270 citations · 1.5k across the 27 of their papers we have counts for
3 papers · 1 filter
Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models
Sean McBane, Youngsoo Choi, Karen Willcox
Lattice-like structures can provide a combination of high stiffness with light weight that is useful in many applications, but a resolved finite element mesh of such structures res…
Operator inference for non-intrusive model reduction with quadratic manifolds
Rudy Geelen, Stephen Wright, Karen Willcox
This paper proposes a novel approach for learning a data-driven quadratic manifold from high-dimensional data, then employing this quadratic manifold to derive efficient physics-ba…
Bayesian operator inference for data-driven reduced-order modeling
Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by the structure of the governing equations, the task of learning…