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In this article we explore the statistical properties of the Expectancy Valence model.
To our knowledge, there has not been a valence model for Chinese words based on large-scale manual annotation.
Instead, a standard valence model is employed, where implicit hydrogen atom counts are determined from (among other things) the atomic number, explicit atom valence and formal charge.
The SMILES format is not without some drawbacks: it is focused on molecules whose bonds fit the 2-electron valence model, it handles a limited array of stereochemistry types, and as yet there is no standard for handling aromaticity.
The expectancy valence model (EVM) was employed.
Consequently, it restricts the chemical compositions for which the bond valence model can be used.
(11) This section provides a mathematical derivation of the theorems of the bond valence model.
The bond valence model suggests an alternative description of this effect.
Both of these effects are correctly described by the localized bonds of the bond valence model.
A couple of useful heuristic principles underlie the theorems of the bond valence model.
The bond valence model was described comprehensively in my 2002 book, The Chemical Bond in Inorganic Chemistry: The Bond Valence Model, 1) where references to earlier work can be found.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com