Volume 24, Issue 7 pp. 855-861
Full Paper

Lattice Energy Estimation for Complex Inorganic Ionic Crystal

Lai-Long Mu

Lai-Long Mu

Project supported by the University Natural Science Foundation of Jiangsu Province (No. 04KJD150195).

Tel.: 0086-0516-83403163; Fax: 0086-0516-83403164

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Hong-Mei He

Hong-Mei He

Xuzhou College of Industrial Technology, Xuzhou, Jiangsu 221006, China

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Chang-Jun Feng

Chang-Jun Feng

Department of Chemistry, Xuzhou Normal University, Xuzhou, Jiangsu 221116, China

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First published: 04 July 2006
Citations: 9

Project supported by the University Natural Science Foundation of Jiangsu Province (No. 04KJD150195).

Tel.: 0086-0516-83403163; Fax: 0086-0516-83403164

Abstract

A novel connectivity index mG based on adjacency matrix of molecular graphs was proposed as follows: mG=Σ(gi·gj·gk···)0.5. The element gi of adjacency matrix was defined as gi= (1+Zi1.4)/(1+ri1.4), where Zi and ri are the charge number and the thermochemical radius of ion i respectively, and the radii rifor metal ions are taken to be the Goldschmidt radius. The regression analysis by the connectivity index 1G can provide a high-quality QSPR model for the lattice energies of 245 complex inorganic ionic crystal samples. The results imply that the lattice energies may be expressed as a linear model of the connectivity index 1G. For the linear model the correlation coefficient r and the standard error s are 0.9998 and 228.72 kJ/mol, respectively. The cross-validation by the leave-one-out method demonstrates that the model is highly reliable from the point of view of statistics.

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