From First-Principles to Machine Learning: Advancing Bandgap Predictions in Strain-Engineered III-V Semiconductors
- Weitere Titel
-
Von First-Principle zu maschinellem Lernen: Weiterentwicklung der Bandlücken Vorhersage in spannungsabhängigen III-V-Halbleitern
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Marburg, Philipps-Universität Marburg, Dissertation, 2023
- Schlagwort
-
Wide-bandgap Halbleiter
Drei-Fünf-Halbleiter
Gitterbaufehler
- Ereignis
-
Veröffentlichung
- (wo)
-
Marburg
- (wer)
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Philipps-Universität Marburg
- (wann)
-
2023
- Urheber
-
Mondal, Badal
- Beteiligte Personen und Organisationen
- DOI
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10.17192/z2023.0669
- URN
-
urn:nbn:de:hebis:04-z2023-06696
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mondal, Badal
- Tonner-Zech, Ralf
- Philipps-Universität Marburg
Entstanden
- 2023
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