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Brain webs for brane webs

Arias-Tamargo, G., He, Y-H. ORCID: 0000-0002-0787-8380, Heyes, E. , Hirst, E. ORCID: 0000-0003-1699-4399 & Rodriguez-Gomez, D. (2022). Brain webs for brane webs. Physics Letters B, 833, 137376. doi: 10.1016/j.physletb.2022.137376

Abstract

We propose a new technique for classifying 5d Superconformal Field Theories arising from brane webs in Type IIB String Theory, using technology from Machine Learning to identify different webs giving rise to the same theory. We concentrate on webs with three external legs, for which the problem is analogous to that of classifying sets of 7-branes. Training a Siamese Neural Network to determine equivalence between any two brane webs shows an improved performance when webs are considered equivalent under a weaker set of conditions. This therefore suggests that the conjectured classification of 7-brane sets is not complete.

Publication Type: Article
Additional Information: © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Mathematics
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