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Department of Applied Mathematics and Theoretical Physics

Professor Rich Kerswell

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

The polymer diffusive instability in highly concentrated polymeric fluids
T Lewy, R Kerswell
– Journal of Non Newtonian Fluid Mechanics
(2024)
326,
105212
(doi: 10.1016/j.jnnfm.2024.105212)
Multistability of elasto-inertial two-dimensional channel flow
M Beneitez, J Page, Y Dubief, RR Kerswell
– Journal of Fluid Mechanics
(2024)
981,
a30
(doi: 10.1017/jfm.2024.50)
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
(doi: 10.1017/jfm.2024.49)
Inertial enhancement of the polymer diffusive instability
R Kerswell
– Journal of Fluid Mechanics
(2024)
981,
a2
(doi: 10.1017/jfm.2024.21)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
R Ohana, M McCabe, L Meyer, R Morel, FJ Agocs, M Beneitez, M Berger, B Burkhart, SB Dalziel, DB Fielding, D Fortunato, JA Goldberg, K Hirashima, Y-F Jiang, RR Kerswell, S Maddu, J Miller, P Mukhopadhyay, SS Nixon, J Shen, R Watteaux, BR-S Blancard, F Rozet, LH Parker, MD Cranmer, S Ho
– NeurIPS
(2024)
(doi: 10.17863/CAM.113689)
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.
R Ohana, M McCabe, L Meyer, R Morel, FJ Agocs, M Beneitez, M Berger, B Burkhart, SB Dalziel, DB Fielding, D Fortunato, JA Goldberg, K Hirashima, YF Jiang, RR Kerswell, S Maddu, J Miller, P Mukhopadhyay, SS Nixon, J Shen, R Watteaux, BRS Blancard, F Rozet, LH Parker, M Cranmer, S Ho
– CoRR
(2024)
abs/2412.00568,
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
(doi: 10.1017/jfm.2023.871)
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
IJS Shokar, RR Kerswell, PH Haynes
(2023)
(link to publication)
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 Computational Biology
(2023)
19,
e1011479
(doi: 10.1371/journal.pcbi.1011479)
polymeric diffusive instability leading to elastic turbulence in plane Couette flow
M Beneitez, J Page, RR Kerswell
– Physical Review Fluids
(2023)
8,
l101901
(doi: 10.1103/physrevfluids.8.l101901)
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Research Group

High-Reynolds-Number Fluid Flow

Email

r.r.kerswell@damtp.cam.ac.uk

Room

G1.03

Telephone

01223 766349

Study at Cambridge

About the University

Research at Cambridge