April 23, 2024, 4:48 a.m. | Arivazhagan G. Balasubramanian, Ricardo Vinuesa, Outi Tammisola

stat.ML updates on arXiv.org arxiv.org

arXiv:2404.14121v1 Announce Type: cross
Abstract: Neural-network models have been employed to predict the instantaneous flow close to the wall in a viscoelastic turbulent channel flow. The numerical simulation data at the wall is utilized to predict the instantaneous velocity fluctuations and polymeric-stress fluctuations at three different wall-normal positions. Apart from predicting the velocity fluctuations well in a hibernating flow, the neural-network models are also shown to predict the polymeric shear stress and the trace of the polymeric stresses at a …

abstract arxiv convolutional neural networks data elastic flow network networks neural networks numerical physics.flu-dyn prediction simulation stat.ml stress type

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