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Machine Learning in Aerodynamic Shape Optimization

Machine Learning in Aerodynamic Shape Optimization

15 February 2022
Ji-chao Li
Xiaosong Du
J. Martins
    AI4CE
ArXivPDFHTML

Papers citing "Machine Learning in Aerodynamic Shape Optimization"

13 / 13 papers shown
Title
ONERA's CRM WBPN database for machine learning activities, related regression challenge and first results
ONERA's CRM WBPN database for machine learning activities, related regression challenge and first results
Jacques Peter
Quentin Bennehard
Sébastien Heib
Jean-Luc Hantrais-Gervois
Frédéric Moëns
AI4CE
38
0
0
05 May 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
FuncGenFoil: Airfoil Generation and Editing Model in Function Space
Jinouwen Zhang
Junjie Ren
A. Yang
Yan Lu
Lu Chen
Hairun Xie
Jing Wang
Miao Zhang
W. Ouyang
Shixiang Tang
159
0
0
15 Feb 2025
Implicitly Guided Design with PropEn: Match your Data to Follow the
  Gradient
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Natavsa Tagasovska
Vladimir Gligorijević
Kyunghyun Cho
Andreas Loukas
DiffM
52
4
0
28 May 2024
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A. Serani
Matteo Diez
AI4CE
21
2
0
22 May 2024
A mechanism-driven reinforcement learning framework for shape
  optimization of airfoils
A mechanism-driven reinforcement learning framework for shape optimization of airfoils
Jingfeng Wang
Guanghui Hu
23
1
0
07 Mar 2024
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
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
28
93
0
20 Oct 2022
Multi-condition multi-objective optimization using deep reinforcement
  learning
Multi-condition multi-objective optimization using deep reinforcement learning
Sejin Kim
Innyoung Kim
D. You
AI4CE
21
26
0
10 Oct 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
A Probabilistic Graphical Model Foundation for Enabling Predictive
  Digital Twins at Scale
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn
Jacob V. R. Pretorius
Karen E. Willcox
34
214
0
10 Dec 2020
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
107
77
0
08 Dec 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
183
760
0
13 Mar 2020
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,234
0
30 Nov 2018
1