Machine learning and algebraic approaches towards complete matter spectra in 4d F-theory
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1029-8479
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Machine learning and algebraic approaches towards complete matter spectra in 4d F-theory ; volume:2021 ; number:1 ; day:28 ; month:1 ; year:2021 ; pages:1-71 ; date:1.2021
Journal of high energy physics ; 2021, Heft 1 (28.1.2021), 1-71, 1.2021
- Creator
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Bies, Martin
Cvetič, Mirjam
Donagi, Ron
Lin, Ling
Liu, Muyang
Ruehle, Fabian
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/JHEP01(2021)196
- URN
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urn:nbn:de:101:1-2021032123172719727077
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
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Associated
- Bies, Martin
- Cvetič, Mirjam
- Donagi, Ron
- Lin, Ling
- Liu, Muyang
- Ruehle, Fabian
- SpringerLink (Online service)
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Learning non-Higgsable gauge groups in 4D F-theory
Cohomologies of coherent sheaves and massless spectra in F-theory
Cohomologies of coherent sheaves and massless spectra in F-theory
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Chiral Matter Multiplicities and Resolution-Independent Structure in 4D F-Theory Models
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