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Prediction of Hydrogen Solubility in Ionic Liquids by Machine Learning Models Based on COSMO-RS Descriptors Click to copy article link Article link copied!
Abstract Click to copy section linkSection link copied! Understanding hydrogen (H2) solubility in ionic liquids (ILs) is crucial for promoting the performance of ILs in many important applications of green H2 value-chains including low-energy H2 purification, IL-based H2 compressors, and solvents for biomass hydrogenation.
Material Innovations and System Challenges in Hydrogen Storage: A Comprehensive Review
Conflicts of Interest The authors declare no conflict of interest. Data Availability Statement The authors have nothing to report. References 1, , and , “Hydrogen Storage: Recent Improvements and Industrial Perspectives,” International Journal of Hydrogen Energy 42 (2017): 7254–7262, https://doi.org/10.1016/j.ijhydene.2016.03.178.
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