31 citations · 60 across the 21 of their papers we have counts for
5 papers · 1 filter
On the proper treatment of magnetic fluctuations in full- field-aligned turbulence codes
Kaiyu Zhang, Wladimir Zholobenko, Andreas Stegmeir +2
Plasma turbulence in the edge of magnetic confinement devices is customarily treated as full- due to large fluctuations. For computational efficiency, field-aligned coordinates…
Assessing the Impact of Alpha Particles on Thermal Confinement in JET D-T Plasmas through Global GENE-Tango Simulations
A. Di Siena, J. Garcia, R. Bilato +14
The capability of the global, electromagnetic gyrokinetic GENE code interfaced with the transport Tango solver is exploited to address the impact of fusion alpha particles (in thei…
Advanced surrogate model for electron-scale turbulence in tokamak pedestals
Ionut-Gabriel Farcas, Gabriele Merlo, Frank Jenko
We derive an advanced surrogate model for predicting turbulent transport at the edge of tokamaks driven by electron temperature gradient (ETG) modes.Our derivation is based on a re…
Accelerating Particle-in-Cell Monte Carlo Simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming
Jeremy J. Williams, Felix Liu, Jordy Trilaksono +11
As fusion energy devices advance, plasma simulations are crucial for reactor design. Our work extends BIT1 hybrid parallelization by integrating MPI with OpenMP and OpenACC, focusi…
Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations
Constantin Gahr, Ionut-Gabriel Farcas, Frank Jenko
This paper investigates non-intrusive Scientific Machine Learning (SciML) Reduced-Order Models (ROMs) for plasma turbulence simulations. In particular, we focus on Operator Inferen…