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Brain Webs for Brane Webs

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arxiv 2202.05845 v2 pith:3PQPAXPQ submitted 2022-02-11 hep-th

Guillermo Arias-Tamargo , Yang-Hui He , Elli Heyes , Edward Hirst , Diego Rodriguez-Gomez This is my paper · ORCID
classification hep-th
keywords websbraneclassifyinglearningmachinesetstheoryanalogous
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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. Thus, Machine Learning teaches us that the conjectured classification of 7-brane sets is not complete, which we confirm with explicit examples.

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Cited by 1 Pith paper

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  1. Metaheuristic Generation of Brane Tilings

    hep-th 2024-12 conditional novelty 6.0 of 10

    Simulated annealing over permutation tuples can generate consistent brane tilings, yielding a 26-field example not present in catalogues that stop at 24 fields.

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