A deep learning approach for the transonic flow field predictions around airfoils-Reference-Cited by-同舟云学术

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A deep learning approach for the transonic flow field predictions around airfoils

Published:2022-03 Issue: Volume:236 Page:105312
ISSN:0045-7930
Container-title:Computers & Fluids
language:en
Short-container-title:Computers & Fluids

Author:

Duru Cihat^ORCID,Alemdar Hande^ORCID,Baran Ozgur Ugras^ORCID

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference39 articles.

1. Parametric airfoil catalog;Melin,2013

2. Introduction to aircraft design, vol. 11;Fielding,2017

3. Theory of wing sections: Including a summary of airfoil data;Abbott,2012

4. Neural networks: applications and opportunities in aeronautics;Faller;Prog Aerosp Sci,1996

5. Aerodynamic design using neural networks;Rai;AIAA J,2000

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