Tailoring Complexity for Catalyst Discovery Using Physically Motivated Machine Learning
- Alternative title
-
Entdeckung neuartiger Katalysatormaterialien durch physikalisch motiviertes maschinelles Lernen maßgeschneideter Komplexität
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2022
- Keyword
-
Heterogene Katalyse
Katalyse
Computational chemistry
Katalysator
Dichtefunktionalformalismus
Reaktionskinetik
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2022
- Creator
-
Xu, Wenbin
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20221125-1689045-1-4
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 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
- Xu, Wenbin
- Reuter, Karsten Ulrich
- Hofmann, Oliver T.
- Heiz, Ulrich K.
- Universitätsbibliothek der TU München
Time of origin
- 2022
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