| Variational formulation of resolvent analysis B Barthel, S Gomez, BJ McKeon Physical Review Fluids 7 (1), 013905, 2022 | 13 | 2022 |
| Closing the loop: nonlinear Taylor vortex flow through the lens of resolvent analysis B Barthel, X Zhu, B McKeon Journal of Fluid Mechanics 924, A9, 2021 | 6 | 2021 |
| Harnessing Instability Mechanisms in Airfoil Flow for Data-Driven Forecasting of Extreme Events B Barthel, TP Sapsis AIAA Journal 61 (11), 4879-4896, 2023 | 4 | 2023 |
| On the variational principles of linear and nonlinear resolvent analysis B Barthel California Institute of Technology, 2022 | 2 | 2022 |
| A Machine Learning Bias Correction of Large-scale Environment of Extreme Weather Events in E3SM Atmosphere Model S Zhang, BE Harrop, LR Leung, AT Charalampopoulos, B Barthel, WW Xu, ... Authorea Preprints, 2023 | 1 | 2023 |
| Correcting the statistics of coarse-scale simulations using neural network models trained on nudged data sets B Barthel, A Charalampopoulos, T Sapsis AGU23, 2023 | | 2023 |
| Utilizing intra-triad energy conservation for phase reconstruction from low-order statistics M Coimbra, B Barthel, G Chini, B McKeon Bulletin of the American Physical Society, 2023 | | 2023 |
| Exploiting instability mechanisms for the efficient data-driven forecasting of extreme events in airfoil flow B Barthel, T Sapsis Bulletin of the American Physical Society, 2023 | | 2023 |
| Optimal sensor placement for learning extreme events from surface pressure on an airfoil B Barthel, T Sapsis Bulletin of the American Physical Society 67, 2022 | | 2022 |
| The role of an optimal modeling basis in variational resolvent analysis B Barthel, S Gomez, B McKeon 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12), 2022 | | 2022 |
| No inverse necessary: a variational formulation of resolvent analysis B Barthel, S Gomez, B McKeon APS Division of Fluid Dynamics Meeting Abstracts, E31. 006, 2021 | | 2021 |
| From linear stability to self-sustaining solutions: Taylor vortex flow through the lens of resolvent analysis B Barthel, X Zhu, B McKeon APS Division of Fluid Dynamics Meeting Abstracts, Y03. 003, 2020 | | 2020 |
| Resolvent analysis-based models of nonlinear Taylor vortex flow B Barthel, X Zhu, B McKeon APS Division of Fluid Dynamics Meeting Abstracts, M01. 012, 2019 | | 2019 |
| A machine learning framework for correcting under-resolved simulations of turbulent systems using nudged datasets B Barthel, T Sapsis | | |
Beverley McKeonStanford University在 stanford.edu 的电子邮件经过验证
