Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO2 Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches
Pailin Muchan,
Sirinee Kruthasoot,
Tawan Kongton,
Teeradet Supap,
Jessica Narku-Tetteh,
Supranee Lisawadi,
Patchanok Srisuradetchai,
Raphael Idem
Affiliations
Pailin Muchan
Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
Sirinee Kruthasoot
Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand
Tawan Kongton
Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand
Teeradet Supap
Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
Jessica Narku-Tetteh
Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
Supranee Lisawadi
Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand
Patchanok Srisuradetchai
Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Rangsit Centre, Khlong Luang, Pathum Thani, Thailand
Raphael Idem
Clean Energy Technologies Research Institute (CETRI), Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
