What is GENE-X ?

GENE-X is a global, full-f, continuum (or grid-based/Eulerian) gyrokinetic code designed to simulate plasma turbulence that governs cross-field transport in magnetic confinement fusion devices like tokamaks and stellarators. By utilizing a flux-coordinate-independent approach for the spatial discretization, the code captures both core and edge physics, modeling the transition of plasma profiles across the magnetic separatrix and into the scrape-off layer (SOL).

Key Features

Plasma Microturbulence Simulation
High-degree geometric flexibility, enabling simulations across the entire fusion device, from the core to the wall, for both tokamak and stellarators.
First-Principles Modeling
High-fidelity gyrokinetic simulations provide accurate predictions and deepen our understanding of plasma turbulence.
Validation Driven
Simulations are thoroughly validated against experimental data to guarantee accuracy and reliability.
High-Performance Computing
Designed for high-performance computing, with optimized Fortran CPU backend and C++ GPU acceleration.
Modern Software Engineering
Features a robust development framework, including version control, automated testing, and continuous integration and deployment.
Open Source & User-Friendly
Free and open-source, easy to use and well documented, collaborative development, and a community-driven approach.

Why Simulate Plasma Turbulence?

Predicting turbulent transport is a central challenge in fusion research, as microturbulence is the primary mechanism for anomalous heat and particle loss, directly limiting the fusion triple product and overall energy gain.

GENE-X provides a robust framework for simulating these non-linear dynamics and the resulting heat exhaust, characterizing how turbulent fluctuations drive flux across magnetic field lines toward the reactor walls. By resolving the self-consistent evolution of plasma density and temperature profiles from the core through the scrape-off layer, the code enables high-fidelity predictions of device performance and informs the optimization of magnetic configurations for future fusion power plants.

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