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Invertible Neural Networks for Airfoil Design
Andrew Glaws
,
Ryan King
,
Ganesh Vijayakumar
, Shreyas Ananthan
Computational Science
National Wind Technology Center
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Scopus Citations
Overview
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Engineering
Inverse Design
100%
Airfoil
100%
Airfoil Shape
60%
Aerodynamics
60%
Performance Characteristic
40%
Compressed Air Motors
40%
Neural Network Approach
40%
Optimization Method
20%
Computational Fluid Dynamics
20%
Boundary Layer
20%
Aerodynamic Characteristic
20%
Design Procedure
20%
Surrogate Model
20%
Design Process
20%
Design Problem
20%
Dynamic Method
20%
Forward Prediction
20%
Deep Learning Method
20%