Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.08895
Cited By
v1
v2
v3 (latest)
Fourier Neural Operator for Parametric Partial Differential Equations
18 October 2020
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fourier Neural Operator for Parametric Partial Differential Equations"
50 / 1,350 papers shown
Title
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
Sizhuang He
Tong-Rui Liu
Shyam Sankaran
P. Perdikaris
AI4CE
93
4
0
23 Sep 2024
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
M. Atif
Pulkit Dubey
Pratik P. Aghor
Vanessa Lopez-Marrero
Tao Zhang
...
Fan Yang
Foluso Ladeinde
Yangang Liu
Meifeng Lin
Lingda Li
AI4CE
50
2
0
23 Sep 2024
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics
Dongyu Luo
Jianyu Wu
Jing Wang
Hairun Xie
Xiangyu Yue
Shixiang Tang
DiffM
AI4CE
64
2
0
20 Sep 2024
ASPINN: An asymptotic strategy for solving singularly perturbed differential equations
Sen Wang
Peizhi Zhao
Tao Song
116
0
0
20 Sep 2024
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling
Manuel Bianchi Bazzi
Asad Ali Shahid
Christopher Agia
J. I. Alora
Marco Forgione
Dario Piga
Francesco Braghin
Marco Pavone
L. Roveda
LM&Ro
AI4CE
60
0
0
18 Sep 2024
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model
Derek Jollie
Jingmin Sun
Zecheng Zhang
Hayden Schaeffer
AI4TS
88
4
0
17 Sep 2024
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics
Sawan Kumar
R. Nayek
Souvik Chakraborty
102
4
0
17 Sep 2024
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
97
9
0
15 Sep 2024
Neumann Series-based Neural Operator for Solving Inverse Medium Problem
Ziyang Liu
Fukai Chen
Junqing Chen
L. Qiu
Zuoqiang Shi
AI4CE
65
2
0
14 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
S. Shahane
Sheide Chammas
Deniz A. Bezgin
Aaron B. Buhendwa
Steffen J. Schmidt
...
Spencer H. Bryngelson
Yi-Fan Chen
Qing Wang
Fei Sha
Leonardo Zepeda-Núñez
70
2
0
13 Sep 2024
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition
Milad Ramezankhani
Rishi Parekh
A. Deodhar
Dagnachew Birru
AI4CE
51
0
0
13 Sep 2024
Biomimetic Frontend for Differentiable Audio Processing
Ruolan Leslie Famularo
D. Zotkin
S. Shamma
R. Duraiswami
AI4TS
80
0
0
13 Sep 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling
Vivek Oommen
Aniruddha Bora
Zhen Zhang
George Karniadakis
DiffM
128
19
0
13 Sep 2024
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification
J. Hart
I. Manickam
M. Gulian
L. Swiler
D. Bull
T. Ehrmann
H. Brown
B. Wagman
J. Watkins
60
6
0
10 Sep 2024
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
David Millard
Arielle Carr
Stéphane Gaudreault
81
4
0
10 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
Alex Glyn-Davies
Arnaud Vadeboncoeur
O. Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
PINN
139
0
0
10 Sep 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
Ye Li
Ting Du
Yiwen Pang
Zhongyi Huang
91
1
0
07 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
75
0
0
07 Sep 2024
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
Freya Shah
T. Patti
Julius Berner
Bahareh Tolooshams
Jean Kossaifi
Anima Anandkumar
74
2
0
05 Sep 2024
Adversarial Learning for Neural PDE Solvers with Sparse Data
Yunpeng Gong
Yongjie Hou
Zhenzhong Wang
Zexin Lin
Min Jiang
AAML
74
10
0
04 Sep 2024
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang
Md Nasim
Yexiang Xue
97
0
0
02 Sep 2024
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid
Subhankar Sarkar
Souvik Chakraborty
68
1
0
01 Sep 2024
Generating Physical Dynamics under Priors
Zihan Zhou
Xiaoxue Wang
Tianshu Yu
DiffM
AI4CE
148
1
0
01 Sep 2024
Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
Yaxin Mo
Luca Magri
AI4CE
67
0
0
30 Aug 2024
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
Rodrigo Diaz
Carlos De La Vega Martin
Mark Sandler
65
3
0
29 Aug 2024
Fourier Spectral Physics Informed Neural Network: An Efficient and Low-Memory PINN
Tianchi Yu
Yiming Qi
Ivan Oseledets
Shiyi Chen
71
0
0
29 Aug 2024
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
Zakaria Elabid
Lena Sasal
Daniel Busby
Abdenour Hadid
AI4CE
76
1
0
29 Aug 2024
LeMON: Learning to Learn Multi-Operator Networks
Jingmin Sun
Zecheng Zhang
Hayden Schaeffer
99
7
0
28 Aug 2024
Data-driven Effective Modeling of Multiscale Stochastic Dynamical Systems
Yuán Chen
Dongbin Xiu
77
0
0
27 Aug 2024
General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equations
Sen Wang
Peizhi Zhao
Qinglong Ma
Tao Song
PINN
69
3
0
27 Aug 2024
STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs
Alberto Pepe
Sven Buchholz
Joan Lasenby
70
0
0
24 Aug 2024
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen
Ying Fu
Lin Gu
Chenggang Yan
Tatsuya Harada
Gao Huang
3DV
116
33
0
23 Aug 2024
Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements
Janina Enrica Schutte
Martin Eigel
AI4CE
57
1
0
20 Aug 2024
Inferring Underwater Topography with FINN
Coşku Can Horuz
Matthias Karlbauer
T. Praditia
S. Oladyshkin
Wolfgang Nowak
Sebastian Otte
AI4CE
62
0
0
20 Aug 2024
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems
Haoyang Jiang
Yongzhi Qu
AI4CE
63
0
0
20 Aug 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
Matteo Salvador
Alison L. Marsden
AI4CE
93
1
0
19 Aug 2024
A systematic dataset generation technique applied to data-driven automotive aerodynamics
Mark Benjamin
Gianluca Iaccarino
92
1
0
14 Aug 2024
Operator Learning Using Random Features: A Tool for Scientific Computing
Nicholas H. Nelsen
Andrew M. Stuart
101
14
0
12 Aug 2024
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model
Haoyu Qin
Yungang Chen
Qianchuan Jiang
Pengchao Sun
Xiancai Ye
Chao Lin
Mamba
AI4CE
71
1
0
12 Aug 2024
Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
Chi Chiu So
Siu Pang Yung
112
8
0
09 Aug 2024
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
Xi Han
Fei Hou
Hong Qin
AI4CE
72
2
0
09 Aug 2024
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators
Chuwei Wang
Julius Berner
Zongyi Li
Di Zhou
Jiayun Wang
Jane Bae
Anima Anandkumar
AI4CE
82
3
0
09 Aug 2024
A TVD neural network closure and application to turbulent combustion
Seung Won Suh
J. MacArt
Luke N Olson
Jonathan B Freund
PINN
76
0
0
06 Aug 2024
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
Ankur Mahesh
William D. Collins
Boris Bonev
Noah D. Brenowitz
Y. Cohen
...
Michael S. Pritchard
David Pruitt
Mark Risser
Shashank Subramanian
Jared Willard
163
12
0
06 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffM
AI4CE
139
5
0
06 Aug 2024
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving
Varun V. Kumar
S. Goswami
Katiana Kontolati
Michael D. Shields
George Em Karniadakis
AI4CE
82
8
0
05 Aug 2024
Optimal Estimation of Structured Covariance Operators
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
98
4
0
04 Aug 2024
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams
M. Eshaghi
M. Bamdad
C. Anitescu
Yizheng Wang
X. Zhuang
Timon Rabczuk
AI4CE
91
8
0
04 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE
Zhi-Song Liu
Petri S. Clusius
Michael Boy
125
3
0
03 Aug 2024
Physics-Informed Geometry-Aware Neural Operator
Weiheng Zhong
Hadi Meidani
AI4CE
84
4
0
02 Aug 2024
Previous
1
2
3
...
6
7
8
...
25
26
27
Next