Combustion kinetic modeling and fuel design based on uncertainty quantification and machine learning methods
- Weitere Titel
-
Modellierung der Reaktionskinetik und Kraftstoffdesign mittels Methoden der Unsicherheitsquantifizierung und des maschinellen Lernens
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2022
- Schlagwort
-
Verbrennung
Sensitivitätsanalyse
Reaktionskinetik
Mathematisches Modell
Kraftstoff
Biokraftstoff
Numerisches Modell
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2022
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2022-05057
- URN
-
urn:nbn:de:101:1-2022090911140509866230
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:51 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- vom Lehn, Florian Alexander
- Pitsch, Heinz Günter
- Mani Sarathy, S.
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2022
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