4 papers
Machine Learning for Electron-Scale Turbulence Modeling in W7-X
Ionut-Gabriel Farcas, Don Lawrence Carl Agapito Fernando, Alejandro Banon Navarro +2
Constructing reduced models for turbulent transport is essential for accelerating profile predictions and enabling many-query tasks such as parameter exploration and design optimiz…
iGENE: A Differentiable Flux-Tube Gyrokinetic Code in TensorFlow
Victor Artigues, Gabriele Merlo, Frank Jenko
We present iGENE, a fully-differentiable TensorFlow implementation of the electromagnetic local nonlinear gyrokinetic model, which allows us to compute gradients of any simulation…
First global gyrokinetic profile predictions of ITER burning plasma
A. Di Siena, C. Bourdelle, A. Bañón Navarro +11
In this work, we present the first global gyrokinetic simulations of the ITER baseline scenario operating at 15 MA using GENE-Tango electrostatic and electromagnetic simulations. T…
Multiscale turbulence in stellarators
G. Merlo, A. Bañón Navarro, T. Görler +2
We present the first gyrokinetic simulations of multiscale turbulence in a stellarator, using the magnetic geometry of Wendelstein 7-X (W7-X) and experimentally relevant parameters…