Mathematical Sciences. 8, 1, 5.
Research output: Contribution to journal › Article › peer-review
A comparative analysis of optimization and generalization properties of two-layer neural network and random feature models under gradient descent dynamics
Weinan, E., Ma, C. & Wu, L., Jul 1 2020, In: Science China Mathematics. 63, 7, p. 1235-1258 24 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations