2024
DOI: 10.1177/00037028241233309
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Machine Learning-Assisted Determination of C6H14 Mole Fraction From Molecular Emissions of Laser-Induced Hexane–Air Plasmas

Ashwin P. Rao,
Noshin Nawar,
Christopher J. Annesley

Abstract: Laser-induced plasmas of materials containing hydrocarbons present strong carbon molecular emission features. Using these emissions to build models relating changes in spectral features to a physical parameter of the system, such as hydrocarbon content, can be difficult because of the dynamic complexity of the spectral features and temperature disequilibrium between molecular species. This study presents machine learning models trained to quantify the mole fraction of hexane in hexane–air plasmas from CN Viole… Show more

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