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2411.00040
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Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
29 October 2024
Qi Wang
Pu Ren
Hao Zhou
Xin-Yang Liu
Z. Deng
Yi Zhang
Ruizhi Chengze
Hongsheng Liu
Zidong Wang
Jian-Xun Wang
Ji-Rong_Wen
Hao Sun
Yang Liu
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Papers citing
"P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics"
22 / 22 papers shown
Title
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu
Huakun Luo
Haowen Wang
Jianmin Wang
Mingsheng Long
AI4CE
103
61
0
04 Feb 2024
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe
Bastiaan S. Veeling
P. Perdikaris
Richard Turner
Johannes Brandstetter
DiffM
AI4CE
121
96
0
10 Aug 2023
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
72
9
0
30 May 2023
Scalable Transformer for PDE Surrogate Modeling
Zijie Li
Dule Shu
A. Farimani
102
84
0
27 May 2023
A Neural PDE Solver with Temporal Stencil Modeling
Zhiqing Sun
Yiming Yang
Shinjae Yoo
DiffM
AI4CE
89
17
0
16 Feb 2023
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
120
90
0
08 Sep 2022
Learning to correct spectral methods for simulating turbulent flows
Gideon Dresdner
Dmitrii Kochkov
Peter C. Norgaard
Leonardo Zepeda-Núñez
Jamie A. Smith
M. Brenner
Stephan Hoyer
AI4CE
71
62
0
01 Jul 2022
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics
Xin-Yang Liu
Min Zhu
Lu Lu
Hao Sun
Jian-Xun Wang
PINN
AI4CE
99
51
0
09 May 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao
Pu Ren
Yang Liu
Hao Sun
AI4CE
105
29
0
28 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation
Kimberly L. Stachenfeld
D. Fielding
Dmitrii Kochkov
M. Cranmer
Tobias Pfaff
Jonathan Godwin
Can Cui
S. Ho
Peter W. Battaglia
Alvaro Sanchez-Gonzalez
AI4CE
115
84
0
31 Dec 2021
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
198
220
0
28 Sep 2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs
Pu Ren
Chengping Rao
Yang Liu
Jianxun Wang
Hao Sun
DiffM
AI4CE
115
204
0
26 Jun 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
514
2,456
0
18 Oct 2020
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff
Meire Fortunato
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
AI4CE
82
806
0
07 Oct 2020
Physics informed deep learning for computational elastodynamics without labeled data
Chengping Rao
Hao Sun
Yang Liu
PINN
AI4CE
75
226
0
10 Jun 2020
Physics-informed learning of governing equations from scarce data
Zhao Chen
Yang Liu
Hao Sun
PINN
AI4CE
90
397
0
05 May 2020
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
148
1,104
0
21 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin Walters
Rose Yu
AI4CE
136
177
0
08 Feb 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
248
2,158
0
08 Oct 2019
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu
Aoxiao Zhong
Quanzheng Li
Bin Dong
210
505
0
27 Oct 2017
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffM
AI4CE
67
761
0
26 Oct 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.9K
77,520
0
18 May 2015
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