H. Jane Bae
Assistant Professor of Aerospace
B.S., Caltech, 2011; Ph.D., Stanford University, 2018. Caltech, 2021-.
Overview
Professor Bae's research focuses on the physical understanding and modeling of structures associated with near-wall turbulence. Her main research goal is to develop high-fidelity models that reduce the computational cost to simulate high-Reynolds-number turbulent flows. These models will allow simulations to be utilized in the design cycle of wind farms and aircrafts and in predictions of atmospheric flows, reducing the overall time and effort associated with these processes. She also studies the physical mechanisms that generate and sustain turbulence, which, in turn, fuels new modeling approaches. She has interests in applying machine learning, information theory, and other novel methods to turbulence modeling.
Publications
- Lopez-Doriga, Barbara;Ballouz, Eric et al. (2024) Sparse space-time resolvent analysis for statistically stationary and time-varying flowsJournal of Fluid Mechanics
- Ballouz, Eric;Lopez-Doriga, Barbara et al. (2024) Wavelet-based resolvent analysis of non-stationary flowsJournal of Fluid Mechanics
- Jia, Boyang;Li, Weipeng et al. (2024) Transonic Buffet in Flow Past a Low-Reynolds-Number AirfoilJournal of Aerospace Engineering
- Zhou, Di;Bae, H. Jane (2024) Sensitivity analysis of wall-modeled large-eddy simulation for separated turbulent flowJournal of Computational Physics
- Zhou, Di;Whitmore, Michael P. et al. (2023) Large-Eddy Simulation of Flow over Boeing Gaussian Bump Using Multi-Agent Reinforcement Learning Wall Model
- Arun, Rahul;Bae, H. Jane et al. (2023) Towards real-time reconstruction of velocity fluctuations in turbulent channel flowPhysical Review Fluids
- Lozano-Durán, Adrián;Bae, H. Jane (2023) Machine learning building-block-flow wall model for large-eddy simulationJournal of Fluid Mechanics
- Vadrot, Aurélien;Yang, Xiang I. A. et al. (2023) Log-law recovery through reinforcement-learning wall model for large eddy simulationPhysics of Fluids
- Ballouz, Eric;Lopez-Doriga, Barbara et al. (2023) Wavelet-based resolvent analysis for statistically-stationary and temporally-evolving flows
- Lopez-Doriga, Barbara;Ballouz, Eric et al. (2023) A sparsity-promoting resolvent analysis for the identification of spatiotemporally-localized amplification mechanisms
Related Courses
2023-24
Ae/APh/CE/ME 101 abc – Fluid Mechanics
Ae 239 ab – Turbulence
2022-23
Ae/ACM/ME 232 ab – Computational Fluid Dynamics
Ae 239 ab – Turbulence
2021-22
Ae/ACM/ME 232 ab – Computational Fluid Dynamics