ArticleMolecules (Basel, Switzerland)2020
A Refractive Index Study of a Diverse Set of Polymeric Materials by QSPR with Quantum-Chemical and Additive Descriptors.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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
5 citing papers in PubMed.
- Biocompatibility Assessment of Polydimethylsiloxane for Vitreous Substitution Application in Relation to Physicochemical Properties.Polymers · 2026Article
- Clustering of atoms relative to vector space in the Z-matrix coordinate system and 'graphical fingerprint' analysis of 3D pharmacophore structure.Molecular diversity · 2024Article
- POxload: Machine Learning Estimates Drug Loadings of Polymeric Micelles.Molecular pharmaceutics · 2024Article
- Quantitative Structure-Permittivity Relationship Study of a Series of Polymers.ACS materials Au · 2024Article
- In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach.Toxics · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Predicting the activities and properties of materials via in silico methods has been shown to be a cost- and time-effective way of aiding chemists in synthesizing materials with desired properties. Refractive index (n) is one of the most important defining characteristics of an optical material. Presented in this work is a quantitative structure-property relationship (QSPR) model that was developed to predict the refractive index for a diverse set of polymers. A number of models were created, where a four-variable model showed the best predictive performance with R
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Registered trials
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