Abstract in atti di convegno, 2022, ENG

Development of a fast low-resolution inversion method for the detection and classification of anomalous radiation patterns and disruption prediction

Wyss I.; Spolladore L.; Murari A.; Peluso E.; Gelfusa M.; Gaudio P.; Rossi R.

Università degli studi di Roma Tor Vergata, Rome, Italy; Consorzio RFX (CNR, ENEA, INFN, Università di Padova, Acciaierie Venete SpA), Padova and CNR ISTP - Istituto per la Scienza e Tecnologia dei Plasmi, Sede di Padova, Italy.

32nd Symposium on Fusion Technology - SOFT 2022, Dubrovnik, Croatia / hybrid, 18-23 September 2022

Keywords

Fusion Reactors, DEMO, Plasma Engineering, Plasma Control

CNR authors

Murari Andrea

CNR institutes

ISTP – Istituto per la Scienza e Tecnologia dei Plasmi

ID: 471467

Year: 2022

Type: Abstract in atti di convegno

Creation: 2022-09-30 09:21:06.000

Last update: 2022-11-28 22:33:39.000

CNR authors

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

URL: https://soft2022.eu/Programme/Programme-Overview

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:471467