15 citations · 24 across the 4 of their papers we have counts for
5 papers
Learning to reconstruct Germano Differential Filtered Fields with Convolutional Neural Networks for Large Eddy Simulation of Plasma Turbulence
Jony Castagna, Josh Williams
We present a novel method which combines the invertibility of the differential filter of Germano, with convolutional networks to accelerate plasma turbulence simulations. Rather th…
Deposition simulations of realistic dosages in patient-specific airways with two- and four-way coupling
Josh Williams, Jose Manuel Menendez Montes, Steve Cunningham +2
Inhalers spray over 100 million drug particles into the mouth, where a significant portion of the drug may deposit. Understanding how the complex interplay between particle and sol…
Validated respiratory drug deposition predictions from 2D and 3D medical images with statistical shape models and convolutional neural networks
Josh Williams, Haavard Ahlqvist, Alexander Cunningham +7
For the one billion sufferers of respiratory disease, managing their disease with inhalers crucially influences their quality of life. Generic treatment plans could be improved wit…
pyssam -- a Python library for statistical modelling of biomedical shape and appearance
Josh Williams, Ali Ozel, Uwe Wolfram
pyssam is a Python library for creating statistical shape and appearance models (SSAMs) for biological (and other) shapes such as bones, lungs or other organs. A point cloud best d…
Neural stochastic differential equations for particle dispersion in large-eddy simulations of homogeneous isotropic turbulence
Josh Williams, Uwe Wolfram, Ali Ozel
In dilute turbulent particle-laden flows, such as atmospheric dispersion of pollutants or virus particles, the dynamics of tracer-like to low inertial particles are significantly a…