Karen E. Willcox

28 papers B 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A parallel implementation of reduced-order modeling of large-scale systems. CoRR Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
2025	J	`jnl`	Block-structured Operator Inference for coupled multiphysics model reduction. CoRR Benjamin G. Zastrow, Anirban Chaudhuri, Karen E. Willcox, Anthony Ashley, Michael Chamberlain Henson
2025	J	`jnl`	Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine. Comput. Phys. Commun. Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
2025	J	`jnl`	Quasi-Monte Carlo methods for uncertainty quantification of tumor growth modeled by a parametric semi-linear parabolic reaction-diffusion equation. CoRR Alexander D. Gilbert, Frances Y. Kuo, Dirk Nuyens, Graham Pash, Ian H. Sloan, Karen E. Willcox
2024	J	`jnl`	Adaptive planning for risk-aware predictive digital twins. CoRR Marco Tezzele, Steven Carr, Ufuk Topcu, Karen E. Willcox
2024	J	`jnl`	Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. CoRR Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo
2024	J	`jnl`	Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine. CoRR Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
2024	B	`conf`	Educational Digital Twin: Tackling Complexity in Educational Big Data. IEEE Big Data Luwen Huang, Karen E. Willcox
2024	J	`jnl`	Formal Verification of Digital Twins with TLA and Information Leakage Control. CoRR Luwen Huang, Lav R. Varshney, Karen E. Willcox
2023	J	`jnl`	A digital twin framework for civil engineering structures. CoRR Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox
2023	J	`jnl`	Improving the accuracy and scalability of large-scale physics-based data-driven reduced modeling via domain decomposition. CoRR Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox
2023	J	`jnl`	Multi-output multilevel best linear unbiased estimators via semidefinite programming. CoRR Matteo Croci, Karen E. Willcox, Stephen J. Wright
2023	J	`jnl`	Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference. SIAM J. Sci. Comput. Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
2022	J	`jnl`	Bayesian operator inference for data-driven reduced-order modeling. CoRR Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox
2021	J	`jnl`	A multifidelity method for a nonlocal diffusion model. Appl. Math. Lett. Parisa Khodabakhshi, Karen E. Willcox, Max D. Gunzburger
2021	J	`jnl`	A probabilistic graphical model foundation for enabling predictive digital twins at scale. Nat. Comput. Sci. Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
2021	J	`jnl`	Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference. CoRR Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox
2021	J	`jnl`	The imperative of physics-based modeling and inverse theory in computational science. Nat. Comput. Sci. Karen E. Willcox, Omar Ghattas, Patrick Heimbach
2020	—	`conf`	A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins. DDDAS Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox
2020	J	`jnl`	A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale. CoRR Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
2020	J	`jnl`	From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning. CoRR Michael G. Kapteyn, Karen E. Willcox
2020	J	`jnl`	Information Reuse for Importance Sampling in Reliability-Based Design Optimization. Reliab. Eng. Syst. Saf. Anirban Chaudhuri, Boris Kramer, Karen E. Willcox
2020	J	`jnl`	Multifidelity Dimension Reduction via Active Subspaces. SIAM J. Sci. Comput. Rémi R. Lam, Olivier Zahm, Youssef M. Marzouk, Karen E. Willcox
2020	—	`conf`	Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling. DDDAS Michael G. Kapteyn, Karen E. Willcox
2019	J	`jnl`	Balanced Truncation Model Reduction for Lifted Nonlinear Systems. CoRR Boris Kramer, Karen E. Willcox
2019	J	`jnl`	mfEGRA: Multifidelity Efficient Global Reliability Analysis. CoRR Anirban Chaudhuri, Alexandre Noll Marques, Karen E. Willcox
2018	J	`jnl`	Contour location via entropy reduction leveraging multiple information sources. CoRR Alexandre Noll Marques, Rémi R. Lam, Karen E. Willcox
2018	J	`jnl`	Sensitivity analysis methods for mitigating uncertainty in engineering system design. Syst. Eng. Qinxian Chelsea Curran, Douglas L. Allaire, Karen E. Willcox