36 citations · 36 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2021
Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression
Patrick A. K. Reinbold, Logan M. Kageorge, Michael F. Schatz +1
Machine learning offers an intriguing alternative to first-principles analysis for discovering new physics from experimental data. However, to date, purely data-driven methods have…
physics.flu-dyn2020★ 36 cited
Capturing Turbulent Dynamics and Statistics in Experiments with Unstable Periodic Orbits
Balachandra Suri, Logan Kageorge, Roman O. Grigoriev +1
In laboratory studies and numerical simulations, we observe clear signatures of unstable time-periodic solutions in a moderately turbulent quasi-two-dimensional flow. We validate t…