Lorenzo Frassinetti

KTH Royal Institute of Technology

Sweden

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Articles (19)

Density pedestal prediction model for tokamak plasmas

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Year:

2024

Isotope effects and Alfvén eigenmode stability in JET H, D, T, DT, and He plasmas

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Year:

2024

Fuelling of deuterium–tritium plasma by peripheral pellets in JET experiments

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Year:

2024

Validated edge and core predictions of tungsten erosion and transport in JET ELMy H-mode plasmas

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Year:

2024

First-principle based predictions of the effects of negative triangularity on DTT scenarios

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Year:

2024

Improved accuracy and robustness of electron density profiles from JET’s X-mode frequency-modulated continuous-wave reflectometers

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Year:

2024

Representation learning algorithms for inferring machine independent latent features in pedestals in JET and AUG

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Year:

2024

Pedestal particle balance studies in JET-ILW H-mode plasmas

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Year:

2023

Isotope mass dependence of pedestal transport in JET H-mode plasmas

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Year:

2023

Investigation of the dependence of pe,ped on ne,sep in JET H-Mode plasmas using integrated JETTO-MISHKA-FRANTIC simulations

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Year:

2023

Core integrated simulations for the Divertor Tokamak Test facility scenarios towards consistent core-pedestal-SOL modelling

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Year:

2023

ELM temperature in JET and COMPASS tokamak divertors

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Year:

2023

Testing a prediction model for the H-mode density pedestal against JET-ILW pedestals

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Year:

2023

Supervised learning approaches to modeling pedestal density

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Year:

2023

Parameter dependencies of the separatrix density in low triangularity L-mode and H-mode JET-ILW plasmas

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Year:

2023

Developing deep learning algorithms for inferring upstream separatrix density at JET

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Year:

2023

Effect of the isotope mass on pedestal structure, transport and stability in D, D/T and T plasmas at similar β N and gas rate in JET-ILW type I ELMy H-modes

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Year:

2023

Modelling performed for predictions of fusion power in JET DTE2: overview and lessons learnt

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Year:

2023

Effect of resistivity on the pedestal MHD stability in JET

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Year:

2022

Collaborators (13)

Henri Kumpulainen

Aalto University

FINLAND

Petr Bohm

Institute of Plasma Physics, The Czech Academy of Sciences

CZECH REPUBLIC

Marco Cavedon

University of Milano-Bicocca

ITALY

Petra Bílková

Institute of Plasma Physics

CZECH REPUBLIC

Laszlo Horvath

Princeton University Plasma Physics Laboratory

UNITED STATES

Mathias Groth

Professor Nuclear Engineering

Aalto University

FINLAND

Tobias Görler

Max Planck Institute for Plasma Physics

GERMANY

Philip A Schneider

Max Planck Institute for Plasma Physics

GERMANY

Alessandro Balestri

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

Fulvio Auriemma

ITALY

Bohdan Bieg

Maritime University of Szczecin

POLAND

D. R. Hatch

UNITED STATES

Samuli Saarelma

United Kingdom Atomic Energy Authority

UNITED KINGDOM

Lorenzo Frassinetti

Research Interests

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Articles (19)

Density pedestal prediction model for tokamak plasmas

Isotope effects and Alfvén eigenmode stability in JET H, D, T, DT, and He plasmas

Fuelling of deuterium–tritium plasma by peripheral pellets in JET experiments

Validated edge and core predictions of tungsten erosion and transport in JET ELMy H-mode plasmas

First-principle based predictions of the effects of negative triangularity on DTT scenarios

Improved accuracy and robustness of electron density profiles from JET’s X-mode frequency-modulated continuous-wave reflectometers

Representation learning algorithms for inferring machine independent latent features in pedestals in JET and AUG

Pedestal particle balance studies in JET-ILW H-mode plasmas

Isotope mass dependence of pedestal transport in JET H-mode plasmas

Investigation of the dependence of pe,ped on ne,sep in JET H-Mode plasmas using integrated JETTO-MISHKA-FRANTIC simulations

Core integrated simulations for the Divertor Tokamak Test facility scenarios towards consistent core-pedestal-SOL modelling

ELM temperature in JET and COMPASS tokamak divertors

Testing a prediction model for the H-mode density pedestal against JET-ILW pedestals

Supervised learning approaches to modeling pedestal density

Parameter dependencies of the separatrix density in low triangularity L-mode and H-mode JET-ILW plasmas

Developing deep learning algorithms for inferring upstream separatrix density at JET

Effect of the isotope mass on pedestal structure, transport and stability in D, D/T and T plasmas at similar β N and gas rate in JET-ILW type I ELMy H-modes

Modelling performed for predictions of fusion power in JET DTE2: overview and lessons learnt

Effect of resistivity on the pedestal MHD stability in JET

Collaborators (13)

Henri Kumpulainen

Petr Bohm

Marco Cavedon

Petra Bílková

Laszlo Horvath

Mathias Groth

Tobias Görler

Philip A Schneider

Alessandro Balestri

Fulvio Auriemma

Bohdan Bieg

D. R. Hatch

Samuli Saarelma

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