Predicting Physics in Mesh-reduced Space with Temporal Attention

22 January 2022

Xu Han

Papers citing "Predicting Physics in Mesh-reduced Space with Temporal Attention"

29 / 29 papers shown

Title
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang Ming Yan Yang Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 183 4 0 02 Oct 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 117 2 0 04 Jul 2024
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems Jiayang Xu Aniruddhe Pradhan Karthikeyan Duraisamy AI4CE 41 29 0 15 Sep 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen Xu Han Jiajing Hu Francisco J. R. Ruiz Liping Liu BDL 38 35 0 11 Jun 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 110 865 0 28 Jan 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 58 214 0 28 Jan 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 92 111 0 20 Dec 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 79 786 0 07 Oct 2020
Transformers for Modeling Physical Systems N. Geneva N. Zabaras AI4CE 39 143 0 04 Oct 2020
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows Hamidreza Eivazi H. Veisi M. H. Naderi V. Esfahanian AI4CE 56 172 0 02 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 52 270 0 30 Jun 2020
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 45 175 0 13 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 133 1,089 0 21 Feb 2020
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics Jiayang Xu Karthik Duraisamy AI4CE 47 142 0 23 Dec 2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 39 365 0 20 Nov 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 125 1,086 0 11 May 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 46 218 0 26 Apr 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 53 75 0 18 Apr 2019
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 80 385 0 18 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 72 397 0 03 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 289 2,146 0 22 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 406 5,099 0 19 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 199 599 0 04 Jun 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks Pantelis R. Vlachas Wonmin Byeon Z. Y. Wan T. Sapsis Petros Koumoutsakos AI4TS 55 473 0 21 Feb 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 128 1,679 0 15 Feb 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 71 1,250 0 27 Dec 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 687 131,526 0 12 Jun 2017
Liquid Splash Modeling with Neural Networks Kiwon Um Xiangyu Y. Hu N. Thürey 60 88 0 14 Apr 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 551 7,989 0 13 Jun 2015