Towards Stellarator Geometry Optimisation for Nuclear Fusion

We present a local geometry refinement method and a 2D latent representation that took us to the top of the {ConStellaration} leaderboard on the geometric task in May 2026.

  • Veröffentlicht in:
    ECCV 2026
  • Typ:
    Inproceedings
  • Autoren:
    Weißberg, Tobias; Heep, Moritz; Lähner, Zorah; Bernard, Florian
  • Jahr:
    2026
  • Source:
    http://arxiv.org/abs/2608.28224

Informationen zur Zitierung

Weißberg, Tobias; Heep, Moritz; Lähner, Zorah; Bernard, Florian: Towards Stellarator Geometry Optimisation for Nuclear Fusion, ECCV 2026, 2026, {arXiv}:2608.28224, August, {arXiv}, http://arxiv.org/abs/2608.28224, Weissberg.etal.2026a,

Assoziierte Lamarr-ForscherInnen

laehner - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Zorah Lähner

Principal Investigator Hybrides ML zum Profil
Florian Bernard

Prof. Dr. Florian Bernard

Principal Investigator Hybrides ML zum Profil