Semi-supervised machine learning approach for reaction stoichiometry and kinetic model identification using spectral data from flow reactors

DOI Link
https://doi.org/10.1039/D3RE00334E
Authors
Manokaran Veeramani , Sreeja Shanmuga Doss , Sridharakumar Narasimhan , Nirav Bhatt
Published In
Reaction Chemistry & Engineering, vol. 9, no. 2, p. 355-368
Tags
Reaction Kinetics

The semi-supervised machine learning approach is an integrated calibration-free modelling framework for identifying reaction systems from spectral data using minimal prior information and it is validated with experimental data obtained in a micro-reactor.