2 papers
physics.plasm-ph2026
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…
physics.plasm-ph2025
Validation of a Comprehensive First-Principles-Based Framework for Predicting the Performance of Future Stellarators
D. L. C. Agapito Fernando, A. Bañón Navarro, D. Carralero +20
This paper presents the validation of the framework for recovering both the steady-state plasma profiles in the considered radial domain and selected t…