1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
Assessing global ion thermal confinement in critical-gradient-optimized stellarators
A. Bañón Navarro, G. T. Roberg-Clark, G. G. Plunk +4
We investigate the confinement properties of two recently devised quasi-helically symmetric stellarator configurations, HSK and QSTK. Both have been optimized for large critical gr…