Learning Mesh-Based Simulation with Graph Networks

7 October 2020

Tobias Pfaff

Meire Fortunato

Alvaro Sanchez-Gonzalez

Peter W. Battaglia

AI4CE

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Papers citing "Learning Mesh-Based Simulation with Graph Networks"

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Title
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan Rui Zhang Qi Wang Y. Liu Hao Sun PINN 35 0 0 03 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 51 0 0 28 Apr 2025
Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling Yu-Hsuan Chen Jing Bi Cyril Ngo Ngoc Victor Oancea Jonathan Cagan L. Kara AI4CE 24 0 0 27 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 47 0 0 24 Apr 2025
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset Jiaqi He Xiangwen Luo Yiping Wang AI4CE 32 0 0 11 Apr 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction Han Wan Qi Wang Hao Sun Hao Sun AI4CE 46 0 0 13 Mar 2025
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 50 0 0 11 Mar 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 75 3 0 20 Feb 2025
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Benedikt Alkin Tobias Kronlachner Samuele Papa Stefan Pirker Thomas Lichtenegger Johannes Brandstetter PINN AI4CE 38 1 1 14 Nov 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 30 1 0 21 Oct 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering Jiaxu Wang Jingkai Sun Junhao He Ziyi Zhang Qiang Zhang Mingyuan Sun Renjing Xu AI4CE 30 0 0 11 Oct 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 39 0 0 10 Oct 2024
H-SIREN: Improving implicit neural representations with hyperbolic periodic functions Rui Gao R. Jaiman AI4CE 24 2 0 07 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Anthony Y. Zhou Zijie Li Michael Schneier John R Buchanan Jr Amir Barati Farimani AI4CE DiffM 52 5 0 02 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang M. Yan Y. Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 21 3 0 02 Oct 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 99 0 0 12 Sep 2024
Differentiable programming across the PDE and Machine Learning barrier N. Bouziani David A. Ham Ado Farsi PINN AI4CE 32 1 0 09 Sep 2024
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 34 0 0 26 Aug 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics Matthias Karlbauer Danielle C. Maddix Abdul Fatir Ansari Boran Han Gaurav Gupta Yuyang Wang Andrew Stuart Michael W. Mahoney AI4TS 42 1 0 19 Jul 2024
PICA: Physics-Integrated Clothed Avatar Bo Peng Yunfan Tao Haoyu Zhan Yudong Guo Juyong Zhang AI4CE 3DH 34 3 0 07 Jul 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 36 5 0 24 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 41 4 0 06 Jun 2024
Garment3DGen: 3D Garment Stylization and Texture Generation N. Sarafianos Tuur Stuyck Xiaoyu Xiang Yilei Li Jovan Popovic Rakesh Ranjan 3DH 102 17 0 27 Mar 2024
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction Mohamed Elrefaie Angela Dai Faez Ahmed DiffM AI4CE 46 9 0 12 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 35 8 0 19 Feb 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 64 5 0 18 Feb 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 19 0 0 04 Feb 2024
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 24 16 0 19 Jan 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 16 2 0 08 Jan 2024
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 32 7 0 21 Nov 2023
Learning to Optimise Wind Farms with Graph Transformers Siyi Li Arnaud Robert A. A. Faisal M. Piggott 22 4 0 21 Nov 2023
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 18 9 0 08 Oct 2023
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics G. Bruni Md Tahmid Rahman Laskar Jimmy X. Huang AI4CE 18 0 0 06 Oct 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 30 13 0 28 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 15 18 0 11 Sep 2023
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 23 127 0 01 Sep 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks N. R. Franco S. Fresca Filippo Tombari Andrea Manzoni AI4CE 19 16 0 03 Aug 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 16 1 0 26 Jul 2023
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes Sebastian Strönisch Maximilian Sander A. Knüpfer M. Meyer AI4CE 14 8 0 25 Jul 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 19 0 0 18 Jun 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 37 8 0 22 Apr 2023
Robust Body Exposure (RoBE): A Graph-based Dynamics Modeling Approach to Manipulating Blankets over People Kavya Puthuveetil S. Wald Atharva Pusalkar Pratyusha Karnati Zackory M. Erickson 19 4 0 10 Apr 2023
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 31 4 0 06 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur P. Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 11 5 0 31 Mar 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs Ori Linial Orly Avner Dotan Di Castro 34 0 0 28 Mar 2023
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
Towards Better Dynamic Graph Learning: New Architecture and Unified Library Le Yu Leilei Sun Bowen Du Weifeng Lv AI4CE 14 96 0 23 Mar 2023
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks Luca Pegolotti Martin R. Pfaller Natalia L. Rubio Ke Ding Rita Brugarolas Brufau Eric F. Darve Alison L. Marsden AI4CE 46 31 0 13 Mar 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition Xinquan Huang Wenlei Shi Qi Meng Yue Wang Xiaotian Gao Jia Zhang Tie-Yan Liu AI4CE 12 8 0 20 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 21 15 0 02 Feb 2023