- Weitere Titel
-
Molekulares Machine Learning für komplexe elektronische Eigenschaften
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2023
- Schlagwort
-
Dichtefunktionalformalismus
Molekulardesign
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2023
- Urheber
-
Chen, Ke
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20230919-1717226-1-9
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:49 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Chen, Ke
- Reuter, Karsten Ulrich
- Gagliardi, Alessio
- Universitätsbibliothek der TU München
Entstanden
- 2023
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