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2309.15325
Cited By
Neural Operators for Accelerating Scientific Simulations and Design
27 September 2023
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
Jean Kossaifi
Anima Anandkumar
AI4CE
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Papers citing
"Neural Operators for Accelerating Scientific Simulations and Design"
19 / 19 papers shown
Title
Deep Physics Prior for First Order Inverse Optimization
Haoyu Yang
Kamyar Azizzadenesheli
Haoxing Ren
PINN
AI4CE
75
0
0
28 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
42
0
0
24 Apr 2025
Fourier Neural Operator based surrogates for
C
O
2
CO_2
C
O
2
storage in realistic geologies
Anirban Chandra
Marius Koch
Suraj Pawar
Aniruddha Panda
Kamyar Azizzadenesheli
...
Farah Hariri
Clement Etienam
Pandu Devarakota
Anima Anandkumar
Detlef Hohl
AI4CE
34
3
0
14 Mar 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
Jinouwen Zhang
Junjie Ren
A. Yang
Yan Lu
Lu Chen
Hairun Xie
Jing Wang
Miao Zhang
W. Ouyang
Shixiang Tang
47
0
0
15 Feb 2025
COAST: Intelligent Time-Adaptive Neural Operators
Z. Wu
Shiyang Zhang
Sizhuang He
Sifan Wang
M. Zhu
Anran Jiao
Lu Lu
David van Dijk
78
1
0
12 Feb 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Sean P. Cornelius
65
2
0
28 Jan 2025
Radial Basis Operator Networks
Jason Kurz
Sean Oughton
Shitao Liu
23
0
0
06 Oct 2024
Scientific Machine Learning Seismology
Tomohisa Okazaki
PINN
AI4CE
41
0
0
27 Sep 2024
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
23
4
0
24 Sep 2024
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
Ionut-Gabriel Farcas
Rayomand P. Gundevia
R. Munipalli
Karen E. Willcox
AI4CE
39
1
0
13 Jul 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
38
1
0
07 Jun 2024
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
37
31
0
29 Sep 2023
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
Haoyu Yang
Zong-Yi Li
K. Sastry
S. Mukhopadhyay
Selim Dogru
Anima Anandkumar
D. Pan
Brucek Khailany
Haoxing Ren
27
3
0
27 Oct 2022
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
S. Lanthaler
Roberto Molinaro
Patrik Hadorn
Siddhartha Mishra
34
23
0
03 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
50
117
0
30 Sep 2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
105
243
0
11 Jul 2022
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
98
351
0
05 Oct 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
197
2,254
0
18 Oct 2020
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
1