Attention-enhanced neural network models for turbulence simulation-Reference-Cited by-同舟云学术

Attention-enhanced neural network models for turbulence simulation

Published:2022-02 Issue:2 Volume:34 Page:025111
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Peng Wenhui¹²³⁴^ORCID,Yuan Zelong¹²³^ORCID,Wang Jianchun¹²³^ORCID

Affiliation:

1. Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen 518055, China

2. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China

3. Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications, Southern University of Science and Technology, Shenzhen 518055, China

4. Department of Computer Engineering, Polytechnique Montreal, Montreal H3T1J4, Canada

Funder

National Natural Science Foundation of China

National Numerical Windtunnel Project

Shenzhen Science and Technology Program

Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory

CAAI-Huawei MindSpore Open Fund

Department of Science and Technology of Guangdong Province

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0079302

Reference50 articles.

1. Machine Learning for Fluid Mechanics

2. Turbulence Modeling in the Age of Data

3. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

4. Subgrid modelling for two-dimensional turbulence using neural networks

5. Artificial neural network-based spatial gradient models for large-eddy simulation of turbulence

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