Development of an uncertainty quantification predictive chemical reaction model for syngas combustion
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Energy & fuels 31 (2017), S. 2274−2297
- Klassifikation
-
Biowissenschaften, Biologie
- Ereignis
-
Veröffentlichung
- (wo)
-
Stuttgart
- (wer)
-
Universitätsbibliothek der Universität Stuttgart
- (wann)
-
2017
- Urheber
-
Slavinskaya, Nadezda
Abbasi, Mehdi
Starcke, Jan Hendrik
Whitside, Ryan
Mirzayeva, Aziza
Riedel, Uwe
Li, Wenyu
Oreluk, Jim
Hegde, Arun
Packard, Andrew
Frenklach, Michael
Gerasimov, G. Ya.
Shatalov, Oleg
- DOI
-
10.18419/opus-10277
- URN
-
urn:nbn:de:bsz:93-opus-ds-102946
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 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
- Slavinskaya, Nadezda
- Abbasi, Mehdi
- Starcke, Jan Hendrik
- Whitside, Ryan
- Mirzayeva, Aziza
- Riedel, Uwe
- Li, Wenyu
- Oreluk, Jim
- Hegde, Arun
- Packard, Andrew
- Frenklach, Michael
- Gerasimov, G. Ya.
- Shatalov, Oleg
- Universitätsbibliothek der Universität Stuttgart
Entstanden
- 2017
Ähnliche Objekte (12)
Uncertainty quantification and sensitivity analysis of solid fuel combustion
Uncertainty quantification in the simulation of turbulent spray combustion
Enhanced Predictive Analysis for Flight Incident Probability Using Advanced Uncertainty Quantification Methods
Multifaceted uncertainty quantification
Towards reliable transpiration cooling for rocket combustion chambers through novel methods of uncertainty quantification
Combustion kinetic modeling and fuel design based on uncertainty quantification and machine learning methods
Uncertainty Quantification in Reacting Flows
Modeling uncertainty: Predictive accuracy as a proxy for predictive confidence
Uncertainty quantification with advanced simulation methods
Uncertainty Quantification for Modular Co-Simulation
Uncertainty quantification with shallow water equations
Uncertainty quantification for ocean biogeochemical models
Uncertainty quantification and sensitivity analysis of solid fuel combustion
Uncertainty quantification in the simulation of turbulent spray combustion
Enhanced Predictive Analysis for Flight Incident Probability Using Advanced Uncertainty Quantification Methods
Multifaceted uncertainty quantification
Towards reliable transpiration cooling for rocket combustion chambers through novel methods of uncertainty quantification
Combustion kinetic modeling and fuel design based on uncertainty quantification and machine learning methods
Uncertainty Quantification in Reacting Flows
Modeling uncertainty: Predictive accuracy as a proxy for predictive confidence
Uncertainty quantification with advanced simulation methods
Uncertainty Quantification for Modular Co-Simulation
Uncertainty quantification with shallow water equations
Uncertainty quantification for ocean biogeochemical models
Uncertainty quantification and sensitivity analysis of solid fuel combustion
Uncertainty quantification in the simulation of turbulent spray combustion
Enhanced Predictive Analysis for Flight Incident Probability Using Advanced Uncertainty Quantification Methods
Multifaceted uncertainty quantification
Towards reliable transpiration cooling for rocket combustion chambers through novel methods of uncertainty quantification
Combustion kinetic modeling and fuel design based on uncertainty quantification and machine learning methods
Uncertainty Quantification in Reacting Flows
Modeling uncertainty: Predictive accuracy as a proxy for predictive confidence
Uncertainty quantification with advanced simulation methods
Uncertainty Quantification for Modular Co-Simulation
Uncertainty quantification with shallow water equations