We first introduce various algorithms and techniques for machine learning and data science.
While there is a strong focus on neural network applications in unsupervised, supervised …

A bstract We examine the mechanism of moduli stabilization by fluxes in the limit of a large
number of moduli. We conjecture that one cannot stabilize all complex-structure moduli in F …

A bstract We study possible applications of artificial neural networks to examine the string
landscape. Since the field of application is rather versatile, we propose to dynamically …

A bstract We study the topological properties of Calabi-Yau threefold hypersurfaces at large
h 1, 1. We obtain two million threefolds X by triangulating polytopes from the Kreuzer-Skarke …

The extensive computer-aided search applied in Bena et al.(The tadpole problem, 2020) to
find the minimal charge sourced by the fluxes that stabilize all the (flux-stabilizable) moduli …

Identifying string theory vacua with desired physical properties at low energies requires
searching through high-dimensional solution spaces-collectively referred to as the string …

A bstract We present a novel strategy to systematically study complex-structure moduli
stabilization in Type IIB and F-theory flux compactifications. In particular, we determine …

Calabi–Yau manifolds can be obtained as hypersurfaces in toric varieties built from reflexive
polytopes. We generate reflexive polytopes in various dimensions using a genetic algorithm …

A bstract In this paper, we employ genetic algorithms to explore the landscape of type IIB flux
vacua. We show that genetic algorithms can efficiently scan the landscape for viable …

The precision cosmological model describing the origin and expansion history of the
universe, with observed structure seeded at the inflationary cosmic horizon, demands …