Quantitative structure-property relationships for the prediction of standard enthalpies and entropies of formation as well as standard molar heat capacities for small oxygen heterocyclic compounds were developed, using 1D, 2D and 3D descriptors and experimental or computed thermochemical data. To develop the models, the data set was split into test and training sets using D-optimal experimental design to generate a diverse training set. Internal (R2cross-validated = 0.898 - 0.998) and external (R2cross-validated = 0.847 - 0.996) validation showed the models to be both stable and highly predictive. Enthalpies of formation were best described by electrotopological, atomic composition and molecular refractivity descriptors, while Kier and Hall...
The new EU regulation REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) a...
Developing models for predicting molecular properties of organic compounds is imperative for drug de...
Quantitative Structure Property Relationships (QSPR) are predictive methods of macroscopic propertie...
Quantitative structure-property relationships for the prediction of standard enthalpies and entropie...
Although parametrized Semiempirical Molecular Orbital Methods were especially designed to obtain ent...
Quantitative structure-property relationships represent alternative method to experiments to access ...
The thermodynamic properties of a substance are key to predicting its behavior in physical and chemi...
Accurate thermochemistry estimation of polycyclic molecules is crucial for kinetic modeling of chemi...
A complete and consistent set of 60 Benson group additive values (GAVs) for oxygenate molecules and ...
International audienceSelf-reactive substances are unstable chemical substances which can easily dec...
Organic peroxides are unstable chemicals which can easily decompose and may lead to explosion. Such ...
The standard enthalpy of formation of 1115 compounds from all chemicalgroups, were predicted using g...
Due to the fast development and availability of computers, predictive approaches are increasingly us...
We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for ent...
Three QSPR models for the prediction of the critical temperature, the critical pressure and the norm...
The new EU regulation REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) a...
Developing models for predicting molecular properties of organic compounds is imperative for drug de...
Quantitative Structure Property Relationships (QSPR) are predictive methods of macroscopic propertie...
Quantitative structure-property relationships for the prediction of standard enthalpies and entropie...
Although parametrized Semiempirical Molecular Orbital Methods were especially designed to obtain ent...
Quantitative structure-property relationships represent alternative method to experiments to access ...
The thermodynamic properties of a substance are key to predicting its behavior in physical and chemi...
Accurate thermochemistry estimation of polycyclic molecules is crucial for kinetic modeling of chemi...
A complete and consistent set of 60 Benson group additive values (GAVs) for oxygenate molecules and ...
International audienceSelf-reactive substances are unstable chemical substances which can easily dec...
Organic peroxides are unstable chemicals which can easily decompose and may lead to explosion. Such ...
The standard enthalpy of formation of 1115 compounds from all chemicalgroups, were predicted using g...
Due to the fast development and availability of computers, predictive approaches are increasingly us...
We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for ent...
Three QSPR models for the prediction of the critical temperature, the critical pressure and the norm...
The new EU regulation REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) a...
Developing models for predicting molecular properties of organic compounds is imperative for drug de...
Quantitative Structure Property Relationships (QSPR) are predictive methods of macroscopic propertie...