This paper integrates nonlinear-manifold reduced order models (NM-ROMs) with domain
decomposition (DD). NM-ROMs approximate the full order model (FOM) state in a nonlinear …

We propose a component-based (CB) parametric model order reduction (pMOR) formulation
for parameterized nonlinear elliptic partial differential equations (PDEs) based on …

This paper formulates, analyzes and demonstrates numerically a method for the explicit
partitioned solution of coupled interface problems involving combinations of projection …

We present a component-based model order reduction procedure to efficiently and
accurately solve parameterized incompressible flows governed by the Navier-Stokes …

A non-intrusive proper generalized decomposition (PGD) strategy, coupled with an
overlap** domain decomposition (DD) method, is proposed to efficiently construct …

In the present work, a new methodology is proposed for building surrogate parametric
models of engineering systems based on modular assembly of pre-solved modules. Each …

This paper presents and evaluates an approach for coupling together subdomain-local
reduced order models (ROMs) constructed via non-intrusive operator inference (OpInf) with …

We propose a local, non-intrusive model order reduction technique to accurately
approximate the solution of coupled multi-component parametrized systems governed by …

Although ubiquitous as first-principles models for conservative phenomena, Hamiltonian
systems present numerous challenges for model reduction even in relatively simple, linear …

We present a machine-learning strategy for finite element analysis of solid mechanics
wherein we replace complex portions of a computational domain with a data-driven …