Swift Prediction of Battery Performance : Applying Machine Learning Models on Microstructural Electrode Images for Lithium-Ion Batteries
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Batteries 10, 3, 99
- Ereignis
-
Veröffentlichung
- (wo)
-
Aalen
- (wer)
-
Hochschule Aalen
- (wann)
-
2024
- Urheber
-
Deeg, Patrick
Weisenberger, Christian
Oehm, Jonas
Schmidt, Denny
Csiszar, Orsolya
Knoblauch, Volker
- DOI
-
10.3390/batteries10030099
- URN
-
urn:nbn:de:bsz:944-opus4-32651
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Deeg, Patrick
- Weisenberger, Christian
- Oehm, Jonas
- Schmidt, Denny
- Csiszar, Orsolya
- Knoblauch, Volker
- Hochschule Aalen
Entstanden
- 2024
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