Weiqing Ren

J. Comput. Phys., 2024

Deep Learning Method for Computing Committor Functions with Adaptive Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Yangzheng Zhong

CoRR, 2024

A deep learning approach for solving the stationary compositional two-phase equilibrium problems.

[BibT_eX]

[DOI]

Duc Thach Son Vu

Commun. Nonlinear Sci. Numer. Simul., 2024

Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Micromagnetics simulations and phase transitions of ferromagnetics with Dzyaloshinskii-Moriya interaction.

[BibT_eX]

[DOI]

Commun. Nonlinear Sci. Numer. Simul., November, 2023

Exploiting UAV for Air-Ground Integrated Federated Learning: A Joint UAV Location and Resource Optimization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Green Commun. Netw., September, 2023

Computing high-dimensional invariant distributions from noisy data.

[BibT_eX]

[DOI]

J. Comput. Phys., February, 2023

A Survey on Collaborative DNN Inference for Edge Intelligence.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2023

Energy-Efficient Collaborative DNN Inference in UAV Swarm.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

2022

Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning.

[BibT_eX]

[DOI]

J. Sci. Comput., 2022

Vapor-liquid phase transition in fluctuating hydrodynamics: The most probable transition path and its computation.

[BibT_eX]

[DOI]

Wenqi Yao

J. Comput. Phys., 2022

2021

A finite element method for electrowetting on dielectric.

[BibT_eX]

[DOI]

Quan Zhao

J. Comput. Phys., 2021

A Thermodynamically Consistent Model and Its Conservative Numerical Approximation for Moving Contact Lines with Soluble Surfactants.

[BibT_eX]

[DOI]

Quan Zhao

Zhen Zhang

CoRR, 2021

A Data Driven Method for Computing Quasipotentials.

[BibT_eX]

[DOI]

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Interface Profile Near the Contact Line in Electro-Wetting on Dielectric.

[BibT_eX]

[DOI]

Hanwen Cui

SIAM J. Appl. Math., 2020

An energy-stable finite element method for the simulation of moving contact lines in two-phase flows.

[BibT_eX]

[DOI]

Quan Zhao

J. Comput. Phys., 2020

The Graph Limit of The Minimizer of The Onsager-Machlup Functional and Its Computation.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Distinguished Limits of the Navier Slip Model for Moving Contact Lines in Stokes Flow.

[BibT_eX]

[DOI]

Zhen Zhang

SIAM J. Appl. Math., 2019

Computing Committor Functions for the Study of Rare Events Using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

2016

Simulation of moving contact lines in two-phase polymeric fluids.

[BibT_eX]

[DOI]

Zhen Zhang

Comput. Math. Appl., 2016

2015

Noise-induced transition in barotropic flow over topography and application to Kuroshio.

[BibT_eX]

[DOI]

Wenqi Yao

J. Comput. Phys., 2015

2014

A level-set method for two-phase flows with moving contact line and insoluble surfactant.

[BibT_eX]

[DOI]

Jian-Jun Xu

J. Comput. Phys., 2014

2009

A general strategy for designing seamless multiscale methods.

[BibT_eX]

[DOI]

Weinan E

Eric Vanden-Eijnden

J. Comput. Phys., 2009

2007

Analytical and numerical study of coupled atomistic-continuum methods for fluids.

[BibT_eX]

[DOI]