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Weinan E

Showing results (21-30 of 54) with videos related to

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Nucleic Acids Research|April 5, 2018
DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variantsMeng Wang, Cheng Tai, Weinan E, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 11, 2007
Noise can play an organizing role for the recurrent dynamics in excitable mediaCyrill B Muratov, Eric Vanden-Eijnden, Weinan E
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2019
Uniformly accurate machine learning-based hydrodynamic models for kinetic equationsJiequn Han, Chao Ma, Zheng Ma, et al.
Journal of Chemical Theory and Computation|April 18, 2023
Hybrid Auxiliary Field Quantum Monte Carlo for Molecular SystemsYixiao Chen, Linfeng Zhang, Weinan E, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2002
Kinetic theory for flows of nonhomogeneous rodlike liquid crystalline polymers with a nonlocal intermolecular potentialQi Wang, Weinan E, Chun Liu, et al.
Journal of Chemical Theory and Computation|December 9, 2020
DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional TheoryYixiao Chen, Linfeng Zhang, Han Wang, et al.
The Journal of Physical Chemistry. A|August 14, 2020
Ground State Energy Functional with Hartree-Fock Efficiency and Chemical AccuracyYixiao Chen, Linfeng Zhang, Han Wang, et al.
The Journal of Chemical Physics|October 15, 2005
Transition pathways in complex systems: Application of the finite-temperature string method to the alanine dipeptideWeiqing Ren, Eric Vanden-Eijnden, Paul Maragakis, et al.
The Journal of Chemical Physics|July 25, 2018
DeePCG: Constructing coarse-grained models via deep neural networksLinfeng Zhang, Jiequn Han, Han Wang, et al.
Physical Review Letters|April 26, 2018
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum MechanicsLinfeng Zhang, Jiequn Han, Han Wang, et al.
Pageof 6

Showing results (21-30 of 54) with videos related to

Sort By:
Pageof 6
Nucleic Acids Research|April 5, 2018
DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variantsMeng Wang, Cheng Tai, Weinan E, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 11, 2007
Noise can play an organizing role for the recurrent dynamics in excitable mediaCyrill B Muratov, Eric Vanden-Eijnden, Weinan E
Proceedings of the National Academy of Sciences of the United States of America|October 18, 2019
Uniformly accurate machine learning-based hydrodynamic models for kinetic equationsJiequn Han, Chao Ma, Zheng Ma, et al.
Journal of Chemical Theory and Computation|April 18, 2023
Hybrid Auxiliary Field Quantum Monte Carlo for Molecular SystemsYixiao Chen, Linfeng Zhang, Weinan E, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 13, 2002
Kinetic theory for flows of nonhomogeneous rodlike liquid crystalline polymers with a nonlocal intermolecular potentialQi Wang, Weinan E, Chun Liu, et al.
Journal of Chemical Theory and Computation|December 9, 2020
DeePKS: A Comprehensive Data-Driven Approach toward Chemically Accurate Density Functional TheoryYixiao Chen, Linfeng Zhang, Han Wang, et al.
The Journal of Physical Chemistry. A|August 14, 2020
Ground State Energy Functional with Hartree-Fock Efficiency and Chemical AccuracyYixiao Chen, Linfeng Zhang, Han Wang, et al.
The Journal of Chemical Physics|October 15, 2005
Transition pathways in complex systems: Application of the finite-temperature string method to the alanine dipeptideWeiqing Ren, Eric Vanden-Eijnden, Paul Maragakis, et al.
The Journal of Chemical Physics|July 25, 2018
DeePCG: Constructing coarse-grained models via deep neural networksLinfeng Zhang, Jiequn Han, Han Wang, et al.
Physical Review Letters|April 26, 2018
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum MechanicsLinfeng Zhang, Jiequn Han, Han Wang, et al.
Pageof 6