106 citations · 202 across the 13 of their papers we have counts for
3 papers · 1 filter
Autoregressive Transformers for Data-Driven Spatio-Temporal Learning of Turbulent Flows
Aakash Patil, Jonathan Viquerat, Elie Hachem
A convolutional encoder-decoder-based transformer model is proposed for autoregressively training on spatio-temporal data of turbulent flows. The prediction of future fluid flow fi…
Aggregation and disaggregation processes in clusters of particles: simple numerical and theoretical insights of the competition in 2D geometries
Louis-Vincent Bouthier, Romain Castellani, Sébastien Manneville +3
Aggregation and disaggregation of clusters of attractive particles under flow are studied from numerical and theoretical points of view. Two-dimensional molecular dynamics simulati…
Proposition of extension of models relating rheological quantities and microscopic structure through the use of a double fractal structure
Louis-Vincent Bouthier, Romain Castellani, Elie Hachem +1
Colloidal suspensions and the relation between their rheology and their microstructure is investigated. The literature showed great evidence of the relation between rheological qua…