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20232026
most cited5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence

1 citations · 1 across the 10 of their papers we have counts for

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physics.plasm-ph2026

A Shortcut to Statistically Steady-State Turbulence with Flow Matching

Gianluca Galletti, Gerald Gutenbrunner, William Hornsby +5

Many nonlinear physical systems exhibit an initial transient phase in which perturbations grow before nonlinear interactions lead to a statistically steady state. While this satura…

physics.plasm-ph2026

gyaradax: Local Gyrokinetics JAX Code

Gianluca Galletti, Eric Volkmann, Johannes Brandstetter

Gyrokinetic simulations are essential for understanding and controlling turbulence in fusion plasmas, yet they are oftentimes implemented in legacy codebases, in many cases CPU-bou…

physics.plasm-ph2026

Physics-Informed Neural Compression of High-Dimensional Plasma Data

Gianluca Galletti, Gerald Gutenbrunner, Sandeep S. Cranganore +6

High-fidelity scientific simulations are now producing unprecedented amounts of data, creating a storage and analysis bottleneck. A single simulation can generate tremendous data v…

physics.plasm-ph2025

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

Fabian Paischer, Gianluca Galletti, William Hornsby +5

Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is understanding plasma turbulence, which…

physics.plasm-ph20251 cited

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence

Gianluca Galletti, Fabian Paischer, Paul Setinek +5

Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to achieving commercially viable fusion power is understanding pl…

physics.plasm-ph2025

Neural operator surrogate models of plasma edge simulations: feasibility and data efficiency

N. Carey, L. Zanisi, S. Pamela +7

The inclusion of high-fidelity simulations of SOL turbulence and transient MHD events such as ELMs in highly iterative applications remains computationally prohibitive, limiting th…