Machine Learning in Aerodynamic Shape Optimization

Machine Learning in Aerodynamic Shape Optimization

15 February 2022

Papers citing "Machine Learning in Aerodynamic Shape Optimization"

11 / 11 papers shown

Title
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 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. Serani Matteo Diez AI4CE 21 2 0 22 May 2024
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 Hairun Xie Jing Wang Miao Zhang 6 6 0 06 Mar 2023
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 Wei Chen Arun Ramamurthy 25 23 0 07 Jan 2021
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 D. Kunin Javier Sagastuy-Breña Surya Ganguli Daniel L. K. Yamins Hidenori Tanaka 104 77 0 08 Dec 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 180 759 0 13 Mar 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,233 0 30 Nov 2018