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Machine learning regression based group contribution method for cetane and octane numbers prediction of pure fuel compounds and mixtures (2020)

First Author: Li R

Attributed to: FACE - Novel Integrated Fuel Reformer-Aftertreatment System for Clean and Efficient Road Vehicles funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.fuel.2020.118589

Publication URI: http://dx.doi.org/10.1016/j.fuel.2020.118589

Type: Journal Article/Review

Parent Publication: Fuel