Multiple machine learning models for prediction of CO2 solubility in potassium and sodium based amino acid salt solutions

In this work, we developed artificial intelligence-based models for prediction and correlation of CO2 solubility in amino acid solutions for the purpose of CO2 capture. The models were used to correlate the process parameters to the CO2 loading in the solvent. Indeed, CO2 loading/-solubility in the...

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Bibliographic Details
Main Authors: Guanwei Yin, Fouad Jameel Ibrahim Alazzawi, Dmitry Bokov, Haydar Abdulameer Marhoon, A.S. El-Shafay, Md Lutfor Rahman, Su, Chia-Hung, Lu, Yi-Ze, Hoang, Chinh Nguyen
Format: Article
Language:English
English
Published: Elsevier Science 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/32941/1/Multiple%20machine%20learning%20models%20for%20prediction%20of%20CO2%20solubility%20in%20potassium%20and%20sodium%20based%20amino%20acid%20salt%20solutions.pdf
https://eprints.ums.edu.my/id/eprint/32941/2/Multiple%20machine%20learning%20models%20for%20prediction%20of%20CO2%20solubility%20in%20potassium%20and%20sodium%20based%20amino%20acid%20salt%20solutions1.pdf
https://eprints.ums.edu.my/id/eprint/32941/
https://www.sciencedirect.com/science/article/pii/S1878535221006237
https://doi.org/10.1016/j.arabjc.2021.103608
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