Junsheng Zeng

According to our database, Junsheng Zeng authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A particle-resolved direct numerical simulation method for the compressible gas flow and arbitrary shape solid moving with a uniform framework.

Baoqing Meng, Junsheng Zeng, Shuai Li, Baolin Tian, Jinhong Liu

Comput. Phys. Commun., 2024

2022

Numerical method for compressible gas-particle flow coupling using adaptive parcel refinement (APR) method on non-uniform mesh.

Baoqing Meng, Junsheng Zeng, Qian Chen, Rui Zhou, Baolin Tian

J. Comput. Phys., 2022

Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion.

Hao Xu, Junsheng Zeng, Dongxiao Zhang

CoRR, 2022

2021

Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

J. Comput. Phys., 2021

Constructing Sub-scale Surrogate Model for Proppant Settling in Inclined Fractures from Simulation Data with Multi-fidelity Neural Network.

Pengfei Tang, Junsheng Zeng, Dongxiao Zhang, Heng Li

CoRR, 2021

Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data.

Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang

CoRR, 2021

2020

Compressible multiphase particle-in-cell method (CMP-PIC) for full pattern flows of gas-particle system.

Baolin Tian, Junsheng Zeng, Baoqing Meng, Qian Chen, Xiaohu Guo, Kun Xue

J. Comput. Phys., 2020

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

CoRR, 2020

Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data.

Hao Xu, Dongxiao Zhang, Junsheng Zeng

CoRR, 2020