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Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of
  Airfoil Flows

Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

18 October 2018
Nils Thuerey
Konstantin Weissenow
L. Prantl
Xiangyu Y. Hu
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows"

48 / 48 papers shown
Title
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
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
38
0
0
11 Apr 2025
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Anthony Y. Zhou
Zijie Li
Michael Schneier
John R Buchanan Jr
Amir Barati Farimani
AI4CE
DiffM
67
5
0
02 Oct 2024
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Mohamed Elrefaie
Florin Morar
Angela Dai
Faez Ahmed
PINN
AI4CE
78
14
0
13 Jun 2024
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
Mohamed Elrefaie
Angela Dai
Faez Ahmed
DiffM
AI4CE
51
9
0
12 Mar 2024
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
G. Bruni
Md Tahmid Rahman Laskar
Jimmy X. Huang
AI4CE
20
0
0
06 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence
Thorsten Glüsenkamp
Frank Jenko
Nils Thuerey
AI4CE
37
4
0
28 Sep 2023
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Sebastian Strönisch
Maximilian Sander
A. Knüpfer
M. Meyer
AI4CE
25
8
0
25 Jul 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
27
0
0
18 Jun 2023
Drag-guided diffusion models for vehicle image generation
Drag-guided diffusion models for vehicle image generation
Nikos Arechiga
Frank Permenter
Binyang Song
Chenyang Yuan
DiffM
29
12
0
16 Jun 2023
Multi-fidelity prediction of fluid flow and temperature field based on
  transfer learning using Fourier Neural Operator
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
Yanfang Lyu
Xiaoyu Zhao
Zhiqiang Gong
Xiao Kang
W. Yao
AI4CE
34
24
0
14 Apr 2023
ChatGPT for Programming Numerical Methods
ChatGPT for Programming Numerical Methods
Ali Kashefi
T. Mukerji
ALM
11
62
0
21 Mar 2023
Knowledge-embedded meta-learning model for lift coefficient prediction
  of airfoils
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils
Hairun Xie
Jing Wang
Miao Zhang
11
6
0
06 Mar 2023
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed
  Neural Network Training
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training
B.-L. Lu
Christian Moya
Guang Lin
PINN
37
11
0
03 Mar 2023
Graph Neural Network Based Surrogate Model of Physics Simulations for
  Geometry Design
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design
Jian Cheng Wong
C. Ooi
Joyjit Chattoraj
Lucas Lestandi
Guoying Dong
Umesh Kizhakkinan
D. W. Rosen
M. Jhon
M. Dao
AI4CE
PINN
19
9
0
01 Feb 2023
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for
  Approximating Reynolds-Averaged Navier-Stokes Solutions
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions
F. Bonnet
Jocelyn Ahmed Mazari
Paola Cinnella
Patrick Gallinari
AI4CE
33
54
0
15 Dec 2022
Image-based Artificial Intelligence empowered surrogate model and shape
  morpher for real-time blank shape optimisation in the hot stamping process
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process
Hao Zhou
Nan Li
AI4CE
34
1
0
01 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffM
AI4CE
35
125
0
26 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation
  Learning
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Siyi Li
Mingrui Zhang
M. Piggott
20
28
0
24 Nov 2022
FastFlow: AI for Fast Urban Wind Velocity Prediction
FastFlow: AI for Fast Urban Wind Velocity Prediction
Shi Jer Low
Venugopalan
V. Raghavan
H. Gopalan
Jian Cheng Wong
J. Yeoh
C. Ooi
AI4CE
16
0
0
22 Nov 2022
Predicting fluid-structure interaction with graph neural networks
Predicting fluid-structure interaction with graph neural networks
Rui Gao
R. Jaiman
AI4CE
13
7
0
09 Oct 2022
MultiScale MeshGraphNets
MultiScale MeshGraphNets
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
30
68
0
02 Oct 2022
Transformer with Implicit Edges for Particle-based Physics Simulation
Transformer with Implicit Edges for Particle-based Physics Simulation
Yidi Shao
Chen Change Loy
Bo Dai
16
15
0
22 Jul 2022
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State
  Incompressible Navier-Stokes Equations
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
55
10
0
29 Jun 2022
Multi-scale Physical Representations for Approximating PDE Solutions
  with Graph Neural Operators
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators
Léon Migus
Yuan Yin
Jocelyn Ahmed Mazari
Patrick Gallinari
AI4CE
12
4
0
29 Jun 2022
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
Mritunjay Musale
Vaibhav Vasani
AI4CE
21
0
0
26 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with
  Multi-Scale Graph Neural Networks
