Publications
Publications generated by the group are listed below. An archive of useful reference papers on startified turbulence (referenced throughout this website) is also provided. (Currently being updated)Journal Articles
Modelling dispersion in stratified turbulent flows as a resetting process
Petropoulos, N., de Bruyn Kops, S.M., and Caulfield C.P.,
Journal of Fluid Mechanics 1002 A48, (2025)
Prandtl number effects on extreme mixing events in forced stratified turbulence
Petropoulos, N., Couchman, M.M.P., Mashayek A., de Bruyn Kops, S.M., and Caulfield C.P.,
Journal of Fluid Mechanics 983 R1, (2024)
Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of deep time-series models
Gopalakrishnan Meena, M., Liousas, D., Simin, A.D., Kashi, A., Brewer, W.H., Riley, J.J., and de Bruyn Kops, S.M.,
Machine Learning Science and Technology 5 (4), 045063, (2024)
Predicting Timescales in Dynamical Systems With Explainable Machine Learning Models
Liousas, D., Simin, A. D., Brewer, W. H., Kashi, A., de Bruyn Kops, S. M., and Gopalakrishnan Meena, M.,
XAI4Sci - Explainable machine learning for sciences, 38th Annual AAAI Conference on Artificial Intelligence , (2024)
Understanding the effect of Prandtl number on momentum and scalar mixing rates in neutral and stably stratified flows using gradient field dynamics
Bragg, A.D., and de Bruyn Kops, S.M.,
Journal of Fluid Mechanics 992, A10, (2024)
The effect of Prandtl number on decaying stratified turbulence
Riley, J.J., Couchman, M.M.P., and de Bruyn Kops, S.M.,
Journal of Turbulence 24, (2023)
A data-driven method for modeling dissipation rates in stratified turbulence
Lewin, S.F., de Bruyn Kops, S.M., Caulfield, C.P., and Portwood, G.D.,
Journal of Fluid Mechanics 977, A37, (2023)
Mixing across stable density interfaces in forced stratified turbulence
Couchman, M.M.P., de Bruyn Kops, S.M., and Caulfield, C.P.,
Journal of Fluid Mechanics 961, A20, (2023)