research
∙
10/26/2022
Comparison of neural closure models for discretised PDEs
Neural closure models have recently been proposed as a method for effici...
share
research
∙
10/07/2020
Stochastic parameterization with VARX processes
In this study we investigate a data-driven stochastic methodology to par...
research
∙
04/03/2020
Resampling with neural networks for stochastic parameterization in multiscale systems
In simulations of multiscale dynamical systems, not all relevant process...
research
∙
03/30/2020
Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers
A popular method to compute first-passage probabilities in continuous-ti...
research
∙
04/05/2019
