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Machine learning regression based group contribution method for cetane and octane numbers prediction of pure fuel compounds and mixtures

Runzhao Li, J.M. Herreros, A. Tsolakis, Wenzhao Yang

2020Fuel68 citationsDOIOpen Access PDF

Topics & Concepts

Cetane numberIgnition systemOctaneChemistryOctane ratingGroup contribution methodMatrix (chemical analysis)Computer scienceOrganic chemistryCombustionThermodynamicsChromatographyBiodieselPhase equilibriumCatalysisPhysicsPhase (matter)Advanced Combustion Engine TechnologiesChemical Thermodynamics and Molecular StructureHeat transfer and supercritical fluids
Machine learning regression based group contribution method for cetane and octane numbers prediction of pure fuel compounds and mixtures | Litcius