113 citations · 522 across the 14 of their papers we have counts for
14 papers · 1 filter
A high-fidelity surrogate model for the ion temperature gradient (ITG) instability using a small expensive simulation dataset
Chenguang Wan, Youngwoo Cho, Zhisong Qu +7
One of the main challenges in building high-fidelity surrogate models of tokamak turbulence is the substantial demand for high-quality data. Typically, producing high-quality data…
Transport barrier onset and edge turbulence shortfall in fusion plasmas
Guilhem Dif-Pradalier, Philippe Ghendrih, Yanick Sarazin +7
Turbulent plasmas notably self-organize to higher energy states upon application of additional free energy sources or modification of edge operating conditions. Mechanisms whereby…
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…
First-principles-based multiple-isotope particle transport modelling at JET
M. Marin, J. Citrin, C. Bourdelle +6
Core turbulent particle transport with multiple isotopes can display observable differences in behaviour between the electron and ion particle channels. Experimental observations a…
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…
Spatially resolved determination of the electronic density and temperature by a visible spectrotomography diagnostic in a linear magnetized plasma
V. Gonzalez-Fernandez, P. David, R. Baude +2
In this work, a non-intrusive, spatially resolved, spectro-tomographic optical diagnostic of the electronic density and temperature on the linear plasma column Mistral is presented…
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…
Global scaling of the heat transport in fusion plasmas
Sara Moradi, Johan Anderson, Michele Romanelli +2
A global heat flux model based on a fractional derivative of plasma pressure is proposed for the heat transport in fusion plasmas. The degree of the fractional derivative of the he…
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…
Real-time capable first principle based modelling of tokamak turbulent transport
J. Citrin, S. Breton, F. Felici +7
A real-time capable core turbulence tokamak transport model is developed. This model is constructed from the regularized nonlinear regression of quasilinear gyrokinetic transport c…
Analysis of Lithium Driven Electron Density Peaking in FTU Liquid Lithium Limiter Experiments
G. Szepesi, M. Romanelli, F. Militello +7
The impact of lithium impurities on the microstability and turbulent transport characteristics in the core of a typical FTU Liquid Lithium Limiter (LLL)(Mazzitelli et al., Nucl. Fu…
Ion temperature gradient instability at sub-Larmor radius scales with non-zero ballooning angle
Pierluigi Migliano, Yann Camenen, Francis Casson +2
Linear gyro-kinetic stability calculations predict unstable toroidal Ion Temperature Gradient modes with normalised poloidal wave vectors well above one () for standard…
Validation of gyrokinetic modelling of light impurity transport including rotation in ASDEX Upgrade
F. J. Casson, R. M. McDermott, C. Angioni +9
Upgraded spectroscopic hardware and an improved impurity concentration calculation allow accurate determination of boron density in the ASDEX Upgrade tokamak. A database of boron m…
Estimate of convection-diffusion coefficients from modulated perturbative experiments as an inverse problem
F. Sattin, D. F. Escande, Y. Camenen +2
The estimate of coefficients of the Convection-Diffusion Equation (CDE) from experimental measurements belongs in the category of inverse problems, which are known to come with iss…