Machine learning in the string landscape

Machine learning in the string landscape

Abstract We utilize machine learning to study the string landscape. Deep data dives and conjecture generation are proposed as useful frameworks for utilizing machine learning in the landscape, and examples of each are presented. A decision tree accurately predicts the number of weak Fano toric three...

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Bibliographic Details
Main Authors: Jonathan Carifio, James Halverson, Dmitri Krioukov, Brent D. Nelson
Format: Article
Language:English
Published: SpringerOpen 2017-09-01
Series:Journal of High Energy Physics
Subjects:
D-branes
F-Theory
Superstring Vacua
Online Access:http://link.springer.com/article/10.1007/JHEP09(2017)157

Internet

http://link.springer.com/article/10.1007/JHEP09(2017)157

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