128 citations · 164 across the 3 of their papers we have counts for
3 papers
Data-driven detection of drifting system parameters
Logan M. Kageorge, Roman O. Grigoriev, Michael F. Schatz
Data taken from observations of the natural world or laboratory measurements often depend on parameters which can vary in unexpected ways. In this paper we demonstrate how machine…
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…
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…