Intelligent Explorations of the String Theory Landscape

04/17/2022
by   Andrei Constantin, et al.
0

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 E_8× E_8 heterotic string compactified on smooth Calabi-Yau threefolds and discuss several areas in which machine learning is expected to make a difference.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/05/2023

Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing

The string theory landscape may include a multitude of ultraviolet embed...
research
06/02/2021

Counting Lyndon Subsequences

Counting substrings/subsequences that preserve some property (e.g., pali...
research
02/12/2022

From the String Landscape to the Mathematical Landscape: a Machine-Learning Outlook

We review the recent programme of using machine-learning to explore the ...
research
07/03/2023

Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Effective String Theory (EST) represents a powerful non-perturbative app...
research
12/15/2021

Breeding realistic D-brane models

Intersecting branes provide a useful mechanism to construct particle phy...
research
11/16/2022

Characterizing 4-string contact interaction using machine learning

The geometry of 4-string contact interaction of closed string field theo...
research
06/15/2018

Enhanced string factoring from alphabet orderings

In this note we consider the concept of alphabet ordering in the context...

Please sign up or login with your details

Forgot password? Click here to reset