7 citations · 8 across the 5 of their papers we have counts for
6 papers
Simulating non-trivial incompressible flows with a quantum lattice Boltzmann algorithm
David Jennings, Kamil Korzekwa, Matteo Lostaglio +4
Quantum algorithms have been identified as a potential means to accelerate computational fluid dynamics (CFD) simulations, with the lattice Boltzmann method (LBM) being a promising…
Spatially localised doubly diffusive convection in an axisymmetric spherical shell
Paul M. Mannix, Cedric Beaume
Doubly diffusive convection describes the fluid motion driven by the competition of temperature and salinity gradients diffusing at different rates. While the convective motions dr…
Constructing PDFs of spatially dependent fields using finite elements
Paul M. Mannix, David A. Ham, John Craske
A probability density function (PDF) of a spatially dependent field provides a means of calculating moments of the field or, equivalently, the proportion of a spatial domain that i…
Transport and mixing in control volumes through the lens of probability
John Craske, Paul Mannix
A partial differential equation governing the global evolution of the joint probability distribution of an arbitrary number of local flow observations, drawn randomly from a contro…
A robust, discrete-gradient descent procedure for optimisation with time-dependent PDE and norm constraints
Paul M Mannix, Calum S Skene, Didier Auroux +1
Many physical questions in fluid dynamics can be recast in terms of norm constrained optimisation problems; which in-turn, can be further recast as unconstrained problems on spheri…
A systematic route to subcritical dynamo branches
Paul M. Mannix, Yannick Ponty, Florence Marcotte
We demonstrate that the nonlinear optimisation of a finite-amplitude disturbance over a freely evolving and possibly even turbulent flow, can successfully identify subcritical dyna…