Reservoir computing model of two-dimensional turbulent convection

Reservoir computing models are one possible architecture of recurrent neural networks. Here, a reservoir computing model is applied to reproduce the low-order statistics of a two-dimensional turbulent Rayleigh-B\'enard flow without solving the underlying Boussinesq equations.