208 citations · 894 across the 25 of their papers we have counts for
5 papers · 1 filter
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
Youngkyu Kim, Karen May Wang, Youngsoo Choi
A classical reduced order model (ROM) for dynamical problems typically involves only the spatial reduction of a given problem. Recently, a novel space-time ROM for linear dynamical…
Efficient nonlinear manifold reduced order model
Youngkyu Kim, Youngsoo Choi, David Widemann +1
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate physical simulations, in which the intrinsic solution space falls into a subspace with a small dim…
Component-wise reduced order model lattice-type structure design
Sean McBane, Youngsoo Choi
Lattice-type structures can provide a combination of stiffness with light weight that is desirable in a variety of applications. Design optimization of these structures must rely o…
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Youngkyu Kim, Youngsoo Choi, David Widemann +1
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate physical simulations, in which the intrinsic solution space falls into a subspace with a small dim…
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction
Chi Hoang, Youngsoo Choi, Kevin Carlberg
A novel domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) model-reduction method applicable to parameterized systems of nonlinear algebraic equations (e.g., arising from…