Calabi-Yau Links and Machine Learning

2024/01/21 by Edward Hirst, Hirst, Edward
Mathematics · #Algebraic Geometry and Number Theory #FOS: Physical sciences #Geometric and Algebraic Topology #High Energy Physics - Theory (hep-th) #Homotopy and Cohomology in Algebraic Topology

paper · pdf · doi:10.48550/arxiv.2401.11550

openalex publication_date 2024/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Calabi-Yau links are specific S¹-fibrations over Calabi-Yau manifolds, when the link is 7-dimensional they exhibit both Sasakian and G2 structures. In this invited contribution to the DANGER proceedings, previous work exhaustively computing Calabi-Yau links and selected topological properties is summarised. Machine learning of these properties inspires new conjectures about their computation, as well as the respective Gröbner bases.

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