Karen E. Willcox

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Driven Learning

Multiple Information Sources

Reliability Analysis

Partial Differential Equations

Top Venues

Nat. Comput. Sci.

SIAM J. Sci. Comput.

Publications

Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine. CoRR (2024)
Marco Tezzele, Steven Carr, Ufuk Topcu, Karen E. Willcox
Adaptive planning for risk-aware predictive digital twins. CoRR (2024)
Matteo Croci, Karen E. Willcox, S. J. Wright
Multi-output multilevel best linear unbiased estimators via semidefinite programming. CoRR (2023)
Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference. SIAM J. Sci. Comput. 45 (4) (2023)
Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox
A digital twin framework for civil engineering structures. CoRR (2023)
Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
Improving the accuracy and scalability of large-scale physics-based data-driven reduced modeling via domain decomposition. CoRR (2023)
Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
Bayesian operator inference for data-driven reduced-order modeling. CoRR (2022)
Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference. CoRR (2021)
Karen E. Willcox, Omar Ghattas, Patrick Heimbach
The imperative of physics-based modeling and inverse theory in computational science. Nat. Comput. Sci. 1 (3) (2021)
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
A probabilistic graphical model foundation for enabling predictive digital twins at scale. Nat. Comput. Sci. 1 (5) (2021)
Parisa Khodabakhshi, Karen E. Willcox, Max D. Gunzburger
A multifidelity method for a nonlocal diffusion model. Appl. Math. Lett. 121 (2021)
Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox
Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. 42 (2) (2020)
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale. CoRR (2020)
Anirban Chaudhuri, Boris Kramer, Karen E. Willcox
Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. 201 (2020)
Michael G. Kapteyn, Karen E. Willcox
Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling. DDDAS (2020)
Michael G. Kapteyn, Karen E. Willcox
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning. CoRR (2020)
Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox
A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins. DDDAS (2020)
Boris Kramer, Karen E. Willcox
Balanced Truncation Model Reduction for Lifted Nonlinear Systems. CoRR (2019)
Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox
mfEGRA: Multifidelity Efficient Global Reliability Analysis. CoRR (2019)
Qinxian Chelsea Curran, Douglas L. Allaire, Karen E. Willcox
Sensitivity analysis methods for mitigating uncertainty in engineering system design. Syst. Eng. 21 (3) (2018)
Alexandre Noll Marques, Rémi R. Lam, Karen E. Willcox
Contour location via entropy reduction leveraging multiple information sources. CoRR (2018)