ArticleRSC advances2021
The Monte Carlo approach to model and predict the melting point of imidazolium ionic liquids using hybrid optimal descriptors.
Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Using the Coefficient of Conformism of a Correlative Prediction in Simulation of Cardiotoxicity.Toxics · 2025Article
- QSAR models for the ozonation of diverse volatile organic compounds at different temperatures.RSC advances · 2024Article
- A simple and reliable QSPR model for prediction of chromatography retention indices of volatile organic compounds in peppers.RSC advances · 2024Article
- In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization.BMC chemistry · 2023Article
- Quantitative structure-activity relationship modeling for predication of inhibition potencies of imatinib derivatives using SMILES attributes.Scientific reports · 2022Article
- Ecotoxicological prediction of organic chemicals towardRSC advances · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ionic liquids (ILs) have captured intensive attention owing to their unique properties such as high thermal stability, negligible vapour pressure, high dissolution capacity and high ionic conductivity as well as their wide applications in various scientific fields including organic synthesis, catalysis, and industrial extraction processes. Many applications of ionic liquids (ILs) rely on the melting point (
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Registered trials
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