672 citations · 1.4k across the 27 of their papers we have counts for
6 papers · 1 filter
Windowed least-squares model reduction for dynamical systems
Eric J. Parish, Kevin T. Carlberg
This work proposes a windowed least-squares (WLS) approach for model-reduction of dynamical systems. The proposed approach sequentially minimizes the time-continuous full-order-mod…
Deep Conservation: A latent-dynamics model for exact satisfaction of physical conservation laws
Kookjin Lee, Kevin Carlberg
This work proposes an approach for latent-dynamics learning that exactly enforces physical conservation laws. The method comprises two steps. First, the method computes a low-dimen…
The network uncertainty quantification method for propagating uncertainties in component-based systems
Kevin Carlberg, Sofia Guzzetti, Mohammad Khalil +1
This work introduces the network uncertainty quantification (NetUQ) method for performing uncertainty propagation in systems composed of interconnected components. The method assum…
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
Eric J. Parish, Kevin T. Carlberg
This work proposes a machine-learning framework for modeling the error incurred by approximate solutions to parameterized dynamical systems. In particular, we extend the machine-le…
Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
Philip A. Etter, Kevin T. Carlberg
In many applications, projection-based reduced-order models (ROMs) have demonstrated the ability to provide rapid approximate solutions to high-fidelity full-order models (FOMs). H…
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
Stefano Pagani, Andrea Manzoni, Kevin Carlberg
This work proposes a technique for constructing a statistical closure model for reduced-order models (ROMs) applied to stationary systems modeled as parameterized systems of algebr…