106 citations · 360 across the 21 of their papers we have counts for
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physics.flu-dyn2021★ 9 cited
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
Brendan Keith, Ustim Khristenko, Barbara Wohlmuth
We develop a novel data-driven approach to modeling the atmospheric boundary layer. This approach leads to a nonlocal, anisotropic synthetic turbulence model which we refer to as t…
gr-qc2021★ 14 cited
Learning orbital dynamics of binary black hole systems from gravitational wave measurements
Brendan Keith, Akshay Khadse, Scott E. Field
We introduce a gravitational waveform inversion strategy that discovers mechanical models of binary black hole (BBH) systems. We show that only a single time series of (possibly no…