Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

12 October 2022

Papers citing "Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics"

21 / 21 papers shown

Title
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Junyi Cao Shanyan Guan Yanhao Ge Wei Li Xiaokang Yang Chao Ma AI4CE 31 5 0 10 Oct 2024
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation Huayu Deng Xiangming Zhu Yunbo Wang Xiaokang Yang PINN AI4CE 29 0 0 03 Oct 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 29 0 0 15 Jul 2024
Towards Universal Mesh Movement Networks Mingrui Zhang Chunyang Wang Stephan Kramer Joseph G. Wallwork Siyi Li Jiancheng Liu Xiang Chen M. Piggott AI4CE 25 0 0 29 Jun 2024
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video Xiangming Zhu Huayu Deng Haochen Yuan Yunbo Wang Xiaokang Yang AI4CE VGen PINN 35 1 0 18 Jun 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell Nils Thuerey 30 2 0 03 May 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence Michael Chertkov AI4CE 30 2 0 26 Mar 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 32 5 0 27 Feb 2024
Inferring Hybrid Neural Fluid Fields from Videos Hong-Xing Yu Yang Zheng Yuan Gao Yitong Deng Bo Zhu Jiajun Wu 3DH 22 15 0 11 Dec 2023
Efficient Generation of Multimodal Fluid Simulation Data Daniele Baieri Donato Crisostomi Stefano Esposito Filippo Maggioli Emanuele Rodolà DiffM 21 0 0 30 Oct 2023
Learning the dynamics of a one-dimensional plasma model with graph neural networks Diogo D Carvalho Diogo R Ferreira Luís O Silva AI4CE 6 0 0 26 Oct 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
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite Stefania Costantini Gianluca Galletti Fabian Fritz Stefan Adami Nikolaus A. Adams 30 13 0 28 Sep 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 16 63 0 27 May 2023
MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid Interaction Jin Li Yang Gao Ju Dai Shuai Li Aimin Hao Hong Qin PINN AI4CE 13 7 0 05 May 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 21 8 0 28 Mar 2023
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 203 2,272 0 18 Oct 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 165 161 0 15 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016
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 258 1,398 0 01 Dec 2016