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario Lino
Stathi Fotiadis
Anil A. Bharath
C. Cantwell
AI4CE
11
12
0
05 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid
  Simulations
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
Maximilian Mueller
Robin Greif
Frank Jenko
Nils Thuerey
24
3
0
02 May 2022
Physics-constrained Unsupervised Learning of Partial Differential
  Equations using Meshes
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes
M. Michelis
Robert K. Katzschmann
AI4CE
27
1
0
30 Mar 2022
Simulating Liquids with Graph Networks
Simulating Liquids with Graph Networks
Jonathan Klimesch
Philipp Holl
Nils Thuerey
GNN
AI4CE
27
8
0
14 Mar 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers:
  Physics-based Loss-functions and Optimisation Horizons
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons
Bjorn List
Li-Wei Chen
Nils Thuerey
29
55
0
14 Feb 2022
Development of a deep learning platform for optimising sheet stamping
  geometries subject to manufacturing constraints
Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints
H. Attar
A. Foster
Nan Li
24
3
0
04 Feb 2022
Constraint-based graph network simulator
Constraint-based graph network simulator
Yulia Rubanova
Alvaro Sanchez-Gonzalez
Tobias Pfaff
Peter W. Battaglia
PINN
AI4CE
32
28
0
16 Dec 2021
Positional Encoding Augmented GAN for the Assessment of Wind Flow for
  Pedestrian Comfort in Urban Areas
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas
Henrik Hoiness
Kristoffer Gjerde
L. Oggiano
K. E. Giljarhus
M. Ruocco
DiffM
AI4CE
16
5
0
15 Dec 2021
Learn-Morph-Infer: a new way of solving the inverse problem for brain
  tumor modeling
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
Ivan Ezhov
Kevin Scibilia
Katharina Franitza
Felix Steinbauer
Suprosanna Shit
...
Diana Waldmannstetter
M. Menten
M. Metz
Benedikt Wiestler
Bjoern H. Menze
46
26
0
07 Nov 2021
Solving Partial Differential Equations with Point Source Based on
  Physics-Informed Neural Networks
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
Xiang Huang
Hongsheng Liu
Beiji Shi
Zidong Wang
Kan Yang
...
Jing Zhou
Fan Yu
Bei Hua
Lei Chen
Bin Dong
11
20
0
02 Nov 2021
Using neural networks to solve the 2D Poisson equation for electric
  field computation in plasma fluid simulations
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
Li Cheng
Ekhi Ajuria Illarramendi
Guillaume Bogopolsky
M. Bauerheim
B. Cuenot
45
19
0
27 Sep 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed
  Hermite-Spline CNNs
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel
Michael Weinmann
Michael Neidlin
Reinhard Klein
AI4CE
58
60
0
15 Sep 2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning
  using Small Datasets
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Octavi Obiols-Sales
Abhinav Vishnu
Nicholas Malaya
Aparna Chandramowlishwaran
AI4CE
29
24
0
17 Aug 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
An Extensible Benchmark Suite for Learning to Simulate Physical Systems
Karl Otness
Arvi Gjoka
Joan Bruna
Daniele Panozzo
Benjamin Peherstorfer
T. Schneider
Denis Zorin
24
23
0
09 Aug 2021
Real-time simulation of parameter-dependent fluid flows through deep
  learning-based reduced order models
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
S. Fresca
Andrea Manzoni
AI4CE
18
36
0
10 Jun 2021
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural
  Network Architecture
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture
Q. Le
C. Ooi
AI4CE
16
10
0
09 May 2021
Geometry encoding for numerical simulations
Geometry encoding for numerical simulations
Amir Maleki
J. Heyse
Rishikesh Ranade
Haiyang He
Priya Kasimbeg
Jay Pathak
3DV
AI4CE
32
2
0
15 Apr 2021
dNNsolve: an efficient NN-based PDE solver
dNNsolve: an efficient NN-based PDE solver
V. Guidetti
F. Muia
Y. Welling
A. Westphal
27
6
0
15 Mar 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural
  Surrogate Models in 3D
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D
Nils Wandel
Michael Weinmann
Reinhard Klein
AI4CE
26
50
0
22 Dec 2020
A Combined Data-driven and Physics-driven Method for Steady Heat
  Conduction Prediction using Deep Convolutional Neural Networks
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
Hao Ma
Xiangyu Y. Hu
Yuxuan Zhang
Nils Thuerey
O. Haidn
AI4CE
18
12
0
16 May 2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep
  Convolutional Neural Networks
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo
J. Leitão
N. Simões
V. Moosavi
AI4CE
17
117
0
17 Apr 2020
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
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
280
1,400
0
01 Dec 2016
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