2012
DOI: 10.1016/j.molliq.2012.07.012
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Prediction of the aniline point temperature of pure hydrocarbon liquids and their mixtures from molecular structure

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Cited by 11 publications
(11 citation statements)
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“…3 and 4, respectively. Based on our past success when predicting other properties (Albahri, 2003a(Albahri, , 2012(Albahri, , 2003b(Albahri, , 2013aAlbahri and George, 2003;Albahri and Alashwak, 2013;Albahri and Aljasmi, 2013;Albahri, 2013b) and the work of others (Pan et al, 2007;Patel et al, 2009), we conclude accurate predictions of DH o c are not impeded by the SGC method or the optimization tool. These predictions are hindered by the DH o c property itself, which is too complex to model for various families of chemical compounds while using a simple MVR model.…”
Section: Sgc-mvr Modelmentioning
confidence: 83%
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“…3 and 4, respectively. Based on our past success when predicting other properties (Albahri, 2003a(Albahri, , 2012(Albahri, , 2003b(Albahri, , 2013aAlbahri and George, 2003;Albahri and Alashwak, 2013;Albahri and Aljasmi, 2013;Albahri, 2013b) and the work of others (Pan et al, 2007;Patel et al, 2009), we conclude accurate predictions of DH o c are not impeded by the SGC method or the optimization tool. These predictions are hindered by the DH o c property itself, which is too complex to model for various families of chemical compounds while using a simple MVR model.…”
Section: Sgc-mvr Modelmentioning
confidence: 83%
“…We assign numerical values through regressions of available experimental data using numerical methods and determine the property through algebraic equations that sum the contributions of the parts of the molecule. Of the many SGC estimation methods available in the literature, the Joback definitions of the group contributions (Reid et al, 1987) were selected as a starting point based on their simplicity, generality and accuracy (Reid et al, 1987;Albahri, 2003aAlbahri, , 2012Albahri, , 2003bAlbahri, , 2013aAlbahri, , 2013bAlbahri and George, 2003;Albahri and Alashwak, 2013;Albahri and Aljasmi, 2013). This combination was tested and modified with the functional groups in the molecules that result in the best R and AAE while using ANN.…”
Section: Structural Group Contribution (Sgc) Methodsmentioning
confidence: 99%
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