Learning Feynman integrals from differential equations with neural networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Learning Feynman integrals from differential equations with neural networks ; volume:2024 ; number:7 ; day:12 ; month:7 ; year:2024 ; pages:1-41 ; date:7.2024
Journal of high energy physics ; 2024, Heft 7 (12.7.2024), 1-41, 7.2024

Creator: Calisto, Francesco
Moodie, Ryan
Zoia, Simone

Contributor: SpringerLink (Online service)

DOI: 10.1007/JHEP07(2024)124

URN: urn:nbn:de:101:1-2410020930515.303489333344

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Calisto, Francesco
Moodie, Ryan
Zoia, Simone
SpringerLink (Online service)

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Learning Feynman integrals from differential equations with neural networks

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Other Objects (12)

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Duals of Feynman integrals. Part I. Differential equations

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On epsilon factorized differential equations for elliptic Feynman integrals

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Integration-by-parts identities and differential equations for parametrised Feynman integrals

On symbology and differential equations of Feynman integrals from Schubert analysis

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Algorithms and techniques for finding canonical differential equations of Feynman integrals

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Duals of Feynman integrals. Part I. Differential equations

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On epsilon factorized differential equations for elliptic Feynman integrals

Loop-by-loop differential equations for dual (elliptic) Feynman integrals

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Integration-by-parts identities and differential equations for parametrised Feynman integrals

On symbology and differential equations of Feynman integrals from Schubert analysis

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Solving differential equations for Feynman integrals by expansions near singular points

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Solving differential equations for Feynman integrals by expansions near singular points

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