Shane A. McQuarrie

According to our database, Shane A. McQuarrie authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems.

Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox, Mengwu Guo

CoRR, 2024

2023

Nonintrusive Reduced-Order Models for Parametric Partial Differential Equations via Data-Driven Operator Inference.

Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox

SIAM J. Sci. Comput., August, 2023

2022

Concurrent MultiParameter Learning Demonstrated on the Kuramoto-Sivashinsky Equation.

Benjamin Pachev, Jared P. Whitehead, Shane A. McQuarrie

SIAM J. Sci. Comput., 2022

Bayesian operator inference for data-driven reduced-order modeling.

Mengwu Guo, Shane A. McQuarrie, Karen E. Willcox

CoRR, 2022

2021

Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference.

Shane A. McQuarrie, Parisa Khodabakhshi, Karen E. Willcox

CoRR, 2021

Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation.

Benjamin Pachev, Jared P. Whitehead, Shane A. McQuarrie

CoRR, 2021

2020

Data Assimilation in Large Prandtl Rayleigh-Bénard Convection from Thermal Measurements.

Aseel Farhat, Nathan E. Glatt-Holtz, Vincent R. Martinez, Shane A. McQuarrie, Jared P. Whitehead

SIAM J. Appl. Dyn. Syst., 2020

Data-driven reduced-order models via regularized operator inference for a single-injector combustion process.

Shane A. McQuarrie, Cheng Huang, Karen Willcox

CoRR, 2020