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Stellarator Turbulence: Subdominant Eigenmodes and Quasilinear Modeling

Physical review letters, 2016-02, Vol.116 (8), Article 085001

2016

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Overview of tokamak turbulence stabilization by fast ions

Plasma physics and controlled fusion, 2023-03, Vol.65 (3), p.33001

2023

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Fast modeling of turbulent transport in fusion plasmas using neural networks

Physics of plasmas, 2020-02, Vol.27 (2)

2020

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Nonlinear stabilization of tokamak microturbulence by fast ions

Physical review letters, 2013-10, Vol.111 (15), p.155001-155001, Article 155001

2013

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Neural network surrogate of QuaLiKiz using JET experimental data to populate training space

Physics of plasmas, 2021-03, Vol.28 (3)

2021

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Quasilinear theory and modelling of gyrokinetic turbulent transport in tokamaks

Nuclear fusion, 2024-10, Vol.64 (10), p.103001

2024

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Improved flux-surface parameterization through constrained nonlinear optimization

Physics of plasmas, 2023-06, Vol.30 (6)

2023

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Saturation and nonlinear electromagnetic stabilization of ITG turbulence

Physics of plasmas, 2019-08, Vol.26 (8)

2019

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Overview of multiscale turbulence studies covering ion-to-electron scales in magnetically confined fusion plasma

Nuclear fusion, 2024-11, Vol.64 (11), p.112007

2024

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On the impact of electric field fluctuations on microtearing turbulence

Physics of plasmas, 2023-04, Vol.30 (4)

2023

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Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles

Nuclear fusion, 2024-03, Vol.64 (3), p.36022

2024

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On microinstabilities and turbulence in steep-gradient regions of fusion devices

Plasma physics and controlled fusion, 2019-02, Vol.61 (3), p.34002

2019

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Maximizing the ion temperature in an electron heated plasma: from WEST towards larger devices

Nuclear fusion, 2024-03, Vol.64 (3), p.36011

2024

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Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS

Nuclear fusion, 2021-02, Vol.61 (2), p.26006

2021

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Progress and challenges in understanding core transport in tokamaks in support to ITER operations

Plasma physics and controlled fusion, 2020-01, Vol.62 (1), p.14021

2020

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Comparison between measured and predicted turbulence frequency spectra in ITG and TEM regimes

Plasma physics and controlled fusion, 2017-05, Vol.59 (6), p.64010

2017

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Determining the access to H–mode in the ITER pre–fusion and fusion power operation phases at low plasma current with full–radius TGLF–SAT2 simulations of L–mode plasmas

Nuclear fusion, 2023-12, Vol.63 (12), p.126035

2023

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

Nuclear fusion, 2023-01, Vol.63 (1), p.16019

2023

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Electromagnetic stabilization of tokamak microturbulence in a high-β regime

Plasma physics and controlled fusion, 2015-01, Vol.57 (1), p.14032-11

2015

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Predictive JET current ramp-up modelling using QuaLiKiz-neural-network

Nuclear fusion, 2023-06, Vol.63 (6), p.66014

2023

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Quasilinear gyrokinetic theory: a derivation of QuaLiKiz

Journal of plasma physics, 2021-08, Vol.87 (4), Article 905870409

2021

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Benchmark of quasi-linear models against gyrokinetic single scale simulations in deuterium and tritium plasmas for a JET high beta hybrid discharge

Nuclear fusion, 2021-06, Vol.61 (6), p.66032

2021

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Stellarator Turbulence: Subdominant Eigenmodes and Quasilinear Modeling

Physical review letters, 2016-02, Vol.116 (8), p.085001-085001

2016

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Modelling and theoretical understanding of the isotope effect from JET experiments in view of reliable predictions for deuterium-tritium plasmas

Plasma physics and controlled fusion, 2022-05, Vol.64 (5), p.54001

2022

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Growth rates of ITG modes in the presence of flow shear

Physics of plasmas, 2019-01, Vol.26 (1)

2019

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Stellarator Turbulence: Subdominant Eigenmodes and Quasilinear Modeling

Overview of tokamak turbulence stabilization by fast ions

Fast modeling of turbulent transport in fusion plasmas using neural networks

Nonlinear stabilization of tokamak microturbulence by fast ions

Neural network surrogate of QuaLiKiz using JET experimental data to populate training space

Quasilinear theory and modelling of gyrokinetic turbulent transport in tokamaks

Improved flux-surface parameterization through constrained nonlinear optimization

Saturation and nonlinear electromagnetic stabilization of ITG turbulence

Overview of multiscale turbulence studies covering ion-to-electron scales in magnetically confined fusion plasma

On the impact of electric field fluctuations on microtearing turbulence

Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles

On microinstabilities and turbulence in steep-gradient regions of fusion devices

Maximizing the ion temperature in an electron heated plasma: from WEST towards larger devices

Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS

Progress and challenges in understanding core transport in tokamaks in support to ITER operations

Comparison between measured and predicted turbulence frequency spectra in ITG and TEM regimes

Determining the access to H–mode in the ITER pre–fusion and fusion power operation phases at low plasma current with full–radius TGLF–SAT2 simulations of L–mode plasmas

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

Electromagnetic stabilization of tokamak microturbulence in a high-β regime

Predictive JET current ramp-up modelling using QuaLiKiz-neural-network

Quasilinear gyrokinetic theory: a derivation of QuaLiKiz

Benchmark of quasi-linear models against gyrokinetic single scale simulations in deuterium and tritium plasmas for a JET high beta hybrid discharge

Stellarator Turbulence: Subdominant Eigenmodes and Quasilinear Modeling

Modelling and theoretical understanding of the isotope effect from JET experiments in view of reliable predictions for deuterium-tritium plasmas

Growth rates of ITG modes in the presence of flow shear

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