Prediction of Standard Enthalpy of Formation by a QSPR Model

Prediction of Standard Enthalpy of Formation by a QSPR Model

The standard enthalpy of formation of 1115 compounds from all chemical groups, were predicted using genetic algorithm-based multivariate linear regression (GAMLR). The obtained multivariate linear five descriptors model by GA-MLR has correlation coefficient ( 9830 . 0 2 = R ). All molecular descriptors which have entered in this model are calculated from chemical structure of any molecule. As a...

Correction: Vatani, A., et al. Prediction of Standard Enthalpy of Formation by a QSPR Model. Int. J. Mol. Sci. 2007, 8, 407–432.

International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Correction Correction: Vatani, A., et al. Prediction of Standard Enthalpy of Formation by a QSPR Model. Int. J. Mol. Sci. 2007, 8, 407-432. Ali Vatani, Mehdi Mehrpooya * and Farhad Gharagheizi Department of Chemical Engineering, Faculty of Engineering, University of Tehran, P.O.Box: 113654563, Tehran, Iran * Au...

Improving QSPR models for predicting standard enthalpy of formation with a hybrid approach for feature selection

‏‎suppression of coke formation in thermal cracking by coke inhibitors‎‏

‏‎the main purpose of this research was to:1.develop a coking model for thermal cracking of naphtha.2.study coke inhibition methods using different coke inhibitors.developing a coking model in naphtha cracking reactors requires a suitable model of the thermal cracking reactor based on a reliable kinetic model.to obtain reliable results all these models shall be solved simultaneously.for this pu...

a study on insurer solvency by panel data model: the case of iranian insurance market

the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.