Publications by Michele Marin | EPFL Graph Search

Full radius integrated modelling of ohmic ramp-up at TCV including self consistent density prediction

Olivier Sauter, Michele Marin, Reinart Andreas J. Coosemans

The ramp-up is a critical phase in the operations of a Tokamak, during which engineering and physics aspects must be taken into account to ensure stability, minimize flux consumption and avoid disruptions. Predicting ramp-up phases faces challenges such as ...

IOP Publishing Ltd2025

Experimental research on the TCV tokamak

Olivier Sauter, Ambrogio Fasoli, Stefano Coda, Timothy Goodman, Yves Martin, Stefano Alberti, Ivo Furno, Duccio Testa, Patrick Blanchard, Holger Reimerdes

Tokamak à configuration variable (TCV), recently celebrating 30 years of near-continual operation, continues in its missions to advance outstanding key physics and operational scenario issues for ITER and the design of future power plants such as DEMO. The ...

IOP Publishing Ltd2024

Overview of the EUROfusion Tokamak Exploitation programme in support of ITER and DEMO

Olivier Sauter, Basil Duval, Stefano Coda, Timothy Goodman, Jean-Marc Moret, Duccio Testa, Patrick Blanchard, Holger Reimerdes, Benoît Labit, Christian Gabriel Theiler

Within the 9th European Framework programme, since 2021 EUROfusion is operating five tokamaks under the auspices of a single Task Force called ‘Tokamak Exploitation’. The goal is to benefit from the complementary capabilities of each machine in a coordinat ...

IOP Publishing Ltd2024

The core-edge integrated neon-seeded scenario in deuterium-tritium at JET

Michele Marin

This paper reports the first experiment carried out in deuterium-tritium addressing the integration of a radiative divertor for heat-load control with good confinement. Neon seeding was carried out for the first time in a D-T plasma as part of the second D ...

IOP Publishing Ltd2024

Integrated modelling of neon impact on JET H-mode core plasmas

Yann Camenen, Michele Marin

Nuclear fusion reactor plasmas will need to exhaust a significant proportion of energy flux through radiative processes, to enable acceptable divertor loads. This can be obtained by line radiation from impurities, injected from the plasma edge. There are h ...

IOP Publishing Ltd2023

Validation of D-T fusion power prediction capability against 2021 JET D-T experiments

Michele Marin, Javier García Hernández, Mikhail Maslov

JET experiments using the fuel mixture envisaged for fusion power plants, deuterium and tritium (D-T), provide a unique opportunity to validate existing D-T fusion power prediction capabilities in support of future device design and operation preparation. ...

IOP Publishing Ltd2023

JET D-T scenario with optimized non-thermal fusion

Haomin Sun, Michele Marin, Javier García Hernández, Mikhail Maslov

In JET deuterium-tritium (D-T) plasmas, the fusion power is produced through thermonuclear reactions and reactions between thermal ions and fast particles generated by neutral beam injection (NBI) heating or accelerated by electromagnetic wave heating in t ...

IOP Publishing Ltd2023

Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN

Olivier Sauter, Federico Alberto Alfredo Felici, Michele Marin, Simon Van Mulders

This work presents a fast and robust method for optimizing the stationary radial distribution of temperature, density and parallel current density in a tokamak plasma and its application to first-principle-based modeling of the ITER hybrid scenario. A new ...

IOP Publishing Ltd2021

Isotope dependence of energy, momentum and particle confinement in tokamaks

Henri Weisen, Michele Marin, Yann Camenen, Javier García Hernández

The isotope dependence of plasma transport will have a significant impact on the performance of future D-T experiments in JET and ITER and eventually on the fusion gain and economics of future reactors. In preparation for future D-T operation on JET, dedic ...

Cambridge University Press2020

Deep neural networks for plasma tomography with applications to JET and COMPASS

Olivier Sauter, Ambrogio Fasoli, Yiming Li, Basil Duval, Jonathan Graves, Duccio Testa, Patrick Blanchard, Henri Weisen, Federico Nespoli, Alessandro Pau

Convolutional neural networks (CNNs) have found applications in many image processing tasks, such as feature extraction, image classification, and object recognition. It has also been shown that the inverse of CNNs, so-called deconvolutional neural network ...

2019