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physics.plasm-ph2026

Applications of a novel model-based real-time observer for electron density profile control experiments in TCV

F. Pastore, O. Sauter, F. Felici +12

Real-time control of tokamak plasmas encompasses sustaining a high-performance stationary state, avoiding disruptions, and managing ramp-up and ramp-down phases. Real-time estimati…

physics.plasm-ph2025

Towards fully predictive gyrokinetic full-f simulations: validation and triangularity studies in TCV

A. C. D. Hoffmann, T. N. Bernard, M. Francisquez +6

Designing economical magnetic confinement fusion power plants motivates computational tools that can estimate plasma behavior from engineering parameters without direct reliance on…

physics.plasm-ph2025

Plasma State Monitoring and Disruption Characterization using Multimodal VAEs

Yoeri Poels, Alessandro Pau, Christian Donner +6

When a plasma disrupts in a tokamak, significant heat and electromagnetic loads are deposited onto the surrounding device components. These forces scale with plasma current and mag…

physics.plasm-ph2025

Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods

Yoeri Poels, Cristina Venturini, Alessandro Pau +4

Maximizing fusion performance in tokamaks relies on high energy confinement, often achieved through distinct operating regimes. The automated labeling of these confinement states i…

physics.plasm-ph2025

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV

Allen M. Wang, Alessandro Pau, Cristina Rea +12

The rampdown phase of a tokamak pulse is difficult to simulate and often exacerbates multiple plasma instabilities. To reduce the risk of disrupting operations, we leverage advance…