Learning to Simulate Complex Physics with Graph Networks

21 February 2020

Alvaro Sanchez-Gonzalez

Papers citing "Learning to Simulate Complex Physics with Graph Networks"

50 / 595 papers shown

Title
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 33 11 0 03 Feb 2022
AI Research Associate for Early-Stage Scientific Discovery M. Behandish J. Maxwell Johan de Kleer AI4CE 10 1 0 02 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 19 42 0 01 Feb 2022
Learning Physics-Consistent Particle Interactions Zhichao Han David S. Kammer Olga Fink 9 7 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 70 42 0 01 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 18 7 0 31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 95 45 0 30 Jan 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 9 4 0 28 Jan 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 33 26 0 28 Jan 2022
Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks Yongxu Jin Yushan Han Z. Geng Joseph Teran Ronald Fedkiw 12 5 0 25 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 43 21 0 24 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 11 72 0 22 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation Kimberly L. Stachenfeld D. Fielding Dmitrii Kochkov M. Cranmer Tobias Pfaff Jonathan Godwin Can Cui S. Ho Peter W. Battaglia Alvaro Sanchez-Gonzalez AI4CE 27 77 0 31 Dec 2021
Frame invariance and scalability of neural operators for partial differential equations M. Zafar Jiequn Han Xueqing Zhou Heng Xiao 16 5 0 28 Dec 2021
Latent Space Simulation for Carbon Capture Design Optimization Brian Bartoldson Rui Wang Yu-Hang Fu David Widemann Sam Nguyen J. Bao Zhijie Xu Brenda Ng 20 3 0 22 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Deep Surrogate for Direct Time Fluid Dynamics Lucas Meyer Louen Pottier Alejandro Ribés Bruno Raffin AI4CE 13 7 0 16 Dec 2021
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas Henrik Hoiness Kristoffer Gjerde L. Oggiano K. E. Giljarhus M. Ruocco DiffM AI4CE 14 4 0 15 Dec 2021
Graph network for learning bi-directional physics Sakthi Kumar Arul Prakash Conrad S. Tucker PINN AI4CE 6 2 0 13 Dec 2021
Flexible Networks for Learning Physical Dynamics of Deformable Objects Jinhyung D. Park Dohae Lee In-Kwon Lee 3DPC AI4CE 17 2 0 07 Dec 2021
Graph Neural Networks Accelerated Molecular Dynamics Zijie Li Kazem Meidani Prakarsh Yadav A. Farimani GNN AI4CE 8 52 0 06 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
Hamiltonian latent operators for content and motion disentanglement in image sequences Asif Khan Amos Storkey 11 2 0 02 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 26 141 0 27 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 23 87 0 23 Nov 2021
Image Based Reconstruction of Liquids from 2D Surface Detections Florian Richter Ryan K. Orosco Michael C. Yip 8 7 0 22 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 15 4 0 22 Nov 2021
Spectral Transform Forms Scalable Transformer Bingxin Zhou Xinliang Liu Yuehua Liu Yunyin Huang Pietro Lió Yuguang Wang 50 6 0 15 Nov 2021
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks Pál András Papp Karolis Martinkus Lukas Faber Roger Wattenhofer GNN 17 138 0 11 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems Dohae Lee Young-Jin Oh In-Kwon Lee BDL 16 1 0 10 Nov 2021
Manipulation of Granular Materials by Learning Particle Interactions Neea Tuomainen David Blanco Mulero Ville Kyrki 11 20 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 20 91 0 02 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 22 7 0 24 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 41 6 0 07 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 17 228 0 06 Oct 2021
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 37 95 0 05 Oct 2021
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara S. Sarkar Baskar Ganapathysubramanian A. Krishnamurthy C. Hegde 17 4 0 04 Oct 2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators Vladislav Kurenkov Bulat Maksudov 17 2 0 01 Oct 2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook M. G. Olsen K. Halvorsen Lei Jiao Kristian Muri Knausgård A. H. Martin M. Moyano Rebekah A. Oomen J. H. Rasmussen T. K. Sørdalen Susanna Huneide Thorbjørnsen 14 27 0 29 Sep 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Peter Yichen Chen Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 21 15 0 25 Sep 2021
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 68 73 0 25 Sep 2021
DeepPhysics: a physics aware deep learning framework for real-time simulation Alban Odot Ryadh Haferssas S. Cotin PINN AI4CE 14 27 0 17 Sep 2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design Craig Innes S. Ramamoorthy 14 5 0 16 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 32 54 0 16 Sep 2021
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems Jiayang Xu Aniruddhe Pradhan Karthikeyan Duraisamy AI4CE 29 28 0 15 Sep 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 59 0 15 Sep 2021
Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations J. Duvall Karthik Duraisamy Shaowu Pan AI4CE 21 3 0 14 Sep 2021