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• W3025681696 startingPage "11585" @default.
• W3025681696 abstract "Scales of electronegativity values are used by chemists to describe numerous chemical features such as chemical mechanisms, bond polarity, band gap, atomic hardness, etc. While the many scales provide similar trends, all differ in their predictive quality. Confirmation of the quality of a new scale often uses a previous scale for comparison but does not use independent means to demonstrate the merits of the scale. Utilizing a table of binary compounds of known ionic, covalent, and metallic bonding characters, a means to evaluate electronegativity scales is developed here. By plotting the electronegativity values of the two bonded atoms in binary compounds of a known bonding character, a tripartite separation results that generally divides the three bond types. Using the results of graphs of this sort, the success of bonding separations of 14 different scales of electronegativity has been evaluated on the basis of three quantitative parameters that can provide a measure of the quality of the scales. Three scales, those of Allen, Martynov and Batsanov, and Nagle, have been shown to be superior in their ability to predict the expected separation of bond types. Since this scheme successfully demonstrates the ability to evaluate the quality of electronegativity scales, it can be applied to other scales to establish their effectiveness in predicting bond types in binary compounds and thus the quality of the scales. This scheme is applied to a recently published electronegativity scale to evaluate the ability to determine its quality." @default.
• W3025681696 created "2020-05-21" @default.
• W3025681696 creator A5049974045 @default.
• W3025681696 date "2020-05-12" @default.
• W3025681696 modified "2023-10-01" @default.
• W3025681696 title "Evaluation of Electronegativity Scales" @default.
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• W3025681696 doi "https://doi.org/10.1021/acsomega.0c00831" @default.
• W3025681696 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7254809" @default.
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• W3025681696 hasPublicationYear "2020" @default.
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