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
- see homepage (www.damtp.cam.ac.uk/user/rrk26)
Publications
Nonlinear optimals and their role in sustaining turbulence in channel flow
– Journal of Fluid Mechanics
(2025)
1015,
A50
(doi: 10.1017/jfm.2025.10396)
Linear instability in planar viscoelastic Taylor–Couette flow with and without explicit polymer diffusion
– Journal of Non Newtonian Fluid Mechanics
(2025)
345,
105459
(doi: 10.1016/j.jnnfm.2025.105459)
Revisiting two-dimensional viscoelastic Kolmogorov flow: a centre-mode-driven transition – CORRIGENDUM
– Journal of Fluid Mechanics
(2025)
1012,
e1
(doi: 10.1017/jfm.2025.345)
Linear instability in planar viscoelastic Taylor-Couette flow with and without explicit polymer diffusion
(2025)
Revisiting two-dimensional viscoelastic Kolmogorov flow: a centre-mode-driven transition
– Journal of Fluid Mechanics
(2025)
1007,
a55
(doi: 10.1017/jfm.2025.119)
Nonlinear optimals and their role in sustaining turbulence in channel flow.
(2025)
Transient Growth in Streaky Unbounded Shear Flow: A symbiosis of Orr and Push-over mechanisms
(2025)
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems
(2025)
Non-equivalence of quasi-linear dynamical systems and their statistical closures
– Journal of Fluid Mechanics
(2025)
1005,
a4
(doi: 10.1017/jfm.2024.578)
Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems.
– CoRR
(2025)
abs/2502.20603,
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