Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

8 July 2020

Filipe de Avila Belbute-Peres

T. Economon

J. Zico Kolter

AI4CE

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Papers citing "Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction"

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Title
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 21 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 16 28 0 15 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 32 13 0 14 Sep 2021
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery Yasmin Salehi D. Giannacopoulos AI4CE 10 27 0 09 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 12 9 0 05 Sep 2021
An FEA surrogate model with Boundary Oriented Graph Embedding approach XingYu Fu Fengfeng Zhou Dheeraj Peddireddy Zhengyang Kang M. Jun Vaneet Aggarwal AI4CE 37 2 0 30 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 20 120 0 04 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 18 62 0 02 Jul 2021
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs Pu Ren Chengping Rao Yang Liu Jianxun Wang Hao-Lun Sun DiffM AI4CE 29 191 0 26 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 10 252 0 21 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 12 48 0 09 Jun 2021
Encoding physics to learn reaction-diffusion processes Chengping Rao Pu Ren Qi Wang O. Buyukozturk Haoqin Sun Yang Liu PINN AI4CE DiffM 12 72 0 09 Jun 2021
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 29 4 0 02 Jun 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 47 12 0 06 May 2021
Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang T. Dzanic Brenden K. Petersen Junpei Kudo K. Mittal ... T. Zhao H. Zha T. Kolev Robert W. Anderson D. Faissol AI4CE 12 43 0 01 Mar 2021
A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng Yi Zhou Duygu Ceylan J. Barbič 3DH 9 25 0 01 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 11 54 0 25 Feb 2021
Learning orbital dynamics of binary black hole systems from gravitational wave measurements B. Keith Akshay Khadse Scott E. Field 16 8 0 25 Feb 2021
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 12 737 0 07 Oct 2020
Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics S. Xiong Xingzhe He Yunjin Tong Yitong Deng Bo Zhu 4 11 0 07 Jun 2020
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables Maximilian Rixner P. Koutsourelakis AI4CE 6 17 0 02 Jun 2020
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 165 161 0 15 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016