activity
20122022
most citedTractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz

99 citations · 188 across the 5 of their papers we have counts for

collaborators

8 papers

physics.plasm-ph202224 cited

Integrated modelling and multiscale gyrokinetic validation study of ETG turbulence in a JET hybrid H-mode scenario

J Citrin, S Maeyama, C Angioni +11

Previous studies with first-principle-based integrated modelling suggested that ETG turbulence may lead to an anti-GyroBohm isotope scaling in JET high-performance hybrid H-mode sc…

physics.plasm-ph2021

Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

Aaron Ho, Jonathan Citrin, Fulvio Auriemma +7

This paper outlines an approach towards improved rigour in tokamak turbulence transport model validation within integrated modelling. Gaussian process regression (GPR) techniques w…

physics.plasm-ph2021

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

Aaron Ho, Jonathan Citrin, Clarisse Bourdelle +5

Within integrated tokamak plasma modelling, turbulent transport codes are typically the computational bottleneck limiting their routine use outside of post-discharge analysis. Neur…

physics.plasm-ph202122 cited

Multiple-isotope pellet cycles captured by turbulent transport modelling in the JET tokamak

M. Marin, J. Citrin, L. Garzotti +8

For the first time the pellet cycle of a multiple-isotope plasma is successfully reproduced with reduced turbulent transport modelling, within an integrated simulation framework. F…

physics.plasm-ph2019

Fast modeling of turbulent transport in fusion plasmas using neural networks

Karel Lucas van de Plassche, Jonathan Citrin, Clarisse Bourdelle +7

We present an ultrafast neural network (NN) model, QLKNN, which predicts core tokamak transport heat and particle fluxes. QLKNN is a surrogate model based on a database of 300 mill…

physics.plasm-ph201799 cited

Tractable flux-driven temperature, density, and rotation profile evolution with the quasilinear gyrokinetic transport model QuaLiKiz

J Citrin, C Bourdelle, F J Casson +14

Quasilinear turbulent transport models are a successful tool for prediction of core tokamak plasma profiles in many regimes. Their success hinges on the reproduction of local nonli…