@chriskeylock.bsky.social
Turbulence and methods for studying nonlinear systems
Proud uncle: Finn scores on debut for Saracens against Harlequins:
November 16, 2025 at 6:12 PM
Proud uncle: Finn scores on debut for Saracens against Harlequins:
Just getting ready for Oliver's inaugural @imperialcollege.
November 5, 2025 at 5:21 PM
Just getting ready for Oliver's inaugural @imperialcollege.
We have funding for a PhD on wind turbine wake characterization:
auracdt.hull.ac.uk/research-pro...
This is part of the Aura Centre for Doctoral Training and is a collaboration between Yi Li (Maths, Sheffield), Jialin Su (Aero, Loughborough) and myself.
auracdt.hull.ac.uk/research-pro...
This is part of the Aura Centre for Doctoral Training and is a collaboration between Yi Li (Maths, Sheffield), Jialin Su (Aero, Loughborough) and myself.
Single-turbine scale quantification of wake turbulence - Aura Centre for Doctoral Training
The Aura CDT II PhD Scholarship research project supervised by Professor Chris Keylock at Loughborough University is open to new applicants.
auracdt.hull.ac.uk
October 29, 2025 at 3:13 PM
We have funding for a PhD on wind turbine wake characterization:
auracdt.hull.ac.uk/research-pro...
This is part of the Aura Centre for Doctoral Training and is a collaboration between Yi Li (Maths, Sheffield), Jialin Su (Aero, Loughborough) and myself.
auracdt.hull.ac.uk/research-pro...
This is part of the Aura Centre for Doctoral Training and is a collaboration between Yi Li (Maths, Sheffield), Jialin Su (Aero, Loughborough) and myself.
Our new MSc programmes starting in 2026: Should be of interest to graduates interested in moving into the water management sector and learning data analytics' methods in the context of natural hazards prediction and management.
September 3, 2025 at 9:20 AM
Our new MSc programmes starting in 2026: Should be of interest to graduates interested in moving into the water management sector and learning data analytics' methods in the context of natural hazards prediction and management.
In the second paper from this @leverhulme.ac.uk funded project, we explore communities in the turbulence network. The most effective nodal grouping does not map well into conventional classifications; tensor non-normality is crucial for effective classification
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Communities for the Lagrangian dynamics of the turbulent velocity gradient tensor: A network participation approach
In this paper, we present a network-based framework for analyzing the Lagrangian dynamics of the velocity gradient tensor (VGT). Each node represents …
www.sciencedirect.com
August 5, 2025 at 10:50 AM
In the second paper from this @leverhulme.ac.uk funded project, we explore communities in the turbulence network. The most effective nodal grouping does not map well into conventional classifications; tensor non-normality is crucial for effective classification
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
Here we define a state-space vector for the turbulent velocity gradient tensor based on signs and relative magnitudes of the second and third invariants. We then study the properties of HIT on this network: dx.doi.org/10.1103/Phys...
(supported by @leverhulme.ac.uk )
(supported by @leverhulme.ac.uk )
Complex network approach to turbulent velocity gradient dynamics: High- and low-probability Lagrangian paths
Complex network analysis has been used previously in turbulence fluid mechanics to characterize dynamics in a discrete manner. In this work, rather than defining nodes based on physical coordinates, w...
dx.doi.org
August 4, 2025 at 1:37 PM
Here we define a state-space vector for the turbulent velocity gradient tensor based on signs and relative magnitudes of the second and third invariants. We then study the properties of HIT on this network: dx.doi.org/10.1103/Phys...
(supported by @leverhulme.ac.uk )
(supported by @leverhulme.ac.uk )