Linear and nonlinear quantitative structure–property relationship (QSPR) models were
developed based on a dataset with 65 polymer-solvent combinations. Seven quantum …

ABSTRACT A four-descriptor quantitative structure–property relationship model was
constructed to predict 65 intrinsic viscosities [η] of polymer solutions. Four quantum chemical …

In this work, a linear quantitative structure–property relationship (QSPR) model is presented
for the prediction of intrinsic viscosity in polymer solutions. The model was produced by …

Intrinsic viscosity (limiting viscosity number) of a dilute polymer solution is one of the most
fundamental properties of polymers for solubility parameters calculation, determining the …

In this work, a linear quantitative structure–property relationship (QSPR) model was
presented for the prediction of polymeric conformational property, the molar stiffness function …

A quantitative structure–property relationship (QSPR) treatment of intrinsic viscosity of
polymer solutions was performed by means of a genetic algorithm based multivariate linear …

A QSPR (quantitative structure− property relationship) model for the estimation of the liquid
viscosity of a large variety of organic compounds was established using the CODESSA …

Abstract Quantitative Structure‐Property Relationship (QSPR) modeling is a powerful
approach for predicting the properties of environmental organic pollutants from their …

Lower critical solution temperature (LCST) and upper critical solution temperature (UCST)
are key thermodynamic properties of binary polymer solutions. In this work, quantitative …

In this study, linear and nonlinear quantitative structure-property relationship (QSPR)
models, respectively called the multiple linear regression based QSPR (MLR-QSPR) model …