Invertible Neural Networks for Airfoil Design-Reference-Cited by-同舟云学术

Invertible Neural Networks for Airfoil Design

Published:2022-05 Issue:5 Volume:60 Page:3035-3047
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

Glaws Andrew¹^ORCID,King Ryan N.¹,Vijayakumar Ganesh¹,Ananthan Shreyas¹

Affiliation:

1. National Renewable Energy Laboratory, Golden, Colorado 80401

Funder

Advanced Research Projects Agency - Energy

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.J060866

Reference54 articles.

1. ECN-G1-21 Airfoil: Design and Wind-Tunnel Testing

2. An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

3. DrelaM., Lecture Notes in Engineering: Low Reynolds Numer Aerodynamics, Vol. 54, Springer-Verlag, Berlin, 1989, pp. 1–12.

4. Van RooijR. “Modification of the Boundary Layer Calculation in RFOIL for Improved Airfoil Stall Prediction,” Inst. for Wind Energy, Delft Univ. of Technology, TR IW-96087R, Sept. 1996.

5. A comparison of the continuous and discrete adjoint approach to automatic aerodynamic optimization

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