Publicaciones en colaboración con investigadores/as de University of Padua (13)

2024

  1. Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time

    Nuclear Fusion, Vol. 64, Núm. 4

2022

  1. Disruption prediction with artificial intelligence techniques in tokamak plasmas

    Nature Physics, Vol. 18, Núm. 7, pp. 741-750

  2. Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions

    Nature Physics, Vol. 18, Núm. 7, pp. 776-782

  3. Frontiers in data analysis methods: From causality detection to data driven experimental design

    Plasma Physics and Controlled Fusion, Vol. 64, Núm. 2

  4. Overview of JET results for optimising ITER operation

    Nuclear Fusion, Vol. 62, Núm. 4

  5. Performance Analysis of the Centroid Method Predictor Implemented in the JET Real Time Network

    Plasma Physics and Controlled Fusion, Vol. 64, Núm. 11

2020

  1. A linear equation based on signal increments to predict disruptive behaviours and the time to disruption on jet

    Nuclear Fusion, Vol. 60, Núm. 2

2019

  1. A locked mode indicator for disruption prediction on JET and ASDEX upgrade

    Fusion Engineering and Design, Vol. 138, pp. 254-266

2018

  1. Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

    Nuclear Fusion, Vol. 58, Núm. 5

  2. Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe

    IEEE Transactions on Nuclear Science, Vol. 65, Núm. 2, pp. 836-842

2016

  1. Review of disruption predictors in nuclear fusion: Classical, from scratch and anomaly detection approaches

    IECON Proceedings (Industrial Electronics Conference)

2015

  1. Advanced disruption predictor based on the locked mode signal: Application to JET

    Proceedings of Science

  2. Disruption precursor detection: Combining the time and frequency domains

    Proceedings - Symposium on Fusion Engineering