ANFIS modeling for prediction of CO2 solubility in potassium and sodium based amino acid Salt solutions

Author:

Soroush Ebrahim,Mesbah Mohammad,Hajilary Nasibeh,Rezakazemi MashallahORCID

Publisher

Elsevier BV

Subject

Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)

Reference42 articles.

1. Evaluation of socio-economic factors on CO2 emissions in Iran: factorial design and multivariable methods;Hajilary;J. Clean. Prod.,2018

2. Mathematical modeling and numerical simulation of CO2 removal by using hollow fiber membrane contactors;Mesbah;Iran. J. Oil Gas Sci. Technol.,2017

3. Theoretical study of CO2 separation from CO2/CH4 gaseous mixture using 2-methylpiperazine-promoted potassium carbonate through hollow fiber membrane contactor;Mesbah;J. Environ. Chem. Eng.,2019

4. Accurate prediction of miscibility of CO 2 and supercritical CO2 in ionic liquids using machine learning;Mesbah;J. CO2 Util.,2018

5. M. Mesbah, E. Soroush, M. Rezakazemi, Modeling Dissociation Pressure of Semi-Clathrate Hydrate Systems Containing CO2, CH4, N2, and H2S in the Presence of Tetra-n-butyl Ammonium Bromide, Journal of Non-Equilibrium Thermodynamics.

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