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20192022
most citedUsing recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models

2 citations · 2 across the 4 of their papers we have counts for

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physics.comp-ph2019

Time-series learning of latent-space dynamics for reduced-order model closure

Romit Maulik, Arvind Mohan, Bethany Lusch +3

We study the performance of long short-term memory networks (LSTMs) and neural ordinary differential equations (NODEs) in learning latent-space representations of dynamical equatio…