Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches

Abstract Ionic liquids (ILs) have emerged as suitable options for gas storage applications over the past decade. Consequently, accurate prediction of gas solubility in ILs is crucial for their application in the industry. In this study, four intelligent techniques including Extreme Learning Machine...

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Bibliographic Details
Main Authors: Reza Nakhaei-Kohani, Saeid Atashrouz, Fahimeh Hadavimoghaddam, Ali Bostani, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-17983-6