We review applications of string theory to cosmology, from primordial times to the present-
day accelerated expansion. Starting with a brief overview of cosmology and string …

Amid all candidates of physics beyond the Standard Model, string theory provides a unique
proposal for incorporating gauge and gravitational interactions. In string theory, a four …

A bstract Dark Yang-Mills sectors, which are ubiquitous in the string landscape, may be
reheated above their critical temperature and subsequently go through a confining first-order …

We apply machine learning to the problem of finding numerical Calabi–Yau metrics.
Building on Donaldson's algorithm for calculating balanced metrics on Kähler manifolds, we …

A bstract It has recently been demonstrated that Feynman integrals relevant to a wide range
of perturbative quantum field theories involve periods of Calabi-Yau manifolds of arbitrarily …

We propose a paradigm to deep-learn the ever-expanding databases which have emerged
in mathematical physics and particle phenomenology, as diverse as the statistics of string …

A bstract In this work we systematically enumerate genus one fibrations in the class of 7, 890
Calabi-Yau manifolds defined as complete intersections in products of projective spaces, the …

Can artificial intelligence learn mathematics? The question is at the heart of this original
monograph bringing together theoretical physics, modern geometry, and data science. The …

The latest techniques from Neural Networks and Support Vector Machines (SVM) are used
to investigate geometric properties of Complete Intersection Calabi–Yau (CICY) threefolds, a …

We propose a paradigm to apply machine learning various databases which have emerged
in the study of the string landscape. In particular, we establish neural networks as both …