2016
DOI: 10.1155/2016/1791756
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Nanoquantitative Structure-Property Relationship Modeling on C42Fullerene Isomers

Abstract: The interest of scientists in nanostructures has been increased in the last years and proper methods for their assessment are needed.In silicomethods found their usefulness in the replacement of experimental evaluation and are successfully used as efficient alternatives for estimation and prediction of compound’s properties or activities. In this paper, it is shown that a Quantitative Structure-Property Relationship method is proper to be applied also on nanostructures. Based on computational experiment, sever… Show more

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Cited by 7 publications
(6 citation statements)
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“…The best prediction is obtained when the descriptors identified to belong to the most accurate models on C40 congeners are used to predict the same property, namely total strain energy, on C42 congeners. This result is similar with the previously reported results [18]. The analysis of Eq (3) and Eq (4) showed lower values of the coefficients in prediction model compared with estimation model but without any change of the sign (as + or -) of the coefficients.…”
Section: Assessment Of Prediction Powersupporting
confidence: 92%
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“…The best prediction is obtained when the descriptors identified to belong to the most accurate models on C40 congeners are used to predict the same property, namely total strain energy, on C42 congeners. This result is similar with the previously reported results [18]. The analysis of Eq (3) and Eq (4) showed lower values of the coefficients in prediction model compared with estimation model but without any change of the sign (as + or -) of the coefficients.…”
Section: Assessment Of Prediction Powersupporting
confidence: 92%
“…The most accurate models reported on C42 fullerene isomers able to estimate and predict the total strain energy using SMPI descriptor as previously reported [18] No significant difference in regard of correlation coefficients was observed when Eq(7) was compared with Eq(8) ( Table 8). All other cases showed significant higher correlation coefficients as the number of equation increased (Table 8).…”
Section: Comparison With Other Reported Modelssupporting
confidence: 57%
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“…The workflow is represented in the next figure (Figure 1). After the Gaussian program made the calculations based on the 39 methods selected, a family of molecular descriptors (FMPI-Fragmental Matrix Property Indices) [23] was also calculated to evaluate the degree of similarity between the methods. The results were submitted to cluster, PCA, and other statistical analyses.…”
Section: Semi-empirical Methods (Default Spin)mentioning
confidence: 99%