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2020 – today
- 2024
[j4]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: 109266 (2024)- 2022
- [j3]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: 111418 (2022) - [i5]Hao Xu, Junsheng Zeng, Dongxiao Zhang:
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. CoRR abs/2208.03322 (2022) - 2021
- [j2]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: 110624 (2021) - [i4]Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang:
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR abs/2106.00009 (2021) - [i3]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 abs/2109.12311 (2021) - 2020
- [j1]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: 109602 (2020) - [i2]Hao Xu, Dongxiao Zhang, Junsheng Zeng:
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data. CoRR abs/2005.07916 (2020) - [i1]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 abs/2012.06148 (2020)
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