E Weinan - Concepedia

Author

E Weinan

Princeton University

Also Known As

Caffarelli, Luis 1948-, E Wei-nan*, E Weinan, E, Weinan, E. Weinan, Han Wang, Ke, Guolin, W E, W. E, Wang, Weizong

491

Publications

35.9K

Citations

H-Index

261

Concepts

All Affiliations

Princeton University Peking University Courant Institute of Mathematical Sciences New York University Beijing Institute of Big Data Research

About

E Weinan is an author at Princeton University specializing in engineering, physics, and numerical simulation.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	77	183	20.7K
2	Natural Sciences	35	57	5K
3	Medicine	3	3	381
4	Business	2	2	135
5	Language Studies	1	1	51

E Weinan

251

Publications

32.4K

Citations

H-Index

Page 1

	Year	Citations
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics Linfeng Zhang, Jiequn Han, Roberto Car, Physical Review Letters	2018	2K
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics Han Wang, Linfeng Zhang, Jiequn Han, Computer Physics Communications Molecular DynamicsEngineeringDeep LearningPhysic Aware Machine LearningDeep Learning Package	2018	1.8K
Solving high-dimensional partial differential equations using deep learning Jiequn Han, Arnulf Jentzen, E Weinan Proceedings of the National Academy of Sciences	2018	1.6K
The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems E Weinan, Bing Yu Communications in Mathematics and Statistics Numerical AnalysisEngineeringVariational AnalysisPde-constrained OptimizationVariational Problems	2018	1.3K
String method for the study of rare events E Weinan, Weiqing Ren, Eric Vanden‐Eijnden Physical review. B, Condensed matter	2002	1.3K
The Heterognous Multiscale Methods E Weinan, Björn Engquist Communications in Mathematical Sciences Numerical AnalysisMultiscale AnalysisHeterognous Multiscale MethodsInverse ProblemsMulti-resolution Method	2003	954
Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations E Weinan, Jiequn Han, Arnulf Jentzen Communications in Mathematics and Statistics Numerical AnalysisEngineeringPde-constrained OptimizationData ScienceMultiphysics Modeling	2017	799
Simplified and improved string method for computing the minimum energy paths in barrier-crossing events E Weinan, Weiqing Ren, Eric Vanden‐Eijnden The Journal of Chemical Physics Numerical AnalysisEngineeringAerospace EngineeringNatural SciencesParticle Physics	2007	680
Transition-Path Theory and Path-Finding Algorithms for the Study of Rare Events E Weinan, Eric Vanden‐Eijnden Annual Review of Physical Chemistry EngineeringPath-finding AlgorithmsRare Event EstimationEvent CorrelationComputational Complexity	2008	625
A Proposal on Machine Learning via Dynamical Systems E Weinan Communications in Mathematics and Statistics Artificial IntelligenceEngineeringMachine LearningComputational Learning TheoryAlgorithmic Learning	2017	625

Page 1