114 citations · 499 across the 15 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
physics.plasm-ph2023★ 2 cited
Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles
L. Zanisi, A. Ho, T. Madula +7
Model-based plasma scenario development lies at the heart of the design and operation of future fusion powerplants. Including turbulent transport in integrated models is essential…
physics.plasm-ph2023★ 16 cited
Fast transport simulations with higher-fidelity surrogate models for ITER
J. Citrin, P. Trochim, T. Goerler +3
A fast and accurate turbulence transport model based on quasilinear gyrokinetics is developed. The model consists of a set of neural networks trained on a bespoke quasilinear GENE…
physics.plasm-ph2023
How accurate are flux-tube (local) gyrokinetic codes in modeling energetic particle effects on core turbulence?
A. Di Siena, T. Hayward-Schneider, P. Mantica +8
Flux-tube gyrokinetic codes are widely used to simulate drift-wave turbulence in magnetic confinement devices. While a large number of studies show that flux-tube codes provide an…