FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000435.pdf
Reference34 articles.
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4. Bhatnagar S, Afshar Y, Pan S, et al., 2019. Prediction of aerodynamic flow fields using convolutional neural networks. Comput Mech, 64(2):525–545. https://doi.org/10.1007/s00466-019-01740-0
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