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Elizabeth Qian
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Jahr
Lift & learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
E Qian, B Kramer, B Peherstorfer, K Willcox
Physica D: Nonlinear Phenomena 406, 132401, 2020
2522020
Autonomous battery swapping system for small-scale helicopters
KA Swieringa, CB Hanson, JR Richardson, JD White, Z Hasan, E Qian, ...
2010 IEEE international conference on robotics and automation, 3335-3340, 2010
1412010
Multifidelity Monte Carlo estimation of variance and sensitivity indices
E Qian, B Peherstorfer, D O'Malley, V Vesselinov, K Willcox
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 683–706, 2018
742018
A certified trust region reduced basis approach to PDE-constrained optimization
E Qian, M Grepl, K Veroy, K Willcox
SIAM J. Sci. Comput. 39 (5), S434–S460, 2017
672017
The cost-accuracy trade-off in operator learning with neural networks
MV de Hoop, DZ Huang, E Qian, AM Stuart
arXiv preprint arXiv:2203.13181, 2022
562022
Reduced operator inference for nonlinear partial differential equations
E Qian, IG Farcas, K Willcox
SIAM Journal on Scientific Computing 44 (4), A1934-A1959, 2022
322022
Transform & Learn: A data-driven approach to nonlinear model reduction
E Qian, B Kramer, AN Marques, KE Willcox
AIAA Aviation 2019 Forum, 2019
302019
Towards scalable parallel-in-time turbulent flow simulations
Q Wang, SA Gomez, PJ Blonigan, AL Gregory, EY Qian
Physics of Fluids 25 (11), 110818, 2013
252013
A scientific machine learning approach to learning reduced models for nonlinear partial differential equations
EY Qian
Massachusetts Institute of Technology, 2021
82021
Multifidelity uncertainty quantification and model validation of large-scale multidisciplinary systems
G Cataldo, E Qian, J Auclair
Journal of Astronomical Telescopes, Instruments, and Systems 8 (3), 038001 …, 2022
52022
TERSat: trapped energetic radiation satellite
EB Clements, B Alvisio, A Babuscia, ZJ Casas, BG Coffee, SA Giblin, ...
42012
Model reduction of linear dynamical systems via balancing for Bayesian inference
E Qian, JM Tabeart, C Beattie, S Gugercin, J Jiang, PR Kramer, ...
Journal of Scientific Computing 91 (1), 29, 2022
32022
Multifidelity linear regression for scientific machine learning from scarce data
E Qian, A Chaudhuri, D Kang, V Sella
arXiv preprint arXiv:2403.08627, 2024
2024
Energy-Preserving Reduced Operator Inference for Efficient Design and Control
T Koike, E Qian
AIAA SCITECH 2024 Forum, 1012, 2024
2024
A certified reduced basis approach to PDE-constrained optimization
EY Qian
Massachusetts Institute of Technology, 2017
2017
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