Qian, Elizabeth Y.

Article from CaltechAUTHORS

• Cataldo, Giuseppe and Qian, Elizabeth, el al. (2022) Multifidelity uncertainty quantification and model validation of large-scale multidisciplinary systems; Journal of Astronomical Telescopes, Instruments, and Systems; Vol. 8; No. 3; Art. No. 038001; 10.1117/1.jatis.8.3.038001
• Qian, Elizabeth and Tabeart, Jemima M., el al. (2022) Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference; Journal of Scientific Computing; Vol. 91; No. 1; Art. No. 29; 10.1007/s10915-022-01798-8
• Qian, Elizabeth and Kramer, Boris, el al. (2020) Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems; Physica D; Vol. 406; Art. No. 132401; 10.1016/j.physd.2020.132401
• Qian, E. and Peherstorfer, B., el al. (2018) Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices; SIAM/ASA Journal on Uncertainty Quantification; Vol. 6; No. 2; 683-706; 10.1137/17m1151006
• Qian, Elizabeth and Grepl, Martin, el al. (2017) A Certified Trust Region Reduced Basis Approach to PDE-Constrained Optimization; SIAM Journal on Scientific Computing; Vol. 39; No. 5; S434-S460; 10.1137/16m1081981
• Wang, Qiqi and Gomez, Steven A., el al. (2013) Towards scalable parallel-in-time turbulent flow simulations; Physics of Fluids; Vol. 25; No. 11; Art. No. 110818; 10.1063/1.4819390