Evidence and origin of anomalous diffusion of Ag+ ion in amorphous silica: A molecular dynamics study with neural network interatomic potentials

The release of Ag+ ions into the environment through silica layers is a promising strategy for the development of anti-microbial surface coating devices. The aim of the present study is to provide some insight into the elementary mechanisms of diffusion of Ag+ ions through silica with the objective of proposing control strategies. Thanks to the development of interaction potentials based on neural networks, the diffusion processes were studied via molecular dynamics simulations. Silver diffusion was found to be anomalous and sub-diffusive, the origin of which could be attributed to deceleration and temporal anti-correlations. This sub-diffusion has been attributed primarily to the disordered nature of the silica matrix. Furthermore, it is magnified by the presence of coordination defects within the silica matrix. These defects, in particular the under-coordinated oxygen atoms, act as traps for Ag+ by forming O-Ag bonds, thereby limiting the jump length and retaining the ion for long duration. By comparison with existing diffusion models, the diffusion mechanism in the absence of defects appears to be of the fractional Brownian motion type, substantially modified by the presence of defects. Two possible approaches have emerged to tune the release of Ag+ ions through the silica layer: the monitoring of the number of defects and the opening/closing of diffusion paths via, e.g., a modification of the silica density.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2025-03-11
DOI
https://doi.org/10.1063/5.0251120
Citations
6
Primary Topic
Material Dynamics and Properties
Type
article
Field-Weighted Citation Impact
3.11

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article

Evidence and origin of anomalous diffusion of Ag+ ion in amorphous silica: A molecular dynamics study with neural network interatomic potentials

Caroline Bonafos, Nathalie Tarrat, Nicolas Combe, Patrizio Benzo et al.
6 citations
The Journal of Chemical Physics
Material Dynamics and Properties
3.11
article

Evidence and origin of anomalous diffusion of Ag+ ion in amorphous silica: A molecular dynamics study with neural network interatomic potentials

Caroline Bonafos, Nathalie Tarrat, Nicolas Combe, Patrizio Benzo, Magali Benoit, Salomé Trillot
article en
6 citations

Abstract

The release of Ag+ ions into the environment through silica layers is a promising strategy for the development of anti-microbial surface coating devices. The aim of the present study is to provide some insight into the elementary mechanisms of diffusion of Ag+ ions through silica with the objective of proposing control strategies. Thanks to the development of interaction potentials based on neural networks, the diffusion processes were studied via molecular dynamics simulations. Silver diffusion was found to be anomalous and sub-diffusive, the origin of which could be attributed to deceleration and temporal anti-correlations. This sub-diffusion has been attributed primarily to the disordered nature of the silica matrix. Furthermore, it is magnified by the presence of coordination defects within the silica matrix. These defects, in particular the under-coordinated oxygen atoms, act as traps for Ag+ by forming O-Ag bonds, thereby limiting the jump length and retaining the ion for long duration. By comparison with existing diffusion models, the diffusion mechanism in the absence of defects appears to be of the fractional Brownian motion type, substantially modified by the presence of defects. Two possible approaches have emerged to tune the release of Ag+ ions through the silica layer: the monitoring of the number of defects and the opening/closing of diffusion paths via, e.g., a modification of the silica density.

The Journal of Chemical PhysicsVol. 162(10)
Centre National de la Recherche Scientifique (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre d’Élaboration de Matériaux et d’Études Structurales (FR)
Agence Nationale de la Recherche, Grand Équipement National De Calcul Intensif
Openalex Percentile: Top 9%
Material Dynamics and Properties
3.11
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