Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence

1 May 2020

Ricardo Vinuesa

Papers citing "Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence"

3 / 3 papers shown

Title
Predicting the temporal dynamics of turbulent channels through deep learning Giuseppe Borrelli L. Guastoni Hamidreza Eivazi P. Schlatter Ricardo Vinuesa AI4TS 22 17 0 02 Mar 2022
Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems Giorgos Mamakoukas Maria L. Castaño Xiaobo Tan Todd D. Murphey 16 92 0 12 Oct 2020
Convolutional-network models to predict wall-bounded turbulence from wall quantities L. Guastoni A. Güemes A. Ianiro S. Discetti P. Schlatter Hossein Azizpour R. Vinuesa 28 167 0 22 Jun 2020