Prediction of ionic liquid thermophysical properties by group contribution method using random forest regression
Ionic liquids are tunable, there are vast combinations of cations and anions and attached substituent groups that can be combined together to achieve a target property. Mathematical equations in which the contributions of each component groups of an ionic liquid are considered in a predictive model...
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| Format: | text |
| Language: | English |
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Animo Repository
2023
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| Online Access: | https://animorepository.dlsu.edu.ph/etdm_chemeng/20 https://animorepository.dlsu.edu.ph/context/etdm_chemeng/article/1020/viewcontent/Prediction_of_ionic_liquid_thermophysical_properties_by_group_contribution_method_using_random_forest_regression.pdf |
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| Institution: | De La Salle University |
| Language: | English |