activity
20072026
most citedMagnetic reconnection as a driver for a sub-ion scale cascade in plasma turbulence

138 citations · 2k across the 82 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

physics.plasm-ph2023★ 1 cited

Assessing global ion thermal confinement in critical-gradient-optimized stellarators

A. Bañón Navarro, G. T. Roberg-Clark, G. G. Plunk +4

We investigate the confinement properties of two recently devised quasi-helically symmetric stellarator configurations, HSK and QSTK. Both have been optimized for large critical gr…

physics.comp-ph2023★ 3 cited

Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence

Robin Greif, Frank Jenko, Nils Thuerey

Turbulence in fluids, gases, and plasmas remains an open problem of both practical and fundamental importance. Its irreducible complexity usually cannot be tackled computationally…

physics.plasm-ph2023★ 17 cited

Magnetic flutter effect on validated edge turbulence simulations

Kaiyu Zhang, Wladimir Zholobenko, Andreas Stegmeir +2

Small magnetic fluctuations () are intrinsically present in a magnetic confinement plasma due to turbulent currents. While the perpendicular transport of part…

physics.plasm-ph2023★ 1 cited

Reassessing the impact of megaelectronvolt ions in fusion plasmas via gyrokinetic simulations

Alessandro Di Siena, Gabriele Merlo, Alejandro Banon Navarro +2

Gyrokinetic simulations conducted by Mazzi et al. reveal the suppression of turbulence in fusion plasmas through the destabilization of Toroidal Alfvén Eigenmodes (TAEs) by megaele…

physics.plasm-ph2023★ 1 cited

Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations

Yehor Yudin, David Coster, Udo von Toussaint +1

This work suggests several methods of uncertainty treatment in multiscale modelling and describes their application to a system of coupled turbulent transport simulations of a toka…

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…