From the 1 of 4 linked papers with an AI index.
4 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…
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…
A comprehensive exploration of quasisymmetric stellarators and their coil sets
Andrew Giuliani, Eduardo RodrÃguez, Marina Spivak
We augment the `QUAsi-symmetric Stellarator Repository' (QUASR) to include vacuum field stellarators with quasihelical symmetry using a globalized optimization workflow. The databa…