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Department of Applied Mathematics and Theoretical Physics

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

Recurrent flow patterns as a basis for turbulence: predicting statistics from structures
J Page, P Norgaard, MP Brenner, RR Kerswell
– Proceedings of the National Academy of Sciences of the United States of America
(2024)
121,
e2320007121
Long-wave instabilities of sloping stratified exchange flows
L Zhu, A Atoufi, A Lefauve, RR Kerswell, PF Linden
– Journal of Fluid Mechanics
(2024)
983,
a12
Predicting burst events in a forced 2D flow: A wavelet-based analysis
A Madhusudanan, RR Kerswell
(2024)
The polymer diffusive instability in highly concentrated polymeric fluids
T Lewy, R Kerswell
– Journal of Non-Newtonian Fluid Mechanics
(2024)
326,
105212
Multistability of elasto-inertial two-dimensional channel flow
M Beneitez, J Page, Y Dubief, RR Kerswell
– Journal of Fluid Mechanics
(2024)
981,
a30
New insights into experimental stratified flows obtained through physics-informed neural networks
L Zhu, X Jiang, A Lefauve, RR Kerswell, PF Linden
– Journal of Fluid Mechanics
(2024)
981,
r1
Inertial enhancement of the polymer diffusive instability
R Kerswell
– Journal of Fluid Mechanics
(2024)
981,
a2
Stratified inclined duct: Two-layer hydraulics and instabilities
A Atoufi, L Zhu, A Lefauve, JR Taylor, RR Kerswell, SB Dalziel, GA Lawrence, PF Linden
– Journal of Fluid Mechanics
(2023)
977,
a25
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
IJS Shokar, RR Kerswell, PH Haynes
(2023)
Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics
H Zolfaghari, M Andiapen, A Baumbach, A Mathur, RR Kerswell
– PLoS Comput Biol
(2023)
19,
e1011479
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Research Group

High-Reynolds-Number Fluid Flow

Room

G1.03

Telephone

01223 766349