activity
20242026
most citedNeural-Parareal: Dynamically Training Neural Operators as Coarse Solvers for Time-Parallelisation of Fusion MHD Simulations

6 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

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

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-ph2025★ 1 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…

physics.plasm-ph2024★ 6 cited

Neural-Parareal: Dynamically Training Neural Operators as Coarse Solvers for Time-Parallelisation of Fusion MHD Simulations

S. J. P. Pamela, N. Carey, J. Brandstetter +10

The fusion research facility ITER is currently being assembled to demonstrate that fusion can be used for industrial energy production, while several other programmes across the wo…

physics.plasm-ph2024

Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes

N. Carey, L. Zanisi, S. Pamela +4

Simulation-based plasma scenario development, optimization and control are crucial elements towards the successful deployment of next-generation experimental tokamaks and Fusion po…