most citedFiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations

31 citations · 31 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 31 cited

FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations

Ben Stevens, Tim Colonius

In this work, we present a machine learning approach for reducing the error when numerically solving time-dependent partial differential equations (PDE). We use a fully convolution…

physics.comp-ph2020

Enhancement of shock-capturing methods via machine learning

Ben Stevens, Tim Colonius

In recent years, machine learning has been used to create data-driven solutions to problems for which an algorithmic solution is intractable, as well as fine-tuning existing algori…