- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Supervised Machine Learning‐Based Classification of Li−S Battery Electrolytes ; day:04 ; month:05 ; year:2021 ; extent:1
Batteries & supercaps ; (04.05.2021) (gesamt 1)
- Creator
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Jeschke, Steffen
Johansson, Patrik
- DOI
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10.1002/batt.202100031
- URN
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urn:nbn:de:101:1-2021050515022873431706
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jeschke, Steffen
- Johansson, Patrik
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New methods for toxicological investigations on commercial battery electrolytes
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Cyano-substituted anions for lithium battery electrolytes
Better battery electrolytes by optimizing ion transport
Radical decomposition of ether-based electrolytes for Li-S batteries
Solvation-property relationship of lithium-sulphur battery electrolytes
Saccharinate‐Based Ionic Liquids and Lithium Battery Electrolytes
Prospects for Improved Magnesocene‐Based Magnesium Battery Electrolytes
Wetting behavior of aprotic Li-air battery electrolytes
A Zinc–Bromine Battery with Deep Eutectic Electrolytes
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