46 citations · 75 across the 5 of their papers we have counts for
3 papers · 1 filter
Automatic classification of plasma regions in near-Earth space with supervised machine learning: application to Magnetospheric Multi Scale 2016-2019 observations
Hugo Breuillard, Romain Dupuis, Alessandro Retino +3
The proper classification of plasma regions in near-Earth space is crucial to perform unambiguous statistical studies of fundamental plasma processes such as shocks, magnetic recon…
Tokamak disruption prediction using different machine learning techniques
Joost Croonen, Jorge Amaya, Giovanni Lapenta
Disruption prediction and mitigation is of key importance in the development of sustainable tokamakreactors. Machine learning has become a key tool in this endeavour. In this paper…
Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions
Romain Dupuis, Martin V. Goldman, David L. Newman +2
We present a method based on unsupervised machine learning to identify regions of interest using particle velocity distributions as a signature pattern. An automatic density estima…