Fundamental Research

Contribution of machine learning to the oxidation stability of hydrocarbons

The oxidation stability of hydrocarbons is a critical property for their use (as aviation fuels, lubricants, etc.), storage and transport. Low stability gives rise to unwanted reactions that can have an adverse effect on the performance of products, reduce their lifespan and, potentially, pose risks in terms of safety. To overcome these limitations, a recent study was conducted by IFP Énergies nouvelles in partnership with Lille University, aimed at developing a reliable predictive tool that would avoid the systematic use of laborious tests.