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Fourier Neural Operator for Parametric Partial Differential Equations

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
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Papers citing "Fourier Neural Operator for Parametric Partial Differential Equations"

50 / 1,297 papers shown
Title
HOSC: A Periodic Activation Function for Preserving Sharp Features in
  Implicit Neural Representations
HOSC: A Periodic Activation Function for Preserving Sharp Features in Implicit Neural Representations
Danzel Serrano
Jakub Szymkowiak
Przemyslaw Musialski
13
5
0
20 Jan 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu
Jiaqi Han
Aaron Lou
Jean Kossaifi
Arvind Ramanathan
Kamyar Azizzadenesheli
J. Leskovec
Stefano Ermon
A. Anandkumar
AI4CE
42
17
0
19 Jan 2024
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model
  Reduction for Operator Learning
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning
Hao Liu
Biraj Dahal
Rongjie Lai
Wenjing Liao
AI4CE
34
5
0
19 Jan 2024
Approximation of Solution Operators for High-dimensional PDEs
Approximation of Solution Operators for High-dimensional PDEs
Nathan Gaby
Xiaojing Ye
30
0
0
18 Jan 2024
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
BENO: Boundary-embedded Neural Operators for Elliptic PDEs
Haixin Wang
Jiaxin Li
Anubhav Dwivedi
Kentaro Hara
Tailin Wu
32
7
0
17 Jan 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace
  Recycling
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
Hong Wang
Zhongkai Hao
Jie Wang
Zijie Geng
Zhen Wang
Bin Li
Fengli Wu
19
3
0
17 Jan 2024
Space and Time Continuous Physics Simulation From Partial Observations
Space and Time Continuous Physics Simulation From Partial Observations
Steeven Janny
Madiha Nadri Wolf
Julie Digne
Christian Wolf
AI4CE
47
5
0
17 Jan 2024
RiemannONets: Interpretable Neural Operators for Riemann Problems
RiemannONets: Interpretable Neural Operators for Riemann Problems
Ahmad Peyvan
Vivek Oommen
Ameya Dilip Jagtap
George Karniadakis
AI4CE
44
22
0
16 Jan 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar
  Nonlinear Conservation Laws
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws
Liu Yang
Stanley J. Osher
AI4CE
48
19
0
14 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
A novel framework for generalization of deep hidden physics models
A novel framework for generalization of deep hidden physics models
Vijay Kag
Birupaksha Pal
AI4CE
13
0
0
09 Jan 2024
Generative adversarial wavelet neural operator: Application to fault
  detection and isolation of multivariate time series data
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
Jyoti Rani
Tapas Tripura
H. Kodamana
Souvik Chakraborty
35
5
0
08 Jan 2024
Inverse Nonlinearity Compensation of Hyperelastic Deformation in
  Dielectric Elastomer for Acoustic Actuation
Inverse Nonlinearity Compensation of Hyperelastic Deformation in Dielectric Elastomer for Acoustic Actuation
J. Lee
G. An
Jeong-Yun Sun
Kyogu Lee
13
0
0
08 Jan 2024
Nonlinear functional regression by functional deep neural network with kernel embedding
Nonlinear functional regression by functional deep neural network with kernel embedding
Zhongjie Shi
Jun Fan
Linhao Song
Ding-Xuan Zhou
Johan A. K. Suykens
65
5
0
05 Jan 2024
Integration of physics-informed operator learning and finite element
  method for parametric learning of partial differential equations
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
Shahed Rezaei
Ahmad Moeineddin
Michael Kaliske
Markus Apel
AI4CE
49
5
0
04 Jan 2024
A quatum inspired neural network for geometric modeling
A quatum inspired neural network for geometric modeling
Weitao Du
Shengchao Liu
Xuecang Zhang
AI4CE
35
0
0
03 Jan 2024
Approximating Numerical Fluxes Using Fourier Neural Operators for
  Hyperbolic Conservation Laws
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
Taeyoung Kim
Myungjoo Kang
AI4CE
25
2
0
03 Jan 2024
Pontryagin Neural Operator for Solving Parametric General-Sum
  Differential Games
Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games
Lei Zhang
Mukesh Ghimire
Zhenni Xu
Wenlong Zhang
Yi Ren
30
3
0
03 Jan 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid
  Neural Modeling
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
Deepak Akhare
Tengfei Luo
Jian-Xun Wang
35
6
0
30 Dec 2023
Learning About Structural Errors in Models of Complex Dynamical Systems
Learning About Structural Errors in Models of Complex Dynamical Systems
Jin-Long Wu
Matthew E. Levine
Tapio Schneider
Andrew M. Stuart
AI4CE
21
17
0
29 Dec 2023
Operator learning for hyperbolic partial differential equations
Operator learning for hyperbolic partial differential equations
Christopher Wang
Alex Townsend
42
2
0
29 Dec 2023
PINN surrogate of Li-ion battery models for parameter inference. Part I:
  Implementation and multi-fidelity hierarchies for the single-particle model
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
26
7
0
28 Dec 2023
Backstepping Neural Operators for $2\times 2$ Hyperbolic PDEs
Backstepping Neural Operators for 2×22\times 22×2 Hyperbolic PDEs
Shanshan Wang
M. Diagne
Miroslav Krstić
35
4
0
28 Dec 2023
HyperDeepONet: learning operator with complex target function space
  using the limited resources via hypernetwork
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee
S. Cho
H. Hwang
25
22
0
26 Dec 2023
Report of the DOE/NSF Workshop on Correctness in Scientific Computing,
  June 2023, Orlando, FL
Report of the DOE/NSF Workshop on Correctness in Scientific Computing, June 2023, Orlando, FL
Maya Gokhale
Ganesh Gopalakrishnan
Jackson Mayo
Santosh Nagarakatte
Cindy Rubio-González
Stephen F. Siegel
41
3
0
25 Dec 2023
Neural Born Series Operator for Biomedical Ultrasound Computed
  Tomography
Neural Born Series Operator for Biomedical Ultrasound Computed Tomography
Zhijun Zeng
Yihang Zheng
Youjia Zheng
Yubing Li
Zuoqiang Shi
He Sun
45
1
0
25 Dec 2023
A Mathematical Guide to Operator Learning
A Mathematical Guide to Operator Learning
Nicolas Boullé
Alex Townsend
37
38
0
22 Dec 2023
Improving the Expressive Power of Deep Neural Networks through Integral
  Activation Transform
Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform
Zezhong Zhang
Feng Bao
Guannan Zhang
22
0
0
19 Dec 2023
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction
  Downscaling
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling
Pengwei Liu
Wen-wu Wang
Bingqing Peng
Binqing Wu
Liang Sun
AI4Cl
19
0
0
19 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
39
2
0
19 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh
  Transformer
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu
Jeongwhan Choi
Woojin Cho
Kookjin Lee
Nayong Kim
...
