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Shane A McQuarrie
Shane A McQuarrie
John von Neumann Postdoctoral Fellow, Sandia National Laboratories
Overená e-mailová adresa na: sandia.gov - Domovská stránka
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Data-driven reduced-order models via regularised operator inference for a single-injector combustion process
SA McQuarrie, C Huang, KE Willcox
Journal of the Royal Society of New Zealand 51 (2), 194-211, 2021
1322021
Data assimilation in large Prandtl Rayleigh--Bénard convection from thermal measurements
A Farhat, NE Glatt-Holtz, VR Martinez, SA McQuarrie, JP Whitehead
SIAM Journal on Applied Dynamical Systems 19 (1), 510-540, 2020
502020
Bayesian operator inference for data-driven reduced-order modeling
M Guo, SA McQuarrie, KE Willcox
Computer Methods in Applied Mechanics and Engineering 402, 115336, 2022
412022
Nonintrusive reduced-order models for parametric partial differential equations via data-driven operator inference
SA McQuarrie, P Khodabakhshi, KE Willcox
SIAM Journal on Scientific Computing 45 (4), A1917-A1946, 2023
332023
Concurrent MultiParameter Learning Demonstrated on the Kuramoto–Sivashinsky Equation
B Pachev, JP Whitehead, SA McQuarrie
SIAM Journal on Scientific Computing 44 (5), A2974-A2990, 2022
302022
Performance comparison of data-driven reduced models for a single-injector combustion process
P Jain, S McQuarrie, B Kramer
AIAA Propulsion and Energy 2021 Forum, 3633, 2021
132021
Volume and geometry of homogeneously adequate knots
P Bartholomew, S McQuarrie, JS Purcell, K Weser
Journal of Knot Theory and Its Ramifications 24 (08), 1550044, 2015
62015
Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems
SA McQuarrie, A Chaudhuri, KE Willcox, M Guo
Physica D: Nonlinear Phenomena, 134572, 2025
22025
Data-driven parametric reduced-order models: operator inference for reactive flow applications
SA McQuarrie
12023
Tensor parametric Hamiltonian operator inference
A Vijaywargiya, SA McQuarrie, A Gruber
arXiv preprint arXiv:2502.10888, 2025
2025
RaISE: A Framework to Characterize Surrogate Models in Scientific Computing.
Z Morrow, B van Bloemen Waanders, J Jakeman, M Salloum, N Winovich, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022
2022
Goal-oriented data-driven reduced-order modeling guided by hyper-differential sensitivity analysis
S McQuarrie, B van Bloemen Waanders
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
Information Extraction and Logical Inference for Derivative Classifier Assistance
S McQuarrie, AX Garcia, JE Spomer
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
2017
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
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