| Autor: |
Bjarne Kreitz, Patrick Lott, Jongyoon Bae, Katrín Blöndal, Sofia Angeli, Zachary W. Ulissi, Felix Studt, C. Franklin Goldsmith, Olaf Deutschmann |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.26434/chemrxiv-2022-r5wn0-v2 |
| Popis: |
Emissions from vehicles contain a variety of pollutants that must be either oxidized or reduced efficiently in the catalytic converter. Improvements to the catalyst require knowledge of the microkinetics, but the complexity of the exhaust gas mixture makes it challenging to identify the reaction network. This complexity was tackled by using the "Reaction Mechanism Generator" (RMG) to automatically generate microkinetic models for the oxidation of combustion byproducts from stoichiometric gasoline direct injection engines on Pt(111). The possibilities and the limitations encountered during the generation procedure are discussed in detail. A combination of first-principles-based mechanism construction and top-down parameter refinement allows to describe experimental results obtained by kinetic testing of a Pt/Al2O3 monolith under stoichiometric conditions. The study can serve as a blueprint for the usage of RMG for other challenging heterogeneously catalyzed reactions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
