3 citations · 8 across the 5 of their papers we have counts for
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cs.LG2023★ 2 cited
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Kazunari Wada, Katsuyuki Suzuki, Kazuo Yonekura
Generative adversarial networks (GAN) have recently been used for a design synthesis of mechanical shapes. A GAN sometimes outputs physically unreasonable shapes. For example, when…
cs.LG2023★ 3 cited
Physics-guided generative adversarial network to learn physical models
Kazuo Yonekura
This short note describes the concept of guided training of deep neural networks (DNNs) to learn physically reasonable solutions. DNNs are being widely used to predict phenomena in…