PDE-Net: Learning pdes from data Z Long, Y Lu, X Ma, B Dong arXiv preprint arXiv:1710.09668, 2017 | 813 | 2017 |
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network Z Long, Y Lu, B Dong Journal of Computational Physics 399, 108925, 2019 | 544 | 2019 |
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning Y Wang, Z Shen, Z Long, B Dong arXiv preprint arXiv:1905.11079, 2019 | 46 | 2019 |
PDE-net: Learning PDEs from data (2017) Z Long, Y Lu, X Ma, B Dong arXiv preprint arXiv:1710.09668, 0 | 11 | |
Rode-net: learning ordinary differential equations with randomness from data J Liu, Z Long, R Wang, J Sun, B Dong arXiv preprint arXiv:2006.02377, 2020 | 8 | 2020 |
An Edge-Based Smoothed Finite Element Method with TBC for the Elastic Wave Scattering by an Obstacle Z Wu, J Yue, M Li, R Niu, Y Zhang Commun Comput Phys 30 (3), 709-748, 2021 | 2 | 2021 |
A Direct Numerical Simulation (DNS) Study on the Effect of Particle Configuration on Drag Y Mo, Z Long, P Zhang COMMUNICATIONS IN COMPUTATIONAL PHYSICS 30 (3), 799-819, 2021 | | 2021 |