Prediction of thermo-physical properties of 1-Butyl-3-methylimidazolium hexafluorophosphate for CO2 capture using machine learning models

• Main Authors: Mazari, Shaukat Ali, Siyal, Ahsan Raza, Solangi, Nadeem Hussain, Ahmed, Saleem, Griffin, Gregory, Abro, Rashid, Mubarak, Nabisab Mujawar, Ahmed, Mushtaq, Sabzoi, Nizamuddin
• Format: Article
• Published: Elsevier 2021
• Subjects: QC Physics; QD Chemistry; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/34229/

Physical and thermodynamic properties of physical or chemical solvents are of utmost importance for mass and heat transfer calculations, process design and solvent regeneration. In recent times, machine learning has attracted interest for applications in several fields of engineering sciences. The i...