ArticleFrontiers in chemistry2019
Establishing Predictive Models for Solvatochromic Parameters of Ionic Liquids.
Article in Frontiers in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Ionic liquid electrolyte selection for high voltage supercapacitors in high-temperature applications.Frontiers in chemistry · 2024Article
- Closed-Loop Electrolyte Design for Lithium-Mediated Ammonia Synthesis.ACS central science · 2021Article
- A review on machine learning algorithms for the ionic liquid chemical space.Chemical science · 2021Review
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
The use of ionic liquids (ILs) in applications ranging from catalysis to reaction media in organic synthesis has been successfully demonstrated in several cases. For any given IL application, fundamental properties, such as viscosity, thermal stability, and toxicity have to be considered. Another property of interest is the polarity, which is a crucial indicator of solvent effects on chemical processes. Given the near-infinite combinations of cations and anions, experimental determination of solvatochromic parameters, such as the hydrogen-bond acidity and basicity, and dipolarity-polarizability is prohibitive. To address this, we evaluate the utility of alternative schemes based on parameters derived from COSMO-RS (COnductor-like Screening MOdel for Real Solvents) computations. The scheme is applied to a large library of yet-to-be-synthesized ionic liquids, to identify promising candidates for applications in biomass dissolution.
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Registered trials
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