@inproceedings{scholars19170,
           title = {Predicting the Hydrogen Storage Potential of Ionic Liquids Using the DataAnalytics Techniques},
         journal = {Society of Petroleum Engineers - SPE Nigeria Annual International Conference and Exhibition, NAIC 2023},
            note = {cited By 0; Conference of 2023 SPE Nigeria Annual International Conference and Exhibition, NAIC 2023 ; Conference Date: 31 July 2023 Through 2 August 2023; Conference Code:191125},
             doi = {10.2118/217176-MS},
            year = {2023},
          author = {Sulaimon, A. A. and Azman, L. A. and Zohair, S. A. Q. and Adeyemi, B. J. and Shariff, A. B. and Yahya, W. Z. N.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168155676&doi=10.2118\%2f217176-MS&partnerID=40&md5=f50e4a99fc1b7464807c86a93f1c10fc},
        keywords = {Computer software; Data Analytics; Digital storage; Forecasting; Fossil fuels; Hydrogen storage; Solubility; Thermodynamic properties, Analytic method; Data analytics; Energy carriers; Experimental investigations; Hydrogen properties; Hydrogen solubility; Hydrogen storage medium; Low melting; Predictive models; Storage potential, Ionic liquids},
        abstract = {In recent years, hydrogen has been an attractive substitute as an energy carrier to fossil fuels, though it isdifficult to store by conventional means. Ionic Liquids (ILs) are low-melting salts with varying propertiesof interest. Experimental investigations into the utilization of ILs as hydrogen storage mediums are stillongoing. This study aimed to predict the solubility of hydrogen in ILs using the data analytics method, whereby the correlations between the ILs' requisite hydrogen properties and hydrogen solubility weredeveloped and validated. The methodology involves comparing the experimental data from the literatureand the simulated data from COSMO-RS software, where predictive correlations were developed usinganalytical software such as Python. The predictive model can be used to predict the hydrogen solubility ofILs based on the input inherent thermophysical properties of the IL before a particular IL is synthesizedand tested in an actual laboratory setting. Copyright {\^A}{\copyright} 2023 Society of Petroleum Engineers.}
}