Abstract
Quantitative structure–property relationships were studied between descriptors representing the molecular structures and thermal decomposition temperatures (T d) for a diverse set of 90 second-order nonlinear optical (NLO) chromophores. A seven-parameter model was developed for the prediction of molar thermal decomposition function Y d (T d M, where M represents the molar weight) with R 2 =0.9642 and SEE=14.01 by multilinear regression analysis. The mean relative error for the prediction of T d was 4.46%. The stability of the proposed model was validated using leave-one-out cross-validation. All descriptors involved in the model were derived solely from the chemical structures of the NLO chromophores.
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Abbreviations
- QSPR:
-
Quantitative structure–property relationships
- NLO:
-
Nonlinear optical
- SEE:
-
Standard error of estimation
- LOO:
-
Leave-one-out
- MLRA:
-
Multilinear regression analysis
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (50025309 and 90201016). Special thanks were given to Prof. Todeschini and other members in Milano Chemometerics and the QSAR Group for providing the Dragon package for use in this research.
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Xu, J., Guo, B., Chen, B. et al. A QSPR treatment for the thermal stabilities of second-order NLO chromophore molecules. J Mol Model 12, 65–75 (2005). https://doi.org/10.1007/s00894-005-0006-x
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DOI: https://doi.org/10.1007/s00894-005-0006-x