Machine Learning for Combustion Chemistry
Tarek Echekki, Aamir Farooq, Matthias Ihme, S. Mani Sarathy
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