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- W4290377947 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. Thus, Machine Learning teaches us that the conjectured classification of 7-brane sets is not complete, which we confirm with explicit examples." @default.
- W4290377947 created "2022-08-07" @default.
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- W4290377947 date "2022-02-11" @default.
- W4290377947 modified "2023-09-29" @default.
- W4290377947 title "Brain Webs for Brane Webs" @default.
- W4290377947 doi "https://doi.org/10.48550/arxiv.2202.05845" @default.
- W4290377947 hasPublicationYear "2022" @default.
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