Open AccessArtificial Neural Network Based Group Contribution Method for Estimating Cetane and Octane Numbers of Hydrocarbons and Oxygenated Organic Compounds
Author(s) -
William L. Kubic,
Rhodri W. Jenkins,
Cameron M. Moore,
Troy A. Semelsberger,
Andrew D. Sutton
Publication year - 2017
Publication title -
industrial and engineering chemistry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.878
H-Index - 221
eISSN - 1520-5045
pISSN - 0888-5885
DOI - 10.1021/acs.iecr.7b02753
Subject(s) - cetane number , octane , group contribution method , artificial neural network , octane rating , group (periodic table) , chemistry , biological system , organic chemistry , biochemical engineering , computer science , combustion , artificial intelligence , engineering , phase equilibrium , catalysis , biodiesel , biology , phase (matter)
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom