research
∙
05/16/2023
Conditional variational autoencoder with Gaussian process regression recognition for parametric models
In this article, we present a data-driven method for parametric models w...
share
research
∙
02/03/2023
A coupling generalized multiscale finite element method for coupled thermomechanical problems
It is crucial to build multiscale modeling for the coupling effects betw...
research
∙
01/08/2023
Perron-Frobenius operator filter for stochastic dynamical systems
The filtering problems are derived from a sequential minimization of a q...
research
∙
10/07/2022
Data-driven probability density forecast for stochastic dynamical systems
In this paper, a data-driven nonparametric approach is presented for for...
research
∙
04/27/2022
Reduced-order modeling for Koopman operators of nonautonomous dynamic systems in multiscale media
In this article, we present reduced-order modeling for Koopman operators...
research
∙
04/25/2022
Online multiscale model reduction for nonlinear stochastic PDEs with multiplicative noise
In this paper, an online multiscale model reduction method is presented ...
research
∙
12/02/2018