E. Aymerich

University of Cagliari — Italy

Physics and Astronomy · Physical Sciences

12h-index642citations31works13.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Magnetic confinement fusion research(17), Fusion materials and technologies(9), Nuclear reactor physics and engineering(7), Anomaly Detection Techniques and Applications(7), Fault Detection and Control Systems(5)

Publications31 total

Demonstration of Super-X divertor exhaust control for transient heat load management in compact fusion reactors
Nature Energy·2025· 8 citedOpen Access
Automatic estimation of heat loads distribution on STRIKE through multi-layer perceptrons
Fusion Engineering and Design·2025· 1 citedOpen Access
Predicting Overload Risk on Plasma-Facing Components at Wendelstein 7-X from IR Imaging Using Self-Organizing Maps
Energies·2025Open Access
Machine learning for solving the inverse thermal problem on STRIKE in real-time
Plasma Physics and Controlled Fusion·2025Open Access
A self-organised partition of the high dimensional plasma parameter space for plasma disruption prediction
Nuclear Fusion·2024· 3 citedOpen Access
Overview of the first Wendelstein 7-X long pulse campaign with fully water-cooled plasma facing components
Nuclear Fusion·2024· 28 citedOpen Access
MHD spectrogram contribution to disruption prediction using Convolutional Neural Networks
Fusion Engineering and Design·2024· 4 citedOpen Access
eXplainable artificial intelligence applied to algorithms for disruption prediction in tokamak devices
Frontiers in Physics·2024· 8 citedOpen Access
Automated W7-X sawtooth crashes detection and characterization
Nuclear Fusion·2024· 1 citedOpen Access
Overview of T and D–T results in JET with ITER-like wall
Nuclear Fusion·2024· 83 citedOpen Access
A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors
Nature Communications·2024· 21 citedOpen Access
Overview of the EUROfusion Tokamak Exploitation programme in support of ITER and DEMO
Nuclear Fusion·2024· 22 citedOpen Access
Mhd Spectrogram Contribution to Disruption Prediction Using Convolutional Neural Networks
SSRN Electronic Journal·2024Open Access
White noise characterization and thermo-mechanical analysis of DTT pick-up coils
Fusion Engineering and Design·2023Open Access
CNN disruption predictor at JET: Early versus late data fusion approach
Fusion Engineering and Design·2023· 8 citedOpen Access
Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X
Nuclear Materials and Energy·2023· 15 citedOpen Access
Performance Comparison of Machine Learning Disruption Predictors at JET
Applied Sciences·2023· 15 citedOpen Access
Enhanced performance in fusion plasmas through turbulence suppression by megaelectronvolt ions
Nature Physics·2022· 89 citedOpen Access
Disruption prediction with artificial intelligence techniques in tokamak plasmas
Nature Physics·2022· 79 citedOpen Access
Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles
Nuclear Fusion·2022· 42 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

B. Cannas(15), G. Sias(13), Alessandra Fanni(13), F. Pisano(12), M. Balden(10), M. Baruzzo(8), E. Alessi(7), F. Auriemma(7), A. Baciero(7), I. Balboa(7), P. Aleynikov(6), C. Angioni(6), M. Ariola(6), M. Bernert(6), H. Betar(6), M. Beurskens(6), P. Abreu(5), Muhammad Afzal(5), R. Albanese(5), S. Aleiferis(5)