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Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

11 July 2022
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
    AI4CE
ArXivPDFHTML

Papers citing "Fourier Neural Operator with Learned Deformations for PDEs on General Geometries"

48 / 48 papers shown
Title
GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations
GeoMaNO: Geometric Mamba Neural Operator for Partial Differential Equations
Xi Han
Jingwei Zhang
Dimitris Samaras
Fei Hou
Hong Qin
AI4CE
2
0
0
17 May 2025
Spatiotemporal Field Generation Based on Hybrid Mamba-Transformer with Physics-informed Fine-tuning
Spatiotemporal Field Generation Based on Hybrid Mamba-Transformer with Physics-informed Fine-tuning
Peimian Du
Jiabin Liu
Xiaowei Jin
Mengwang Zuo
Hui Li
AI4CE
2
0
0
16 May 2025
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
Shanda Li
Tanya Marwah
Junhong Shen
W. Sun
Andrej Risteski
Yiming Yang
Ameet Talwalkar
AI4CE
39
0
0
13 May 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
Tianyu Chen
Haoyi Zhou
Yunshui Li
Hao Wang
Zhenru Zhang
Tianchen Zhu
Shanghang Zhang
Jiashi Li
37
0
0
11 May 2025
A Physics-preserved Transfer Learning Method for Differential Equations
A Physics-preserved Transfer Learning Method for Differential Equations
Hao-Ran Yang
Chuan-Xian Ren
176
0
0
02 May 2025
Geometry-Informed Neural Operator Transformer
Geometry-Informed Neural Operator Transformer
Qibang Liu
Vincient Zhong
Hadi Meidani
Diab Abueidda
S. Koric
Philippe Geubelle
AI4CE
44
1
0
28 Apr 2025
HJRNO: Hamilton-Jacobi Reachability with Neural Operators
HJRNO: Hamilton-Jacobi Reachability with Neural Operators
Yankai Li
Mo Chen
44
0
0
28 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
52
0
0
24 Apr 2025
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
56
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
114
0
0
13 Feb 2025
DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling
Yaohua Zang
P. Koutsourelakis
AI4CE
54
1
0
10 Feb 2025
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces
Yuwen Li
Guozhi Zhang
46
1
0
20 Jan 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
99
0
0
12 Dec 2024
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Zhihao Li
Haoze Song
Di Xiao
Zhilu Lai
Wei Wang
AI4CE
91
3
0
18 Nov 2024
Generalizable Motion Planning via Operator Learning
Generalizable Motion Planning via Operator Learning
Sharath Matada
Luke Bhan
Yuanyuan Shi
Nikolay Atanasov
36
0
0
23 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression
Learning signals defined on graphs with optimal transport and Gaussian process regression
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
47
1
0
21 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng
Qi Wang
M. Yan
Yong Liu
Ruizhi Chengze
Yi Zhang
Hongsheng Liu
Zidong Wang
Hao Sun
AI4CE
40
3
0
02 Oct 2024
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple
  Operators for Forecasting Fluid Dynamics
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
Yuxuan Liu
Jingmin Sun
Xinjie He
Griffin Pinney
Zecheng Zhang
Hayden Schaeffer
AI4CE
43
7
0
15 Sep 2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
Sheel Nidhan
Haoliang Jiang
Lalit Ghule
C. Umphrey
Rishikesh Ranade
Jay Pathak
AI4CE
42
0
0
26 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
41
5
0
06 Aug 2024
Physics-Informed Geometry-Aware Neural Operator
Physics-Informed Geometry-Aware Neural Operator
Weiheng Zhong
Hadi Meidani
AI4CE
46
4
0
02 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
34
43
0
09 Jul 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Hrishikesh Viswanath
Yue Chang
Julius Berner
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
63
2
0
04 Jul 2024
Neural Green's Operators for Parametric Partial Differential Equations
Neural Green's Operators for Parametric Partial Differential Equations
Hugo Melchers
Joost Prins
Michael Abdelmalik
58
3
0
04 Jun 2024
Discretization Error of Fourier Neural Operators
Discretization Error of Fourier Neural Operators
S. Lanthaler
Andrew M. Stuart
