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Career

  • 2017- date:  DAMTP,  Cambridge University
  • 1996-2017:  Mathematics,  Bristol University
  • 1992-1996:  Mathematics,  Newcastle University
  • 1992          :  PhD,  MIT

Research

General fluid mechanics: the Navier-Stokes equations (nonlinear dynamics, transition and turbulence); geophysical and astrophysical fluid mechanics (e.g. convection; stably stratified flows; tidal, precessional and librational motion of planetary interiors and subsurface oceans; accretion disks);

Selected Publications

Publications

Heat transport in Rayleigh-Bénard convection with linear marginality
B Wen, Z Ding, GP Chini, RR Kerswell
– Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
(2022)
380,
20210039
Weakly nonlinear analysis of the viscoelastic instability in channel flow for finite and vanishing Reynolds numbers
G Buza, J Page, RR Kerswell
– Journal of Fluid Mechanics
(2022)
940,
a11
Sensitivity and downstream influence of the impinging leading-edge vortex instability in a bileaflet mechanical heart valve
H Zolfaghari, RR Kerswell, D Obrist, PJ Schmid
– Journal of Fluid Mechanics
(2022)
936,
a41
Finite-amplitude elastic waves in viscoelastic channel flow from large to zero Reynolds number
G Buza, M Beneitez, J Page, RR Kerswell
(2022)
Non-equivalence of quasilinear dynamical systems and their statistical closures
GV Nivarti, RR Kerswell, JB Marston, SM Tobias
(2022)
Improved assessment of the statistical stability of turbulent flows using extended Orr-Sommerfeld stability analysis
VK Markeviciute, RR Kerswell
(2022)
Data‐Driven Identification of Turbulent Oceanic Mixing From Observational Microstructure Data
MMP Couchman, B Wynne-Cattanach, MH Alford, CCP Caulfield, RR Kerswell, JA MacKinnon, G Voet
– Geophysical Research Letters
(2021)
48,
ARTN e2021GL094978
Optimal perturbation growth on a breaking internal gravity wave
JP Parker, CJ Howland, CP Caulfield, RR Kerswell
– Journal of Fluid Mechanics
(2021)
925,
A16
Degeneracy of turbulent states in two-dimensional channel flow
VK Markeviciute, RR Kerswell
– Journal of Fluid Mechanics
(2021)
917,
a57
Revealing the state space of turbulence using machine learning
J Page, MP Brenner, RR Kerswell
– Physical Review Fluids
(2021)
6,
034402
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Research Group

High-Reynolds-Number Fluid Flow

Room

G1.03

Telephone

01223 766349