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Accelerating Eulerian Fluid Simulation With Convolutional Networks

Accelerating Eulerian Fluid Simulation With Convolutional Networks

13 July 2016
Jonathan Tompson
Kristofer Schlachter
Pablo Sprechmann
Ken Perlin
ArXivPDFHTML

Papers citing "Accelerating Eulerian Fluid Simulation With Convolutional Networks"

50 / 194 papers shown
Title
Implicit Neural Differential Model for Spatiotemporal Dynamics
Implicit Neural Differential Model for Spatiotemporal Dynamics
Deepak Akhare
P. Du
Tengfei Luo
Jian-Xun Wang
PINN
AI4CE
46
0
0
03 Apr 2025
Generative Latent Neural PDE Solver using Flow Matching
Generative Latent Neural PDE Solver using Flow Matching
Zijie Li
Anthony Y. Zhou
Amir Barati Farimani
DiffM
AI4CE
67
0
0
28 Mar 2025
Droplet Simulations in Computer Graphics: Theories, Methods and
  Applications
Droplet Simulations in Computer Graphics: Theories, Methods and Applications
Hossein Keshtkar
Nadine Aburumman
AI4CE
70
0
0
24 Nov 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino
Andrea Vaiuso
A. Ronch
Marcello Righi
AI4CE
72
0
0
18 Nov 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Nils Wandel
Stefan Schulz
Reinhard Klein
PINN
AI4CE
39
0
0
10 Oct 2024
Data-driven Viscosity Solver for Fluid Simulation
Data-driven Viscosity Solver for Fluid Simulation
Wonjung Park
Hyunsoo Kim
Jinah Park
34
0
0
23 Sep 2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational
  Mechanics
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
Paul Garnier
J. Viquerat
E. Hachem
AI4CE
19
0
0
18 Sep 2024
Accelerating the discovery of steady-states of planetary interior
  dynamics with machine learning
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning
Siddhant Agarwal
Nicola Tosi
Christian Huttig
David S. Greenberg
A. Bekar
AI4CE
20
1
0
30 Aug 2024
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs
Xi Han
Fei Hou
Hong Qin
AI4CE
20
0
0
09 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
29
42
0
09 Jul 2024
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for
  Computational Fluid Dynamics in Airfoil Design
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
Mouadh Yagoubi
David Danan
Milad Leyli-Abadi
Jean-Patrick Brunet
Jocelyn Ahmed Mazari
...
maroua gmati
A. Farjallah
Paola Cinnella
Patrick Gallinari
Marc Schoenauer
AI4CE
24
5
0
30 Jun 2024
HDNet: Physics-Inspired Neural Network for Flow Estimation based on
  Helmholtz Decomposition
HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
Miao Qi
R. Idoughi
Wolfgang Heidrich
PINN
MDE
18
1
0
12 Jun 2024
Attention-Based Learning for Fluid State Interpolation and Editing in a
  Time-Continuous Framework
Attention-Based Learning for Fluid State Interpolation and Editing in a Time-Continuous Framework
Bruno Roy
18
0
0
12 Jun 2024
Learning Physical Simulation with Message Passing Transformer
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu
Yifei Li
AI4CE
25
1
0
10 Jun 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions
  of PDEs on Geometric Deformations
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng
Zhongkai Hao
Xiaoqiang Wang
Jianing Huang
Youjia Wu
Xudan Liu
Yiru Zhao
Songming Liu
Hang Su
AI4CE
29
2
0
27 May 2024
The Power of Next-Frame Prediction for Learning Physical Laws
The Power of Next-Frame Prediction for Learning Physical Laws
T. Winterbottom
G. Hudson
Daniel Kluvanec
Dean L. Slack
Jamie Sterling
Junjie Shentu
Chenghao Xiao
Zheming Zhou
Noura Al Moubayed
24
1
0
21 May 2024
ML4PhySim : Machine Learning for Physical Simulations Challenge (The
  airfoil design)
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
Mouadh Yagoubi
Milad Leyli-Abadi
David Danan
Jean-Patrick Brunet
Jocelyn Ahmed Mazari
F. Bonnet
A. Farjallah
Marc Schoenauer
Patrick Gallinari
AI4CE
19
2
0
03 Mar 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid
  Prediction
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
Qilong Ma
Haixu Wu
Lanxiang Xing
Jianmin Wang
Mingsheng Long
AI4CE
19
0
0
04 Feb 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid
  Neural Modeling
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
Deepak Akhare
Tengfei Luo
Jian-Xun Wang
19
6
0
30 Dec 2023
Fluid Simulation on Neural Flow Maps
Fluid Simulation on Neural Flow Maps
Yitong Deng
Hong-Xing Yu
Diyang Zhang
Jiajun Wu
Bo Zhu
AI4CE
11
21
0
22 Dec 2023
Inferring Hybrid Neural Fluid Fields from Videos
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
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal
  Turbulence Generation
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation
Han Gao
Xu Han
Xiantao Fan
Luning Sun
Liping Liu
Lian Duan
Jian-Xun Wang
DiffM
AI4CE
30
20
0
14 Nov 2023
Latent Task-Specific Graph Network Simulators
Latent Task-Specific Graph Network Simulators
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
AI4CE
14
0
0
09 Nov 2023
Learning to Predict Structural Vibrations
