Brunel University London
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Carbon capture via aqueous ionic liquids intelligent modelling Item

Version 2 2023-10-26, 09:23
Version 1 2023-08-09, 10:43
posted on 2023-08-09, 10:43 authored by Bahamin BazooyarBahamin Bazooyar, Fariborz Shaahmadi, Abolfazl Jomekian, Seyed Sorosh Mirfasihi

This data set includes a library for making intelligent models to predict the solubility of Carbon dioxide when water vapor also exists in the mixture in a variety of ionic liquids. Different ionic liquids are tested and modelled at different operating conditions (temperature, pressure, and concentrations of CO2). The results can help design an effective system for carbon capture.


There is no fund available for this research.