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Shane A McQuarrie
Shane A McQuarrie
Oden Institute for Computational Engineering and Sciences
Verified email at utexas.edu
Title
Cited by
Cited by
Year
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
402021
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
232020
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
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
SA McQuarrie, P Khodabakhshi, KE Willcox
arXiv preprint arXiv:2110.07653, 2021
22021
Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation
B Pachev, JP Whitehead, SA McQuarrie
arXiv preprint arXiv:2106.06069, 2021
22021
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
22021
Bayesian operator inference for data-driven reduced-order modeling
M Guo, SA McQuarrie, KE Willcox
arXiv preprint arXiv:2204.10829, 2022
2022
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
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