Quantitative structure-property relationship (QSPR) models are developed to predict the logarithm of infinite dilution activity coefficient of hydrocarbons, oxygen containing organic compounds and halogenated hydrocarbons in water at 298.15 K. The description of the molecular structure in terms of quantum-connectivity descriptors allows to obtain more simple QSPR models because of the quantum-c...

Insubria QSPR PaDEL-Descriptor model for Vapor Pressure prediction of Polybrominated Diphenyl Ethers. 1.2.Other related models: E. Papa, S. Kovarich, P. Gramatica, 2009, Validation and Inspection of the Applicability Domain of QSPR Models for Physicochemical Properties of Polybrominated Diphenyl Ethers, QSAR & Comb.Sci. 28, 790-796. [9] 1.3.Software coding the model: [1]PaDEL-Descriptor 2.18 A ...

The Particle Swarm Optimization (PSO) and Support Vector Machines (SVMs) approaches are used for predicting the thermodynamic parameters for the 1:1 inclusion complexation of chiral guests with beta-cyclodextrin. A PSO is adopted for descriptor selection in the quantitative structure-property relationships (QSPR) of a dataset of 74 chiral guests due to its simplicity, speed, and consistency. Th...

A phenomenological study of solubility has been conducted using a combination of quantitative structure-property relationship (QSPR) and principal component analysis (PCA). A solubility database of 4540 experimental data points was used that utilized available experimental data into a matrix of 154 solvents times 397 solutes. Methodology in which QSPR and PCA are combined was developed to predi...

The vapor pressures and the aqueous solubilities of 411 compounds with a large structural diversity were investigated using a quantitative structure-property relationship (QSPR) approach. A five-descriptor equation with the squared correlation coefficient (R2) of 0.949 for vapor pressure and a six-descriptor equation with R2 of 0.879 for aqueous solubility were obtained. All descriptors were de...

Working fluid selection is crucial for organic Rankine cycles (ORC). In this study, the relationship between molecular structure and ORC performance was established based on quantitative structure–property (QSPR) working parameterized model (WFPM), from which an actively designed. First, QSPR with four properties, namely, critical temperature (Tc), boiling point (Tb), pressure (pc), isobaric he...