Models for prediction of RON, MON, and octane sensitivity

Published: 27 May 2020| Version 2 | DOI: 10.17632/gzh2z38pyh.2
Contributor:
Florian vom Lehn

Description

Models as described in the manuscript "Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity" (Preprint submitted to Fuel).

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Categories

Machine Learning, Combustion, Engine

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