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