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Papers matching “motor octane number” 6

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Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity
2020 Fuel article Chemical Engineering Advanced Combustion Engine Technologies

Florian vom Lehn, Benedict Brosius, Rafal Broda, Liming Cai, Heinz G. Pitsch

60

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 Energy & Fuels article Materials Science Machine Learning in Materials Science

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

142

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

1

citations
THIP: A new TPRF-like fuel surrogate development approach to better match real fuel properties
2020 Fuel article Chemical Engineering Advanced Combustion Engine Technologies

Sandro Gaïl, Roger Cracknell, Benoit Poulet, Guy Lovett, Varun Shankar, René Daniel Büttgen, +1 more

12

citations
A property database of fuel compounds with emphasis on spark-ignition engine applications
2020 Applications in Energy and Combustion Science article Chemical Engineering Advanced Combustion Engine Technologies Open access

Florian vom Lehn, Liming Cai, Rupali Tripathi, Rafal Broda, Heinz G. Pitsch

48

citations
Development and application of a reduced chemical kinetic mechanism for e-gasoline surrogate fuel in engine combustion modelling
2025 Energy Conversion and Management article Chemical Engineering Advanced Combustion Engine Technologies Open access

Massimo Duchi, Giuseppe Sammito, Marcus Fischer, Nicolò Cavina

2

citations

6 results