ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.07564
  4. Cited By
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

15 December 2022
F. Bonnet
Jocelyn Ahmed Mazari
Paola Cinnella
Patrick Gallinari
    AI4CE
ArXivPDFHTML

Papers citing "AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions"

12 / 12 papers shown
Title
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
42
0
0
24 Apr 2025
Sampling-based Distributed Training with Message Passing Neural Network
Sampling-based Distributed Training with Message Passing Neural Network
P. Kakka
Sheel Nidhan
Rishikesh Ranade
Jay Pathak
J. MacArt
GNN
69
3
0
20 Feb 2025
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
18
5
0
30 Jun 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
53
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
38
9
0
12 Mar 2024
Learning to Predict Structural Vibrations
Learning to Predict Structural Vibrations
J. V. Delden
Julius Schultz
Christopher Blech
Sabine C. Langer
Timo Luddecke
AI4CE
6
1
0
09 Oct 2023
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
51
10
0
29 Jun 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
115
198
0
28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations
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
197
2,254
0
18 Oct 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
139
219
0
29 Sep 2019
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
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
1