Neural Operators for Accelerating Scientific Simulations and Design

27 September 2023

Kamyar Azzizadenesheli

Nikola B. Kovachki

Zong-Yi Li

Miguel Liu-Schiaffini

Papers citing "Neural Operators for Accelerating Scientific Simulations and Design"

26 / 26 papers shown

Title
PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations Md Rakibul Hasan Pouria Behnoudfar Dan MacKinlay Thomas Poulet GAN 34 0 0 10 May 2025
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 52 0 0 24 Apr 2025
Fourier Neural Operator based surrogates for $CO_2$ 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 53 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 159 0 0 15 Feb 2025
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion Zhikai Wu Sifan Wang Shiyang Zhang Sizhuang He Min Zhu Anran Jiao Lu Lu David van Dijk 96 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 85 2 0 28 Jan 2025
Radial Basis Operator Networks Jason Kurz Sean Oughton Shitao Liu 41 0 0 06 Oct 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 48 0 0 27 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 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 44 1 0 13 Jul 2024
Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators Karan Shah A. Cangi AI4CE 21 1 0 12 Jul 2024
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
Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani Marvin Pfortner Tobias Weber Philipp Hennig UQCV 66 1 0 07 Jun 2024
Solving Poisson Equations using Neural Walk-on-Spheres Hong Chul Nam Julius Berner Anima Anandkumar 37 3 0 05 Jun 2024
Physics informed cell representations for variational formulation of multiscale problems Yuxiang Gao Soheil Kolouri R. Duddu AI4CE 32 0 0 27 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks R. Mattey Susanta Ghosh AI4CE 43 1 0 09 May 2024
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 26 22 0 06 Mar 2024
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs Jean Kossaifi Nikola B. Kovachki Kamyar Azizzadenesheli Anima Anandkumar AI4CE 42 33 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 David Z. Pan Brucek Khailany Haoxing Ren 35 3 0 27 Oct 2022
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities S. Lanthaler Roberto Molinaro Patrik Hadorn Siddhartha Mishra 51 24 0 03 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 55 118 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 119 251 0 11 Jul 2022
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 114 355 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 220 2,287 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 280 1,400 0 01 Dec 2016