Exploiting graph theory in MD simulations for extracting chemical and physical properties of materials

Journal Article (2024)
Author(s)

Sana Bougueroua (Université Paris-Saclay)

A.A. Kolganov (TU Delft - Applied Sciences)

Chloe Helain (Université Paris-Saclay)

Coralie Zens (Université Paris-Saclay)

Dominique Barth (Université Paris-Saclay)

E.A. Pidko (TU Delft - Applied Sciences)

Marie Pierre Gaigeot (Université Paris-Saclay, Institut Universitaire de France)

Research Group
ChemE/Inorganic Systems Engineering
DOI related publication
https://doi.org/10.1039/D4CP02764G Final published version
More Info
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Publication Year
2024
Language
English
Research Group
ChemE/Inorganic Systems Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Physical chemistry chemical physics (PCCP)
Issue number
3
Volume number
27
Pages (from-to)
1298-1309
Downloads counter
215
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Abstract

Some of our recent developments and applications of algorithmic graph theory for extracting the physical and chemical properties of materials from molecular dynamics simulations are presented. From the chemical viewpoint, the power of graph theory is illustrated in the search for a catalyst's active sites at a silica solid surface. From the physical viewpoint, we present graph algorithms that recognize the structural motifs that exist at the silica/liquid water interface. Statistical analyses of the instances of these surface–water motifs provide a detailed understanding of the structures and dynamics at the aqueous interface.

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