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Machine Learning Sasakian and G2 Topology on Contact Calabi-Yau 7-manifolds

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BLHW01 - Number theory, machine learning and quantum black holes

Calabi-Yau links provide a real 7-dimensional extension of complex Calabi-Yau 3-folds, with natural Sasakian and G2-structures. In this work a large database of Calabi-Yau links are constructed, and relevant topological invariants computed. Analysis of the invariant distributions suggest new conjectures about Calabi-Yau links, motivating investigation with machine learning techniques to predict these invariants, uncovering new mathematical structure bypassing expensive Groebner basis computations.

This talk is part of the Isaac Newton Institute Seminar Series series.

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