​
Login / Signup
Junsheng Zeng
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Image Denoising
Simulation Data
Partial Differential Equations
Information Criterion
Top Venues
CoRR
J. Comput. Phys.
Comput. Phys. Commun.
</>
Publications
</>
Baoqing Meng
,
Junsheng Zeng
,
Shuai Li
,
Baolin Tian
,
Jinhong Liu
A particle-resolved direct numerical simulation method for the compressible gas flow and arbitrary shape solid moving with a uniform framework.
Comput. Phys. Commun.
303 (2024)
Hao Xu
,
Junsheng Zeng
,
Dongxiao Zhang
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion.
CoRR
(2022)
Baoqing Meng
,
Junsheng Zeng
,
Qian Chen
,
Rui Zhou
,
Baolin Tian
Numerical method for compressible gas-particle flow coupling using adaptive parcel refinement (APR) method on non-uniform mesh.
J. Comput. Phys.
466 (2022)
Yuntian Chen
,
Dou Huang
,
Dongxiao Zhang
,
Junsheng Zeng
,
Nanzhe Wang
,
Haoran Zhang
,
Jinyue Yan
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method.
J. Comput. Phys.
445 (2021)
Pengfei Tang
,
Junsheng Zeng
,
Dongxiao Zhang
,
Heng Li
Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network.
CoRR
(2021)
Junsheng Zeng
,
Hao Xu
,
Yuntian Chen
,
Dongxiao Zhang
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data.
CoRR
(2021)
Yuntian Chen
,
Dou Huang
,
Dongxiao Zhang
,
Junsheng Zeng
,
Nanzhe Wang
,
Haoran Zhang
,
Jinyue Yan
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method.
CoRR
(2020)
Baolin Tian
,
Junsheng Zeng
,
Baoqing Meng
,
Qian Chen
,
Xiaohu Guo
,
Kun Xue
Compressible multiphase particle-in-cell method (CMP-PIC) for full pattern flows of gas-particle system.
J. Comput. Phys.
418 (2020)
Hao Xu
,
Dongxiao Zhang
,
Junsheng Zeng
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data.
CoRR
(2020)