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Faculty of Mathematics

 

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

Linear instability in planar viscoelastic Taylor-Couette flow with and without explicit polymer diffusion
M Beneitez, S Mrini, RR Kerswell
– Journal of Non Newtonian Fluid Mechanics
(2025)
345,
105459
Revisiting two-dimensional viscoelastic Kolmogorov flow: a centre-mode-driven transition (vol 1007, A55, 2025)
T Lewy, RR Kerswell
– Journal of Fluid Mechanics
(2025)
1012,
e1
Linear instability in planar viscoelastic Taylor-Couette flow with and without explicit polymer diffusion
M Beneitez, S Mrini, RR Kerswell
(2025)
Revisiting two-dimensional viscoelastic Kolmogorov flow: a centre-mode-driven transition
T Lewy, RR Kerswell
– Journal of Fluid Mechanics
(2025)
1007,
a55
Nonlinear optimals and their role in sustaining turbulence in channel flow.
D Klingenberg, RR Kerswell
(2025)
Transient Growth in Streaky Unbounded Shear Flow: A symbiosis of Orr and Push-over mechanisms
W Oxley, RR Kerswell
(2025)
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
IJS Shokar, PH Haynes, RR Kerswell
(2025)
Non-equivalence of quasilinear dynamical systems and their statistical closures
GV Nivarti, RR Kerswell, JB Marston, SM Tobias
– Journal of Fluid Mechanics
(2025)
1005,
a4
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems.
IJS Shokar, PH Haynes, RR Kerswell
– CoRR
(2025)
abs/2502.20603,
Godunov loss functions for modelling of hyperbolic conservation laws
R Cassia, R Kerswell
– Computer Methods in Applied Mechanics and Engineering
(2025)
437,
117782
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Research Group

High-Reynolds-Number Fluid Flow

Room

G1.03

Telephone

01223 766349