Notice détaillée
Titre
Pau, Alessandro
Sciper ID
306485
Laboratoires affiliés
SPC
Publications
A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET
A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks
A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET
Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks
Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade
Overview of the TCV tokamak experimental programme
Plasma confinement mode classification using a sequence-to-sequence neural network with attention
Progress from ASDEX Upgrade experiments in preparing the physics basis of ITER operation and DEMO scenario development
Progress in preparing real-time control schemes for Deuterium-Tritium operation in JET
Progress in the development of the ITER baseline scenario in TCV
Voir toutes les publications (19)
A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks
A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET
Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks
Disruption avoidance and investigation of the H-Mode density limit in ASDEX Upgrade
Overview of the TCV tokamak experimental programme
Plasma confinement mode classification using a sequence-to-sequence neural network with attention
Progress from ASDEX Upgrade experiments in preparing the physics basis of ITER operation and DEMO scenario development
Progress in preparing real-time control schemes for Deuterium-Tritium operation in JET
Progress in the development of the ITER baseline scenario in TCV
Voir toutes les publications (19)
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