Calabi-Yau Links and Machine Learning

Abstract

Calabi-Yau links are specific $S^1$-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.

Invited contribution to IJDSMS as part of the DANGER proceedings; 8 pages; 4 figures