Ilho Kim
Seok-Woo Lee
Joon Young Yang
S. Yoon
Noseong Park
AI4CE
23
7
0
19 Dec 2023
Harnessing the Power of Neural Operators with Automatically Encoded
  Conservation Laws
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
Ning Liu
Yiming Fan
Xianyi Zeng
Milan Klöwer
Lu Zhang
Yue Yu
AI4CE
24
8
0
18 Dec 2023
Inducing Point Operator Transformer: A Flexible and Scalable
  Architecture for Solving PDEs
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
Seungjun Lee
Taeil Oh
31
6
0
18 Dec 2023
Neural Operators for Boundary Stabilization of Stop-and-go Traffic
Neural Operators for Boundary Stabilization of Stop-and-go Traffic
Yihuai Zhang
Ruiguo Zhong
Huan Yu
37
8
0
16 Dec 2023
Operator-learning-inspired Modeling of Neural Ordinary Differential
  Equations
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations
Woojin Cho
Seunghyeon Cho
Hyundong Jin
Jinsung Jeon
Kookjin Lee
Sanghyun Hong
Dongeun Lee
Jonghyun Choi
Noseong Park
AI4TS
AI4CE
18
2
0
16 Dec 2023
On the locality of local neural operator in learning fluid dynamics
On the locality of local neural operator in learning fluid dynamics
Ximeng Ye
Hongyu Li
Jingjie Huang
Guoliang Qin
AI4CE
39
8
0
15 Dec 2023
Better Neural PDE Solvers Through Data-Free Mesh Movers
Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu
Yue Wang
Zhi-Ming Ma
AI4CE
33
2
0
09 Dec 2023
Rethinking materials simulations: Blending direct numerical simulations
  with neural operators
Rethinking materials simulations: Blending direct numerical simulations with neural operators
Vivek Oommen
K. Shukla
Saaketh Desai
Rémi Dingreville
George Karniadakis
AI4CE
53
16
0
08 Dec 2023
Neural Spectral Methods: Self-supervised learning in the spectral domain
Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du
N. Chalapathi
Aditi Krishnapriyan
24
6
0
08 Dec 2023
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Bürkner
38
2
0
08 Dec 2023
Attention-enhanced neural differential equations for physics-informed
  deep learning of ion transport
Attention-enhanced neural differential equations for physics-informed deep learning of ion transport
Danyal Rehman
J. Lienhard
21
2
0
05 Dec 2023
GIT-Net: Generalized Integral Transform for Operator Learning
GIT-Net: Generalized Integral Transform for Operator Learning
Chao Wang
Alexandre H. Thiery
AI4CE
37
0
0
05 Dec 2023
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series
  Forecasting Approach
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach
Jinguo Cheng
Ke Li
Keli Zhang
Lijun Sun
Junchi Yan
Yuankai Wu
AI4TS
33
2
0
04 Dec 2023
Pathway to a fully data-driven geotechnics: lessons from materials
  informatics
Pathway to a fully data-driven geotechnics: lessons from materials informatics
Stephen Wu
Yu Otake
Yosuke Higo
Ikumasa Yoshida
AI4CE
24
4
0
01 Dec 2023
DFU: scale-robust diffusion model for zero-shot super-resolution image
  generation
DFU: scale-robust diffusion model for zero-shot super-resolution image generation
Alex Havrilla
Kevin Rojas
Wenjing Liao
Molei Tao
42
1
0
30 Nov 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Tanya Marwah
Ashwini Pokle
J. Zico Kolter
Zachary Chase Lipton
Jianfeng Lu
Andrej Risteski
31
8
0
30 Nov 2023
Automatic Functional Differentiation in JAX
Automatic Functional Differentiation in JAX
Min Lin
8
3
0
30 Nov 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS
  Predictor
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
H. Loya
L. Dudziak
Abhinav Mehrotra
Royson Lee
Javier Fernandez-Marques
Nicholas D. Lane
Hongkai Wen
OOD
38
0
0
30 Nov 2023
Fourier Neural Differential Equations for learning Quantum Field
  Theories
Fourier Neural Differential Equations for learning Quantum Field Theories
Isaac Brant
Alexander Norcliffe
Pietro Lio
17
0
0
28 Nov 2023
Personalized Predictions of Glioblastoma Infiltration: Mathematical
  Models, Physics-Informed Neural Networks and Multimodal Scans
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
Ray Zirui Zhang
Ivan Ezhov
Michal Balcerak
Andy Zhu
Benedikt Wiestler
Bjoern H. Menze
John S. Lowengrub
AI4CE
52
6
0
28 Nov 2023
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