Molecular design of fuels for maximum spark-ignition engine efficiency by combining predictive thermodynamics and machine learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1021/acs.energyfuels.2c03296
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2023
- Creator
-
Fleitmann, Lorenz Heinrich Johannes
Ackermann, Philipp
Schilling, Johannes
Kleinekorte, Johanna
Rittig, Jan Gerald
vom Lehn, Florian Alexander
Schweidtmann, Artur M.
Pitsch, Heinz Günter
Leonhard, Kai
Mitsos, Alexander
Bardow, André
Dahmen, Manuel
- DOI
-
10.18154/RWTH-2023-02242
- URN
-
urn:nbn:de:101:1-2023030900363300004459
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:54 PM CET
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
- Fleitmann, Lorenz Heinrich Johannes
- Ackermann, Philipp
- Schilling, Johannes
- Kleinekorte, Johanna
- Rittig, Jan Gerald
- vom Lehn, Florian Alexander
- Schweidtmann, Artur M.
- Pitsch, Heinz Günter
- Leonhard, Kai
- Mitsos, Alexander
- Bardow, André
- Dahmen, Manuel
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2023
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Modeling and scale-resolving simulations of knocking combustion initiation in a spark ignition engine
Numerical study on hydrogen and iso-octane early flame kernel development in spark ignition engines
The transition to sustainable combustion : Hydrogen- and carbon-based future fuels and methods for dealing with their challenges
Optimized chemical mechanism for combustion of gasoline surrogate fuels
A property database of fuel compounds with emphasis on spark-ignition engine applications
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Large eddy simulation of soot formation in compression ignition engines
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