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
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
Learning a General Model: Folding Clothing with Topological Dynamics Yiming Liu Lijun Han Enlin Gu Hesheng Wang AI4CE 88 0 0 29 Apr 2025
Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation Aditya S Ellendula Chandrajit Bajaj 17 0 0 25 Apr 2025
LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method Yue Li 24 0 0 20 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation Aoran Liu Kun Hu Clinton Mo C. Li Zhiyong Wang 3DH AI4CE 36 0 0 16 Apr 2025
Emergence of Computational Structure in a Neural Network Physics Simulator Rohan Hitchcock Gary W. Delaney J. Manton Richard Scalzo Jingge Zhu 27 0 0 16 Apr 2025
MLPs and KANs for data-driven learning in physical problems: A performance comparison Raghav Pant Sikan Li Xingjian Li Hassan Iqbal Krishna Kumar AI4CE 43 0 0 15 Apr 2025
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning Saif Punjwani Larry Heck LRM 27 0 0 14 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
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks Marius Kurz Andrea Beck Benjamin Sanderse AI4CE 26 0 0 10 Apr 2025
Benchmarking Convolutional Neural Network and Graph Neural Network based Surrogate Models on a Real-World Car External Aerodynamics Dataset Sam Jacob Jacob Markus Mrosek C. Othmer Harald Köstler GNN 50 0 0 09 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities Marc Fransen Andreas Fürst D. Tunuguntla Daniel N. Wilke Benedikt Alkin ... Takayuki Shuku WaiChing Sun T. Weinhart Dongwei Ye Hongyang Cheng AI4CE 29 0 0 01 Apr 2025
Efficient n-body simulations using physics informed graph neural networks Víctor Ramos-Osuna Alberto Díaz-Álvarez Raúl Lara-Cabrera AI4CE 31 0 0 01 Apr 2025
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation C. Karen Liu Yunzhu Li Kris Hauser AI4CE 31 0 0 30 Mar 2025
Generative Latent Neural PDE Solver using Flow Matching Zijie Li Anthony Y. Zhou Amir Barati Farimani DiffM AI4CE 67 0 0 28 Mar 2025
Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions Sanghyuk Kim Minsik Seo Namwoo Kang AI4CE 43 0 0 25 Mar 2025
Graph neural networks extrapolate out-of-distribution for shortest paths Robert Nerem Samantha Chen Sanjoy Dasgupta Yusu Wang 42 0 0 24 Mar 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 60 0 0 24 Mar 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 43 1 0 24 Mar 2025
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos Hanxiao Jiang Hao-Yu Hsu Kaifeng Zhang Hsin-Ni Yu Shenlong Wang Yunzhu Li VGen AI4CE 43 3 0 23 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 39 3 0 19 Mar 2025
Advances in 4D Generation: A Survey Qiaowei Miao Kehan Li Jinsheng Quan Zhiyuan Min Shaojie Ma Yichao Xu Yi Yang Yawei Luo 51 0 0 18 Mar 2025
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components Haoran Li Yingxue Zhao Haosu Zhou Tobias Pfaff Nan Li 41 0 0 16 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs Milan Papez Martin Rektoris Václav Smídl Tomás Pevný TPM 78 0 0 15 Mar 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
GraphGarment: Learning Garment Dynamics for Bimanual Cloth Manipulation Tasks Wei Chen Kelin Li Dongmyoung Lee Xiaoshuai Chen Rui Zong Petar Kormushev AI4CE 41 0 0 04 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 41 0 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 37 0 0 01 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
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 64 4 0 17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 102 0 0 13 Feb 2025
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations Rishikesh Ranade M. A. Nabian Kaustubh Tangsali Alexey Kamenev O. Hennigh Ram Cherukuri S. Choudhry AI4CE 84 2 0 23 Jan 2025
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining Nathan Vaska Justin Goodwin Robin Walters Rajmonda S. Caceres AAML AI4CE 58 0 0 17 Jan 2025
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems Vinay Sharma Olga Fink AI4CE 31 1 0 13 Jan 2025
EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Prediction Qingwen Tian Yuxin Xu Yixuan Yang Zhen Wang Ziqi Liu Pengju Yan Xiaolin Li 69 0 0 15 Dec 2024
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systems Rui-Qi Li Song Wang Chen Wang AI4CE 72 0 0 10 Dec 2024
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network Yuxuan Gu Catherine Spurin Gege Wen AI4CE 76 0 0 21 Nov 2024
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach Sasa Ilic Abdulkerim Karaman Johannes Pöppelbaum Jan Niclas Reimann Michael Marré Andreas Schwung AI4CE 62 0 0 20 Nov 2024
UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments Chunru Lin Jugang Fan Yian Wang Zeyuan Yang Zhehuan Chen Lixing Fang Tsun-Hsuan Wang Zhou Xian Chuang Gan 71 1 0 19 Nov 2024
D4W: Dependable Data-Driven Dynamics for Wheeled Robots Yunfeng Lin Minghuan Liu Yong Yu 31 0 0 14 Nov 2024
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
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification Benedict Aaron Tjandra Federico Barbero Michael M. Bronstein 30 1 0 06 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems Beomseok Kang Priyabrata Saha Sudarshan Sharma Biswadeep Chakraborty Saibal Mukhopadhyay OffRL 27 1 0 03 Nov 2024
P $^2$ C $^2$ Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics Qi Wang Pu Ren Hao Zhou Xin-Yang Liu Z. Deng ... Zidong Wang Jian-Xun Wang Ji-Rong_Wen Hao Sun Yang Liu 56 5 0 29 Oct 2024
Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling Mingtong Zhang Kaifeng Zhang Yunzhu Li 3DGS AI4CE 23 5 0 24 Oct 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers Parsa Esmati Amirhossein Dadashzadeh Vahid Goodarzi Nicolas Larrosa Nicolo Grilli 27 0 0 20 Oct 2024
Geometric Trajectory Diffusion Models Jiaqi Han Minkai Xu Aaron Lou Haotian Ye Stefano Ermon DiffM 43 4 0 16 Oct 2024
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models Luis Barroso-Luque Muhammed Shuaibi Xiang Fu Brandon M. Wood Misko Dzamba Meng Gao Ammar Rizvi C. L. Zitnick Zachary W. Ulissi AI4CE PINN 24 16 0 16 Oct 2024
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks Nelson Chen Kun Wang William R. Johnson III Rebecca Kramer-Bottiglio Kostas Bekris Mridul Aanjaneya AI4CE 24 0 0 16 Oct 2024