From the 1 of 5 linked papers with an AI index.
5 papers
Divertor topology and vacuum vessel design for stellarators
Andrew Giuliani, Raffael Wendlinger, Misha Padidar +4
The paper introduces algorithms for jointly optimizing stellarator edge magnetic structures and vacuum vessel shapes, enabling various divertor configurations—including precise sno…
STAR_Lite: A stellarator designed to experimentally validate non-resonant divertors
Georg Friedrich Harrer, Andrew Giuliani, Misha Padidar +3
The non-resonant divertor (NRD) offers a promising exhaust solution for stellarators, combining topological simplicity with resilience to magnetic field perturbations. To experimen…
Combination of quasi-isodynamic and piecewise omnigenous magnetic fields
J. L. Velasco, I. Calvo, V. Fernández-Pacheco +5
Due to their simultaneous optimization for radial and parallel neoclassical transport, quasi-isodynamic fields have been the main choice of stellarator magnetic configuration for m…
Diffusion for Fusion: Designing Stellarators with Generative AI
Misha Padidar, Teresa Huang, Andrew Giuliani +1
Stellarators are a prospective class of fusion-based power plants that confine a hot plasma with three-dimensional magnetic fields. Typically framed as a PDE-constrained optimizati…
Direct Optimization of Fast-Ion Confinement in Stellarators
David Bindel, Matt Landreman, Misha Padidar
Confining energetic ions such as alpha particles is a prime concern in the design of stellarators. However, directly measuring alpha confinement through numerical simulation of gui…