22 citations · 48 across the 13 of their papers we have counts for
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physics.flu-dyn2022★ 1 cited
Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers
L. Guastoni, A. G. Balasubramanian, F. Foroozan +6
Fully-convolutional neural networks (FCN) were proven to be effective for predicting the instantaneous state of a fully-developed turbulent flow at different wall-normal locations…
cs.CY2022★ 1 cited
The potential of artificial intelligence for achieving healthy and sustainable societies
B. Sirmacek, S. Gupta, F. Mallor +10
In this chapter we extend earlier work (Vinuesa et al., Nature Communications 11, 2020) on the potential of artificial intelligence (AI) to achieve the 17 Sustainable Development G…