31 citations · 60 across the 21 of their papers we have counts for
23 papers
Turbulent Origin of the Edge Radial Electric Field Asymmetry between Favourable and Unfavourable Drift Configurations
B. J. Frei, R. Bilato, W. Zholobenko +9
We study the influence of the ion magnetic-drift direction relative to the active X-point (favourable and unfavourable configurations) on edge turbulence, transport, and the radial…
High-Performance Resilient Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations at Scale
Jeremy J. Williams, Stefan Costea, David Tskhakaya +13
The increasing demand for high-performance computing in plasma physics has driven scalable and resilient simulation methods capable of efficiently exploiting modern multi-GPU archi…
Pre L-H Transition Radial Electric Field and Transport Validations of Edge and Scrape-off Layer Gyrokinetic Simulations at ASDEX Upgrade
B. J. Frei, C. Angioni, G. Lo-Cascio +5
This work presents a stepwise validation of the evolution of the radial electric field (Er) and heat transport during the pre L-H transition phase using full-f gyrokinetic simulati…
First-Principles Explanation of the Drift Configuration Dependence of the Radial Electric Field and High-Confinement Access in Tokamaks
B. J. Frei, R. Bilato, O. Grover +6
The origin of the difference in the high-confinement (H-mode) power threshold between favorable and unfavorable drift configurations in tokamaks, experimentally linked to a deeper…
How Fusion-Born Alpha Particles Suppress Microturbulence in Burning Plasmas
Alessandro Di Siena, Alejandro Banon Navarro, Pablo Rodriguez-Fernandez +13
A central unresolved question in fusion energy research is whether energetic alpha particles, the primary products of deuterium-tritium fusion reactions, enhance or degrade plasma…
Post-Moore Technologies for Plasma Simulation: A Community Roadmap
Luca Pennati, Erik M. Åsgrim, Jeremy J. Williams +21
Plasma simulations are among the most computationally demanding scientific workloads, combining high-dimensional kinetic evolution, particle-mesh coupling, field solves, and data-i…
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…
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems
Jeremy J. Williams, Jordy Trilaksono, Stefan Costea +13
Particle-in-Cell (PIC) Monte Carlo (MC) simulations are central to plasma physics but face increasing challenges on heterogeneous HPC systems due to excessive data movement, synchr…
Turbulent Nature of the Quasicontinuous Exhaust Regime for Fusion Plasmas
Kaiyu Zhang, Wladimir Zholobenko, Andreas Stegmeir +5
We demonstrate a turbulence mechanism that reconciles high plasma confinement with efficient heat exhaust -- a central challenge for fusion energy. Global two-fluid turbulence simu…
Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale
Jeremy J. Williams, Stefan Costea, Daniel Medeiros +11
Efficient simulation of complex plasma dynamics is crucial for advancing fusion energy research. Particle-in-Cell (PIC) Monte Carlo (MC) simulations provide insights into plasma be…
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…
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…
The impact of plasma turbulence on atomic reaction rates in the detached ASDEX Upgrade divertor
Konrad Eder, Wladimir Zholobenko, Andreas Stegmeir +2
Numerical modeling of the edge and scrape-off layer (SOL) must account for atomic processes such as hydrogenic ionization and recombination, charge-exchange, and line radiation. Th…
On the mechanism of Pedestal Relaxation Events -- Insights gained by turbulence simulations with GRILLIX
Christoph Pitzal, Andreas Stegmeir, Tim Happel +7
Pedestal Relaxation Events (PREs) appear in I-mode discharges close to the I-H transition. Although they show certain similarities with Edge Localised Modes (ELMs), i.e. periodic e…
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…
Turbulence and Transport in Spectrally Accelerated full-f Gyrokinetic Simulations
B. J. Frei, P. Ulbl, C. Pitzal +2
We investigate edge and scrape-off layer (SOL) turbulence and transport using the spectrally accelerated full-f gyrokinetic (GK) code GENE-X, recently introduced in [B. J. Frei et…
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…
Quasilinear gyrokinetic theory: A derivation of QuaLiKiz
Cole Darin Stephens, Xavier Garbet, Jonathan Citrin +3
In order to predict and analyze turbulent transport in tokamaks, it is important to model transport that arises from microinstabilities. For this task, quasilinear codes have been…
Global gyrokinetic simulations of ITG turbulence in the configuration space of the Wendelstein 7-X stellarator
A. Bañón Navarro, G. Merlo, G. G. Plunk +7
We study the effect of turbulent transport in different magnetic configurations of the Weldenstein 7-X stellarator. In particular, we performed direct numerical simulations with th…