Solubility and Miscibility of Organic Semiconductors for Efficient and Stable Organic Solar Cells Investigated via Machine Learning and Quantum Chemistry Methods
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Dissertation, 2019
- Keyword
-
Solubility
Solar cells
Machine learning
Organic semiconductors
Quantum chemistry
- Event
-
Veröffentlichung
- (where)
-
Erlangen
- (who)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (when)
-
2019
- Creator
- Contributor
-
Cabanillas, Salvador León
Brabec, Christoph J.
- URN
-
urn:nbn:de:bvb:29-opus4-107848
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
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Associated
- Perea Ospina, Jose Dario
- Cabanillas, Salvador León
- Brabec, Christoph J.
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Time of origin
- 2019
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