Computing the Local Aromaticity of Benzenoids Thanks to Constraint Programming - Aix-Marseille Université Access content directly
Conference Papers Year : 2020

Computing the Local Aromaticity of Benzenoids Thanks to Constraint Programming

Yannick Carissan
Chisom-Adaobi Dim
  • Function : Author
Cyril Terrioux
Adrien Varet

Abstract

Benzenoids are a subfamily of hydrocarbons (molecules that are only made of hydrogen and carbon atoms) whose carbon atoms form hexagons. These molecules are widely studied in theoretical chemistry. Then, there is a lot of problems relative to this subject, like the benzenoid generation or the enumeration of all its Kekulé structures (i.e. all valid configurations of double bonds). In this context, the computation of the local aromaticity of a given benzenoid is an important problematic since the aromaticity cannot be measured. Nowadays, computing aromaticity requires quantum chemistry calculations that are too expensive to be used on medium to large-sized molecules. But, there exist some methods related to graph theory which can allow us to compute it. In this article, we describe how constraint programming can be useful in order to compute the aromaticity of benzenoids. Moreover we show that our method is much faster than the reference one, namely NICS.
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Dates and versions

hal-02931928 , version 1 (16-02-2021)

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Yannick Carissan, Chisom-Adaobi Dim, Denis Hagebaum-Reignier, Nicolas Prcovic, Cyril Terrioux, et al.. Computing the Local Aromaticity of Benzenoids Thanks to Constraint Programming. 26th International Conference on Principles and Practice of Constraint Programming, Sep 2020, Louvain-la-Neuve, Belgium. pp.673-689, ⟨10.1007/978-3-030-58475-7_39⟩. ⟨hal-02931928⟩
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