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Aspen Open Jets: unlocking LHC data for foundation models in particle physics

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In
Machine learning: science and technology 6(3), Seiten/Artikel-Nr.:030601

ImpressumBristol : IOP Publishing

Umfang[1]-13

ISSN2632-2153

Online
DOI: 10.1088/2632-2153/ade58f

DOI: 10.18154/RWTH-2026-06864
URL: https://publications.rwth-aachen.de/record/1038964/files/1038964.pdf

Einrichtungen

  1. Institut für Theoretische Teilchenphysik und Kosmologie (136100)
  2. Fachgruppe Physik (130000)


Thematische Einordnung (Klassifikation)
DDC: 621.3

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105009907112
WOS Core Collection: WOS:001523828600001
OpenAlex: W4411363215

Interne Identnummern
RWTH-2026-06864
Datensatz-ID: 1038964

Beteiligte Länder
Germany, Italy, USA

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Physics
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136100
130000
 Record created 2026-07-20, last modified 2026-09-14
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