Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. A multicomponent QSPR approach to describe and predict gas-ionic liquid distribution of organic solutes using machine learning. J. Mol. Liq. 2025, 436, 128184.
收藏QSAR DataBank2025-03-17 更新2026-04-25 收录
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资源简介：
Ionic liquids are known as green solvents, which makes accurate prediction of gas–ionic liquid partition coefficients (log K) important from the perspective of various industrial applications. A gas–ionic liquid is a multicomponent system, but is usually modelled by the structural properties of one component, the solute. The integration of structural descriptors ...
提供机构：
Karl Marti Toots, Sild, Sulev, Leis, Jaan, Acree, William E., Maran, Uko
创建时间：
2025-03-17
