Self-reactive substances are unstable chemical which can easily decompose and may lead to explosion in transport, storage, or process situations. For this reason, their thermal stability properties required assess possible safety issues for classification purpose. In study, the first quantitative structure–property relationships (QSPR) dedicated class of compounds were developed predict heat de...

it is well known that the chemical behavior of a compound is dependent upon the structure of itsmolecules. quantitative structure – activity relationship (qsar) studies and quantitative structure –property relationship (qspr) studies are active areas of chemical research that focus on the nature ofthis dependency. topological indices are the numerical value associated with chemical constitution...

the quantitative structure-property relationship (qspr) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. molecular descriptors calculated from structure alone were used to represent molecular structures. a subset of the calculated descriptors selected using a genetic algorithm (ga) was used in the qspr model development...

in this work, quantitative structure-property relationship (qspr) approaches were used to predict the redox potential of 42 phenolic antioxidants. the structures of all compounds optimized by the am1 semi-empirical method and then a large number of molecular descriptors were calculated for each compound in the data set. subsequently, stepwise multilinear regression was applied to select the mos...

Molecular descriptors are essential in mathematical chemistry for studying quantitative structure–property relationships (QSPRs), and topological indices a valuable source of information about molecular properties, such as size, cyclicity, branching degree, symmetry. Graph theory has played crucial role the development dominating parameters descriptors. A molecule graph, under graph isomorphism...

Quantitative structure-property relationship (QSPR) models for the flash points of 758 organic compounds are developed using geometrical, topological, quantum mechanical and electronic descriptors calculated by CODESSA PRO software. Multilinear regression models link the structures to their reported flash point values. We also report a nonlinear model based on an artificial neural network. The ...