Margaret Trautner
45
5
0
03 May 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE
  Solver
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shaocong Ma
James Diffenderfer
B. Kailkhura
Yi Zhou
AI4CE
46
0
0
17 Apr 2024
Learning solution operators of PDEs defined on varying domains via
  MIONet
Learning solution operators of PDEs defined on varying domains via MIONet
Shanshan Xiao
Pengzhan Jin
Yifa Tang
50
3
0
23 Feb 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Da Long
Zhitong Xu
Qiwei Yuan
Yin Yang
Shandian Zhe
AI4CE
75
5
0
18 Feb 2024
Separable Physics-Informed Neural Networks for the solution of
  elasticity problems
Separable Physics-Informed Neural Networks for the solution of elasticity problems
V. A. Es'kin
Danil V. Davydov
Julia V. Guréva
Alexey O. Malkhanov
Mikhail E. Smorkalov
PINN
AI4CE
27
2
0
24 Jan 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model
  for Complex Material Responses
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
S. Jafarzadeh
Stewart Silling
Ning Liu
Zhongqiang Zhang
Yue Yu
AI4CE
32
16
0
11 Jan 2024
Generating synthetic data for neural operators
Generating synthetic data for neural operators
Erisa Hasani
Rachel A. Ward
AI4CE
62
8
0
04 Jan 2024
Physics-informed neural networks for transformed geometries and
  manifolds
Physics-informed neural networks for transformed geometries and manifolds
Samuel Burbulla
AI4CE
29
0
0
27 Nov 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
20
10
0
08 Oct 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zong-Yi Li
Nikola B. Kovachki
Chris Choy
Boyi Li
Jean Kossaifi
...
M. A. Nabian
Maximilian Stadler
Christian Hundt
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
34
133
0
01 Sep 2023
Scattering with Neural Operators
Scattering with Neural Operators
Sebastian Mizera
AI4CE
27
9
0
28 Aug 2023
Nonlocality and Nonlinearity Implies Universality in Operator Learning
Nonlocality and Nonlinearity Implies Universality in Operator Learning
S. Lanthaler
Zong-Yi Li
Andrew M. Stuart
26
17
0
26 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
43
6
0
06 Apr 2023
GNN-based physics solver for time-independent PDEs
GNN-based physics solver for time-independent PDEs
R. J. Gladstone
H. Rahmani
V. Suryakumar
Hadi Meidani
M. DÉlia
A. Zareei
AI4CE
20
15
0
28 Mar 2023
Neural Operators of Backstepping Controller and Observer Gain Functions
  for Reaction-Diffusion PDEs
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Miroslav Krstic
Luke Bhan
Yuanyuan Shi
54
28
0
18 Mar 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Rui Zhang
Qi Meng
Rongchan Zhu
Yue Wang
Wenlei Shi
Shihua Zhang
Zhi-Ming Ma
Tie-Yan Liu
DiffM
AI4CE
51
4
0
10 Feb 2023
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher
  order deep operator learning for parametric partial differential equations
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations
Arnulf Jentzen
Adrian Riekert
Philippe von Wurstemberger
29
1
0
07 Feb 2023
KoopmanLab: machine learning for solving complex physics equations
KoopmanLab: machine learning for solving complex physics equations
Wei Xiong
Muyuan Ma
Xiaomeng Huang
Ziyang Zhang
Pei Sun
Yang Tian
AI4CE
26
13
0
03 Jan 2023
An Introduction to Kernel and Operator Learning Methods for
  Homogenization by Self-consistent Clustering Analysis
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis
Owen Huang
Sourav Saha
Jiachen Guo
Wing Kam Liu
AI4CE
23
12
0
01 Dec 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
61
119
0
30 Sep 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin
Matthieu Kirchmeyer
Jean-Yves Franceschi
A. Rakotomamonjy
Patrick Gallinari
AI4CE
25
49
0
29 Sep 2022
Factorized Fourier Neural Operators
Factorized Fourier Neural Operators
Alasdair Tran
A. Mathews
Lexing Xie
Cheng Soon Ong
AI4CE
34
142
0
27 Nov 2021
Physics-Informed Neural Operator for Learning Partial Differential
  Equations
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
62
385
0
06 Nov 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
247
2,298
0
18 Oct 2020
1