Computationally effective estimation of supersonic flow field around airfoils using sparse convolutional neural network
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DOI: 10.1088/1873-7005/acd7a0
Abstract: This work proposes an innovative approach for supersonic flow field modeling around airfoils based on sparse convolutional neural networks (SCNNs) and Bézier generative adversarial network (GAN), where (1) the SCNN model is built to end-to-end… read more here.
Keywords: network; convolutional neural; sparse convolutional; scnn model ... See more keywords