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NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform
  Data

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

30 May 2023
Songming Liu
Zhongkai Hao
Chengyang Ying
Hang Su
Ze Cheng
Jun Zhu
    AI4CE
ArXivPDFHTML

Papers citing "NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data"

11 / 11 papers shown
Title
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Jianing Huang
Kaixuan Zhang
Youjia Wu
Ze Cheng
AI4CE
45
0
0
01 Apr 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
107
0
0
13 Feb 2025
Reference Neural Operators: Learning the Smooth Dependence of Solutions
  of PDEs on Geometric Deformations
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng
Zhongkai Hao
Xiaoqiang Wang
Jianing Huang
Youjia Wu
Xudan Liu
Yiru Zhao
Songming Liu
Hang Su
AI4CE
29
2
0
27 May 2024
Towards General Neural Surrogate Solvers with Specialized Neural
  Accelerators
Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
Chenkai Mao
Robert Lupoiu
Tianxiang Dai
Mingkun Chen
Jonathan A. Fan
AI4CE
29
4
0
02 May 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE
  Pre-Training
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
Zhongkai Hao
Chang Su
Songming Liu
Julius Berner
Chengyang Ying
Hang Su
A. Anandkumar
Jian Song
Jun Zhu
AI4TS
AI4CE
22
21
0
06 Mar 2024
GNOT: A General Neural Operator Transformer for Operator Learning
GNOT: A General Neural Operator Transformer for Operator Learning
Zhongkai Hao
Zhengyi Wang
Hang Su
Chengyang Ying
Yinpeng Dong
Songming Liu
Ze Cheng
Jian Song
Jun Zhu
AI4CE
11
159
0
28 Feb 2023
Mitigating spectral bias for the multiscale operator learning
Mitigating spectral bias for the multiscale operator learning
Xinliang Liu
Bo Xu
Shuhao Cao
Lei Zhang
AI4CE
33
25
0
19 Oct 2022
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
108
249
0
11 Jul 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
124
200
0
28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations
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
203
2,281
0
18 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
1