most citedMachine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress

26 citations · 26 across the 1 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2023★ 26 cited

Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress

Baptiste Hardy, Stefanie Rauchenzauner, Pascal Fede +4

Gas-particle flows are commonly simulated through two-fluid model at industrial-scale. However, these simulations need very fine grid to have accurate flow predictions, which is pr…

physics.med-ph2023

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…