FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction

for flow-related design optimization problems, e.g., aircraft and automobile aerodynamic design, computational fluid dynamics (CFD) simulations are commonly used to predict flow fields and analyze performance. While important, CFD simulations are a resource-demanding and time-consuming iterative pro...

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Veröffentlicht in:Frontiers of information technology & electronic engineering 2022-02, Vol.23 (2), p.207-219
Hauptverfasser: Chen, Donglin, Gao, Xiang, Xu, Chuanfu, Wang, Siqi, Chen, Shizhao, Fang, Jianbin, Wang, Zheng
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Sprache:eng
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