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2007.04439
Cited By
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"
50 / 123 papers shown
Title
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
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Chenyang Yuan
Frank Permenter
Nikos Arechiga
Faez Ahmed
DiffM
SyDa
AI4CE
24
15
0
26 May 2023
Importance of equivariant and invariant symmetries for fluid flow modeling
Varun Shankar
Shivam Barwey
Zico Kolter
R. Maulik
V. Viswanathan
AI4CE
22
4
0
03 May 2023
Learning Neural PDE Solvers with Parameter-Guided Channel Attention
M. Takamoto
Francesco Alesiani
Mathias Niepert
51
19
0
27 Apr 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue
Antonio Torralba
J. Tenenbaum
Daniel L. K. Yamins
Yunzhu Li
H. Tung
PINN
VGen
AI4CE
35
8
0
22 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
10
11
0
03 Apr 2023
GNN-based physics solver for time-independent PDEs
R. J. Gladstone
H. Rahmani
V. Suryakumar
Hadi Meidani
M. DÉlia
A. Zareei
AI4CE
20
15
0
28 Mar 2023
Grounding Graph Network Simulators using Physical Sensor Observations
Jonas Linkerhägner
Niklas Freymuth
Paul Maria Scheikl
F. Mathis-Ullrich
Gerhard Neumann
AI4CE
14
11
0
23 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
25
20
0
13 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements
Ying Zhang
Zhiqiang Zhao
Zhuo Feng
22
2
0
09 Feb 2023
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
12
19
0
30 Dec 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Siyi Li
Mingrui Zhang
M. Piggott
20
27
0
24 Nov 2022
Graph Neural Network-based Surrogate Models for Finite Element Analysis
Meduri Venkata Shivaditya
J. Alves
Francesca Bugiotti
Frédéric Magoulès
AI4CE
15
5
0
17 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof
Lars Ruthotto
Eran Treister
23
19
0
31 Oct 2022
Predicting fluid-structure interaction with graph neural networks
Rui Gao
R. Jaiman
AI4CE
8
7
0
09 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
16
18
0
05 Oct 2022
Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations
Liping Bai
9
0
0
03 Oct 2022
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
22
68
0
02 Oct 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin
Matthieu Kirchmeyer
Jean-Yves Franceschi
A. Rakotomamonjy
Patrick Gallinari
AI4CE
9
48
0
29 Sep 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Y. Mao
L. Sha
Huajie Shao
Yuliang Gu
Qixin Wang
Tarek F. Abdelzaher
PINN
AI4CE
19
1
0
27 Sep 2022
Quasi-optimal
h
p
hp
h
p
-finite element refinements towards singularities via deep neural network prediction
Tomasz Sluzalec
R. Grzeszczuk
Sergio Rojas
W. Dzwinel
Maciej Paszyñski
11
7
0
13 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling
Yingtao Luo
Chang Xu
Yang Liu
Weiqing Liu
Shun Zheng
Jiang Bian
AI4TS
22
8
0
03 Sep 2022
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Joseph G. Wallwork
Jing Lu
Mingrui Zhang
M. Piggott
8
10
0
22 Jul 2022
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations
F. Bonnet
Jocelyn Ahmed Mazari
T. Munzer
P. Yser
Patrick Gallinari
AI4CE
51
10
0
29 Jun 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
Winfried Lotzsch
Simon Ohler
Johannes Otterbach
AI4CE
11
18
0
28 Jun 2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Mingrui Zhang
Jianhong Wang
James Tlhomole
M. Piggott
14
10
0
21 Jun 2022
Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning
Ioannis C. Tsaknakis
B. Kailkhura
Sijia Liu
Donald Loveland
James Diffenderfer
A. Hiszpanski
Min-Fong Hong
11
3
0
04 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Qingqing Zhao
David B. Lindell
Gordon Wetzstein
AI4CE
31
40
0
01 Jun 2022
Transformer for Partial Differential Equations' Operator Learning
Zijie Li
Kazem Meidani
A. Farimani
23
136
0
26 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario Lino
Stathi Fotiadis
Anil A. Bharath
C. Cantwell
AI4CE
9
11
0
05 May 2022
Differentiable Simulation of Soft Multi-body Systems
Yi-Ling Qiao
Junbang Liang
V. Koltun
Ming-Chyuan Lin
AI4CE
8
40
0
03 May 2022
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffM
GNN
17
0
0
30 Apr 2022
M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song
Mingrui Zhang
Joseph G. Wallwork
Jun-ming Gao
Zheng Tian
...
M. Piggott
Junqing Chen
Zuoqiang Shi
Xiang Chen
Jun Wang
AI4CE
17
17
0
24 Apr 2022
Learning time-dependent PDE solver using Message Passing Graph Neural Networks
Pourya Pilva
A. Zareei
AI4CE
14
6
0
15 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
23
53
0
31 Mar 2022
Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints
Xinghao Zhu
Siddarth Jain
M. Tomizuka
J. Baar
3DH
6
11
0
29 Mar 2022
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen
Stephan Günnemann
AI4TS
14
37
0
16 Mar 2022
Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics
Priyabrata Saha
Saibal Mukhopadhyay
10
1
0
16 Mar 2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain
K. Bao
Wenjuan Yao
Xiaoya Zhang
Wei Peng
Yu Li
AI4CE
15
10
0
15 Mar 2022
Message Passing Neural PDE Solvers
Johannes Brandstetter
Daniel E. Worrall
Max Welling
AI4CE
17
254
0
07 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
11
42
0
01 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao
Pu Ren
Yang Liu
Hao-Lun Sun
AI4CE
28
26
0
28 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
19
77
0
31 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
15
3
0
22 Dec 2021
Constraint-based graph network simulator
Yulia Rubanova
Alvaro Sanchez-Gonzalez
Tobias Pfaff
Peter W. Battaglia
PINN
AI4CE
17
28
0
16 Dec 2021
A Grid-Structured Model of Tubular Reactors
Katsiaryna Haitsiukevich
S. Bergman
C. D. A. Filho
F. Corona
Alexander Ilin
6
2
0
13 Dec 2021
Graph Neural Networks Accelerated Molecular Dynamics
Zijie Li
Kazem Meidani
Prakarsh Yadav
A. Farimani
GNN
AI4CE
8
53
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
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks
Cody Scharzenberger
Joe Hays
21
3
0
18 Nov 2021
NeuralPDE: Modelling Dynamical Systems from Data
Andrzej Dulny
Andreas Hotho
Anna Krause
AI4CE
11
10
0
15 Nov 2021
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
21
79
0
18 Oct 2021
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