skip to content

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

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
polymeric diffusive instability leading to elastic turbulence in plane Couette flow
M Beneitez, J Page, RR Kerswell
– Physical Review Fluids
(2023)
8,
l101901
Physics-informed neural network to augment experimental data: an application to stratified flows
L Zhu, X Jiang, A Lefauve, RR Kerswell, PF Linden
(2023)
Exact coherent structures in two-dimensional turbulence identified with convolutional autoencoders
J Page, J Holey, MP Brenner, RR Kerswell
(2023)
Long-wave instabilities of sloping stratified exchange flows
L Zhu, A Atoufi, A Lefauve, RR Kerswell, PF Linden
(2023)
Inertial enhancement of the polymer diffusive instability
MMP Couchman, M Beneitez, J Page, RR Kerswell
(2023)
Multistability of elasto-inertial two-dimensional channel flow
M Beneitez, J Page, Y Dubief, RR Kerswell
(2023)
Stratified inclined duct: direct numerical simulations
L Zhu, A Atoufi, A Lefauve, JR Taylor, RR Kerswell, SB Dalziel, GA Lawrence, PF Linden
– Journal of Fluid Mechanics
(2023)
969,
a20
Learning Stochastic Dynamics with Probabilistic Neural Networks to study Zonal Jets
I Shokar, P Haynes, R Kerswell
(2023)
  • <
  • 2 of 15
  • >

Research Group

High-Reynolds-Number Fluid Flow

Room

G1.03

Telephone

01223 766349