44 citations · 44 across the 5 of their papers we have counts for
5 papers
Equation-informed data-driven identification of flow budgets and dynamics
Nataliya Sevryugina, Serena Costanzo, Stephen de Bruyn Kops +3
Computational Fluid Dynamics (CFD) is an indispensable method of fluid modelling in engineering applications, reducing the need for physical prototypes and testing for tasks such a…
Idealised Turbulent Wake With Steady, Non-Uniform Ambient Density Stratification
G. D. Portwood, S. M. de Bruyn Kops
Density stratification in geophysical environments can be non-uniform, particularly in thermohaline staircases and atmospheric layer transitions. Non-uniform stratification, howeve…
A Physics-based Scaling of the Charging Rate in Latent Heat Thermal Energy Storage Devices
Kedar Prashant Shete, S. M. de Bruyn Kops, Dragoljub +1
Thermal energy storage (TES) is increasingly recognized as an essential component of efficient Combined Heat and Power (CHP), Concentrated Solar Power (CSP), Heating Ventilation an…
Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions
S. M. de Bruyn Kops, D. J. Saunders, E. A. Rietman +1
An autoencoder is used to compress and then reconstruct three-dimensional stratified turbulence data in order to better understand fluid dynamics by studying the errors in the reco…
Asymptotic dynamics of high dynamic range stratified turbulence
G. D. Portwood, S. M. de Bruyn Kops, C. P. Caulfield
Direct numerical simulations of homogeneous sheared and stably stratified turbulence are considered to probe the asymptotic high-dynamic range regime suggested by Gargett et al. 19…