Machine-Learning Enhanced Studies of Quantum Many-Body Systems using Experimental and Numerical Data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Hamburg, Universität Hamburg, Dissertation, 2024
- Schlagwort
-
Maschinelles Lernen
Neuronales Netz
Deep Learning
Unüberwachtes Lernen
Maschinelles Lernen
Optisches Gitter
Ultrakaltes Atom
Quantengas
Unüberwachtes Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Hamburg
- (wer)
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Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
- (wann)
-
2024
- Urheber
-
Käming, Niklas
- Beteiligte Personen und Organisationen
-
Sengstock, Klaus
- URN
-
urn:nbn:de:gbv:18-ediss-115790
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Käming, Niklas
- Sengstock, Klaus
- Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
Entstanden
- 2024
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