The standard enthalpy of formation of 1115 compounds from all chemicalgroups, were predicted using genetic algorithm-based multivariate linear regression (GA-MLR). The obtained multivariate linear five descriptors model by GA-MLR has correlationcoefficient ( R 2 = 0.9830 ). All molecular descriptors which have entered in this model arecalculated from chemical structure of any molecule. As a result, application of this modelfor any compound is easy and accurate
Organometallic compounds are an important class of chemicals, because many of them have vital bioche...
A methodology for predicting the standard enthalpy of formation of gas-phase molecules with high spe...
The performance of an energy conversion system depends on exergy analysis and entropy generation min...
In this communication, a quantitative structure–property relationship (QSPR) is presented for an est...
International audienceIn this communication, a quantitative structure-property relationship (QSPR) i...
A new predictive method based on Partial Order Ranking is introduced in the realm of the QSPR–QSAR T...
International audienceIn this work, the Quantitative Structure-Property Relationship (QSPR) method i...
International audienceSelf-reactive substances are unstable chemical substances which can easily dec...
International audienceIn this article, we present a comprehensive quantitative structure-property re...
Although parametrized Semiempirical Molecular Orbital Methods were especially designed to obtain ent...
Quantitative structure-property relationships for the prediction of standard enthalpies and entropie...
A step towards more stringent procedures for the risk control of chemicals has arisen with the recen...
In this article, we present a comprehensive quantitative structure–property relationship (QSPR) to e...
International audienceReliable estimation of vapor pressure is of great significance for chemical in...
The net heat of combustion is one of the most important properties of flammable substances that can ...
Organometallic compounds are an important class of chemicals, because many of them have vital bioche...
A methodology for predicting the standard enthalpy of formation of gas-phase molecules with high spe...
The performance of an energy conversion system depends on exergy analysis and entropy generation min...
In this communication, a quantitative structure–property relationship (QSPR) is presented for an est...
International audienceIn this communication, a quantitative structure-property relationship (QSPR) i...
A new predictive method based on Partial Order Ranking is introduced in the realm of the QSPR–QSAR T...
International audienceIn this work, the Quantitative Structure-Property Relationship (QSPR) method i...
International audienceSelf-reactive substances are unstable chemical substances which can easily dec...
International audienceIn this article, we present a comprehensive quantitative structure-property re...
Although parametrized Semiempirical Molecular Orbital Methods were especially designed to obtain ent...
Quantitative structure-property relationships for the prediction of standard enthalpies and entropie...
A step towards more stringent procedures for the risk control of chemicals has arisen with the recen...
In this article, we present a comprehensive quantitative structure–property relationship (QSPR) to e...
International audienceReliable estimation of vapor pressure is of great significance for chemical in...
The net heat of combustion is one of the most important properties of flammable substances that can ...
Organometallic compounds are an important class of chemicals, because many of them have vital bioche...
A methodology for predicting the standard enthalpy of formation of gas-phase molecules with high spe...
The performance of an energy conversion system depends on exergy analysis and entropy generation min...