Discovering a suitable coordinate transformation for nonlinear systems
e...
This work discusses the model reduction problem for large-scale
multi-sy...
We present a framework for learning Hamiltonian systems using data. This...
In this paper, we investigate projection-based intrusive and data-driven...
Energy preserving reduced-order models are developed for the rotating th...
This paper discusses a non-intrusive data-driven model order reduction m...
In this work, we present a reduced-order model for a nonlinear
cross-dif...
Computationally efficient, structure-preserving reduced-order methods ar...
An energy preserving reduced order model is developed for the nontraditi...
The two-dimensional rotational shallow water equations (SWEs) in the
non...