Litcius/Paper detail

Machine Learning for Combustion Chemistry

Tarek Echekki, Aamir Farooq, Matthias Ihme, S. Mani Sarathy

2023Lecture notes in energy12 citationsDOIOpen Access PDF

Abstract

Abstract Machine learning provides a set of new tools for the analysis, reduction and acceleration of combustion chemistry. The implementation of such tools is not new. However, with the emerging techniques of deep learning, renewed interest in implementing machine learning is fast growing. In this chapter, we illustrate applications of machine learning in understanding chemistry, learning reaction rates and reaction mechanisms and in accelerating chemistry integration.

Topics & Concepts

CombustionComputer scienceChemistrySet (abstract data type)Artificial intelligenceMachine learningOrganic chemistryProgramming languageAnalytical Chemistry and ChromatographyPhase Equilibria and ThermodynamicsCatalysis and Oxidation Reactions