Artificial intelligence and machine learning in aerodynamics
Article Properties
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DOI (url)
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Publication Date2024/01/01
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Journal
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Indian UGC (journal)
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Refrences233
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Jiaqing Kou Department of Aerodynamics, School of Aeronautics, Northwestern Polytechnical University, 127 West Youyi Road, Beilin District, Shaanxi, Xi'an, China
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Tianbai Xiao State Key Laboratory of High Temperature Gas Dynamics and Centre for Interdisciplinary Research in Fluids, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, ChinaSchool of Engineering Science, University of Chinese Academy of Sciences, Beijing, 100049, China
Abstract
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations | Journal of Computational Physics |
| 2 | 2023 |
| Accelerating high order discontinuous Galerkin solvers using neural networks: 1D Burgers’ equation | Computers & Fluids |
| 6 | 2022 |
Fast aerodynamics prediction of laminar airfoils based on deep attention network | Physics of Fluids |
| 17 | 2023 |
| Reliable extrapolation of deep neural operators informed by physics or sparse observations | Computer Methods in Applied Mechanics and Engineering |
| 18 | 2023 |
Machine learning methods for turbulence modeling in subsonic flows around airfoils | Physics of Fluids |
| 197 | 2019 |