paper

Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds

arXiv:2112.09117

Abstract

Using a fully connected feedforward neural network we study topological invariants of a class of Calabi--Yau manifolds constructed as hypersurfaces in toric varieties associated with reflexive polytopes from the Kreuzer--Skarke database. In particular, we find the existence of a simple expression for the Euler number that can be learned in terms of limited data extracted from the polytope and its dual.

16 pages, 4 figures

Machine Learning Kreuzer--Skarke Calabi--Yau Threefolds · wovepaper