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Data-driven super-resolution reconstruction of supersonic flow field by convolutional neural networks
Author(s) -
Chen Kong,
Juntao Chang,
Ziao Wang,
Yunfei Li,
Wen Bao
Publication year - 2021
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0056569
Subject(s) - convolutional neural network , computer science , path (computing) , algorithm , interpolation (computer graphics) , supersonic speed , hypersonic speed , deep learning , flow (mathematics) , artificial intelligence , aerospace engineering , mathematics , engineering , geometry , motion (physics) , programming language

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