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Kevin Carlberg

Observed names: Carlberg K. T., Carlberg, Kevin, Carlberg, Kevin T., Carlberg, Kevin Thomas, Carlberg, Kevin Thomas; Barone, Matthew F.; Antil, Harbir (GMU), Carlberg, Kevin Thomas; Barone, Matthew F.; Antil, Harbir; Choi, Youngsoo; Sargsyan, Syuzanna, Carlberg, Kevin Thomas; Barone, Matthew F.; Freno, Brian Andrew, Carlberg, Kevin Thomas; Choi, Youngsoo (LLNL); Sargsyan, Susie(HERE), Carlberg, Kevin Thomas; Choi, Youngsoo; Sargsyan, Syuzanna (Univ Washington), Carlberg, Kevin Thomas; Forstall, Virginia (University of Maryland); Tuminaro, Raymond S., Carlberg, Kevin Thomas; Guzzetta, Shara L.; Khalil, Mohammad; Sargsyan, Khachik, Carlberg, Kevin Thomas; Guzzetti, Sofia (Emory University); Tuminaro, Raymond S., Carlberg, Kevin Thomas; Guzzetti, Sofia; Khalil, Mohammad; Sargsyan, Khachik, Carlberg, Kevin Thomas; Lee, Kookjin, Carlberg, Kevin Thomas; Pagani, Stefano (EPFL); Manzoni, Andrea (EPFL), Carlberg, Kevin Thomas; Peng, Liqian, Carlberg, Kevin Thomas; Tuminaro, Raymond S; Boggs, Paul T., Carlberg, Kevin Thomas; Uy, Wayne (Cornell); Lu, Fei (Johns Hopkins University); Morzfeld, Matthias (University of Arizona); Freno, Brian Andrew, Carlberg, Kevin; Lee, Kookjin, K. T. Carlberg, K.T. Carlberg, Kevin T. Carlberg, Kevin Thomas Carlberg
Observed institutions: Lockheed Martin (United States), United States Department of Energy, George Mason University, Sandia National Laboratories California, University of Washington, Sandia National Laboratories, Meta (United Kingdom), Meta (United States), Wake Forest University, University of California, Berkeley, Stanford University
ORCID: 0000-0001-8313-7720
Observed ORCID: 0000-0001-8313-7720
OpenAlex ID: A5061258868
Efficient non‐linear model reduction via a least‐squares Petrov–Galerkin projection and compressive tensor approximations
2010 · Kevin Carlberg, Charbel Bou‐Mosleh, et al. · International Journal for Numerical Methods in Engineering · 688
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
2013 · Kevin Carlberg, Charbel Farhat, et al. · Journal of Computational Physics · 658
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Galerkin v. least-squares Petrov–Galerkin projection in nonlinear model reduction
2016 · Kevin Carlberg, Matthew Barone, et al. · Journal of Computational Physics · 314
A method for interpolating on manifolds structural dynamics reduced‐order models
2009 · David Amsallem, Julien Cortial, et al. · International Journal for Numerical Methods in Engineering · 236
Adaptive h ‐refinement for reduced‐order models
2014 · Kevin Carlberg · International Journal for Numerical Methods in Engineering · 148
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A low‐cost, goal‐oriented ‘compact proper orthogonal decomposition’ basis for model reduction of static systems
2010 · Kevin Carlberg, Charbel Farhat · International Journal for Numerical Methods in Engineering · 111
Conservative model reduction for finite-volume models
2018 · Kevin Carlberg, Youngsoo Choi, et al. · Journal of Computational Physics · 104
Preserving Lagrangian Structure in Nonlinear Model Reduction With Application to Structural Dynamics
2016 · Kevin Carlberg, Ray Tuminaro, et al. · 104
Preserving Lagrangian Structure in Nonlinear Model Reduction with Application to Structural Dynamics
2015 · Kevin Carlberg, Ray Tuminaro, et al. · SIAM Journal on Scientific Computing · 93
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Space--Time Least-Squares Petrov--Galerkin Projection for Nonlinear Model Reduction
2019 · Youngsoo Choi, Kevin Carlberg · SIAM Journal on Scientific Computing · 88
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Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
2019 · Kevin T. Carlberg, Antony Jameson, et al. · Journal of Computational Physics · 71
Error modeling for surrogates of dynamical systems using machine learning
2017 · Sumeet Trehan, Kevin T. Carlberg, et al. · International Journal for Numerical Methods in Engineering · 64
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The ROMES method for statistical modeling of reduced-order-model error
2014 · Martin Drohmann, Kevin Carlberg · 62
Domain-decomposition least-squares Petrov–Galerkin (DD-LSPG) nonlinear model reduction
2021 · Chi Hoang, Youngsoo Choi, et al. · Computer Methods in Applied Mechanics and Engineering · 60
The ROMES Method for Statistical Modeling of Reduced-Order-Model Error
2015 · Martin Drohmann, Kevin Carlberg · SIAM/ASA Journal on Uncertainty Quantification · 59
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Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
2019 · Kookjin Lee, Kevin T. Carlberg · Journal of Computational Physics · 48
A Compact Proper Orthogonal Decomposition Basis for Optimization-Oriented Reduced-Order Models
2008 · Kevin Carlberg, Charbel Farhat · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO) · 48
An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids
2019 · Matthew J. Zahr, Kevin T. Carlberg, et al. · SIAM/ASA Journal on Uncertainty Quantification · 45
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Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations
2019 · Brian A. Freno, Kevin T. Carlberg · Computer Methods in Applied Mechanics and Engineering · 43
Online adaptive basis refinement and compression for reduced-order models via vector-space sieving
2020 · Philip A. Etter, Kevin T. Carlberg · Computer Methods in Applied Mechanics and Engineering · 40
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
2020 · Eric J. Parish, Kevin T. Carlberg · Computer Methods in Applied Mechanics and Engineering · 37
Model Reduction for Steady Hypersonic Aerodynamics via Conservative Manifold Least-Squares Petrov–Galerkin Projection
2021 · Patrick J. Blonigan, Francesco Rizzi, et al. · AIAA Journal · 36
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Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
2021 · Kookjin Lee, Kevin T. Carlberg · Proceedings of the AAAI Conference on Artificial Intelligence · 29
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Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling
2019 · S. Guzzetti, L.A. Mansilla Alvarez, et al. · Computer Methods in Applied Mechanics and Engineering · 29
Krylov-Subspace Recycling via the POD-Augmented Conjugate-Gradient Method
2016 · Kevin Carlberg, Virginia Forstall, et al. · SIAM Journal on Matrix Analysis and Applications · 29
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Works count: 126
Citation count: 3,615
H-index: 27
I10-index: 42
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