The long short-term memory (LSTM) neural network is used to predict the temporal evolution of a low-order representation of near-wall turbulence. This network leads to excellent predictions of turbulence statistics and of the system dynamics, characterized by Poincar\'e maps and Lyapunov exponents.
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Srinivasan et al. (2019) studied this question.
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