Intelligent Explorations of the String Theory Landscape

Andrei Constantin

doi:10.1142/9781800613706_0004

Intelligent Explorations of the String Theory Landscape

Andrei Constantin^*

^*Corresponding author for this work

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The goal of identifying the Standard Model of particle physics and its extensions within string theory has been one of the principal driving forces in string phenomenology. Recently, the incorporation of artificial intelligence in string theory and certain theoretical advancements have brought to light unexpected solutions to mathematical hurdles that have so far hindered progress in this direction. In this review, we focus on model-building efforts in the context of the E₈ × E₈ heterotic string compactified on smooth Calabi-Yau threefolds and discuss several areas in which machine learning is expected to make a difference.

Original language	English
Title of host publication	Machine Learning in Pure Mathematics and Theoretical Physics
Editors	Yang-Hui He
Publisher	World Scientific
Chapter	4
Pages	105-149
Number of pages	45
ISBN (Electronic)	9781800613706, 9781800613713
ISBN (Print)	9781800613690
DOIs	https://doi.org/10.1142/9781800613706_0004
Publication status	Published - Jul 2023

Bibliographical note

Publisher Copyright:
© 2023 by World Scientific Publishing Europe Ltd.

ASJC Scopus subject areas

General Mathematics
General Physics and Astronomy

Access to Document

10.1142/9781800613706_0004Licence: None: All rights reserved

Cite this

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Intelligent Explorations of the String Theory Landscape

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this