Physics-guided training of GAN to improve accuracy in airfoil design synthesis

19 August 2023

Papers citing "Physics-guided training of GAN to improve accuracy in airfoil design synthesis"

5 / 5 papers shown

Title
VehicleSDF: A 3D generative model for constrained engineering design via surrogate modeling Hayata Morita Kohei Shintani Chenyang Yuan Frank Permenter AI4CE 41 2 0 09 Oct 2024
Tailoring Generative Adversarial Networks for Smooth Airfoil Design Joyjit Chattoraj Jian Cheng Wong Zexuan Zhang Manna Dai Yingzhi Xia ... Xinxing Xu Chin Chun Ooi Yang Feng M. Dao Yong Liu AI4CE GAN 35 2 0 18 Apr 2024
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder Yu-Eop Kang Dawoon Lee K. Yee 26 0 0 18 Nov 2023
Loss Landscape Engineering via Data Regulation on PINNs Vignesh Gopakumar Stanislas Pamela D. Samaddar PINN 38 16 0 16 May 2022
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization Yuyang Wang K. Shimada A. Farimani 21 29 0 12 Jan 2021