Learning to Predict Structural Vibrations
J. V. Delden
Julius Schultz
Christopher Blech
Sabine C. Langer
Timo Luddecke
AI4CE
21
1
0
09 Oct 2023
A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann
  Boundary Conditions
A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
Kai Weixian Lan
E. Gueidon
Ayano Kaneda
Julian Panetta
Joseph Teran
AI4CE
8
1
0
29 Sep 2023
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven
  Approach for Solving Partial Differential Equations
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations
Monika Nagy-Huber
Volker Roth
AI4CE
PINN
27
3
0
18 Aug 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
Meta-Learning for Airflow Simulations with Graph Neural Networks
Wenzhuo Liu
Mouadh Yagoubi
Marc Schoenauer
AI4CE
19
0
0
18 Jun 2023
ParticleWNN: a Novel Neural Networks Framework for Solving Partial
  Differential Equations
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Yaohua Zang
Gang Bao
13
4
0
21 May 2023
Data-Free Learning of Reduced-Order Kinematics
Data-Free Learning of Reduced-Order Kinematics
Nicholas Sharp
Cristian Romero
Alec Jacobson
E. Vouga
P. Kry
David I. W. Levin
Justin Solomon
AI4CE
22
18
0
05 May 2023
MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid Interaction
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
18
7
0
05 May 2023
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of
  Reacting Flows
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
Shivam Barwey
V. Raman
8
2
0
02 May 2023
Inferring Fluid Dynamics via Inverse Rendering
Inferring Fluid Dynamics via Inverse Rendering
Jinxian Liu
Ye Chen
Bingbing Ni
Jiyao Mao
Zhenbo Yu
3DH
AI4CE
18
5
0
10 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of
  Physical Systems and Classical Numerical Methods
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
11
5
0
31 Mar 2023
Invariant preservation in machine learned PDE solvers via error
  correction
Invariant preservation in machine learned PDE solvers via error correction
N. McGreivy
Ammar Hakim
AI4CE
PINN
21
8
0
28 Mar 2023
Grounding Graph Network Simulators using Physical Sensor Observations
Grounding Graph Network Simulators using Physical Sensor Observations
Jonas Linkerhägner
Niklas Freymuth
Paul Maria Scheikl
F. Mathis-Ullrich
Gerhard Neumann
AI4CE
19
11
0
23 Feb 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with
  Spatial-temporal Decomposition
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
Xinquan Huang
Wenlei Shi
Qi Meng
Yue Wang
Xiaotian Gao
Jia Zhang
Tie-Yan Liu
AI4CE
16
8
0
20 Feb 2023
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher
  order deep operator learning for parametric partial differential equations
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations
Arnulf Jentzen
Adrian Riekert
Philippe von Wurstemberger
13
1
0
07 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction
Learning Vortex Dynamics for Fluid Inference and Prediction
Yitong Deng
Hong-Xing Yu
Jiajun Wu
Bo Zhu
MDE
24
19
0
27 Jan 2023
Solving Inverse Physics Problems with Score Matching
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh
S. Vegetti
Nils Thuerey
DiffM
11
8
0
24 Jan 2023
CIMS: Correction-Interpolation Method for Smoke Simulation
CIMS: Correction-Interpolation Method for Smoke Simulation
Yun-Hwa Lee
Dohae Lee
Young-Jin Oh
In-Kwon Lee
14
0
0
28 Dec 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Chloé Paliard
Nils Thuerey
Kiwon Um
AI4CE
15
0
0
21 Nov 2022
Learning 4DVAR inversion directly from observations
Learning 4DVAR inversion directly from observations
Arthur Filoche
J. Brajard
A. Charantonis
Dominique Béréziat
27
2
0
17 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
21
47
0
14 Nov 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid
  Dynamics
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
L. Prantl
Benjamin Ummenhofer
V. Koltun
Nils Thuerey
AI4CE
PINN
19
29
0
12 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
24
18
0
05 Oct 2022
Wavelet-based Loss for High-frequency Interface Dynamics
Wavelet-based Loss for High-frequency Interface Dynamics
L. Prantl
Jan Bender
Tassilo Kugelstadt
Nils Thuerey
GAN
10
0
0
06 Sep 2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Mingrui Zhang
Jianhong Wang
James Tlhomole
M. Piggott
19
10
0
21 Jun 2022
LordNet: An Efficient Neural Network for Learning to Solve Parametric
  Partial Differential Equations without Simulated Data
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
Xinquan Huang
Wenlei Shi
Xiaotian Gao
Xinran Wei
Jia Zhang
Jiang Bian
Mao Yang
Tie-Yan Liu
PINN
17
10
0
19 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Qingqing Zhao
David B. Lindell
Gordon Wetzstein
AI4CE
31
40
0
01 Jun 2022
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
Ayano Kaneda
Osman Akar
Jingyu Chen
Victoria Kala
David Hyde
Joseph Teran
28
10
0
22 May 2022
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