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Revised Centrality Measures Tell a Robust Story of Ion Conduction in Solids
[Image: see text] The three most commonly used centrality measures in network theory have been adapted to consider ion conduction time rather than the number of steps. Flow-IN centrality highlights sites with the largest flow of ions from the nearest neighbor sites. Return-flow centrality highlights...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626585/ https://www.ncbi.nlm.nih.gov/pubmed/37857345 http://dx.doi.org/10.1021/acs.jpcb.3c03886 |
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author | Gomez-Haibach, Konrad Sebastian Gomez, Maria Alexandra |
author_facet | Gomez-Haibach, Konrad Sebastian Gomez, Maria Alexandra |
author_sort | Gomez-Haibach, Konrad Sebastian |
collection | PubMed |
description | [Image: see text] The three most commonly used centrality measures in network theory have been adapted to consider ion conduction time rather than the number of steps. Flow-IN centrality highlights sites with the largest flow of ions from the nearest neighbor sites. Return-flow centrality highlights sites with a fast rate of first returns for the conducting ion. Flow-through centrality highlights which sites support significant flow of conducting ions and appears more robust to removal of the most central vertices. Exploring these centrality measures with the sample system of proton conduction in yttrium doped barium zirconate shows flow-through centrality to provide a robust picture with high contrast between sites involved in the most probable long-range periodic conduction paths and kinetic Monte Carlo trajectories versus sites rarely visited. The flow-through centrality, including all paths further highlights that when the most central proton site is filled, the remaining highest flow-through centrality sites are nearby, corroborating earlier studies suggesting proton pair motion. Finally, while both return-flow and flow-through centrality measure images deteriorate with noise, image restoration is possible when a detailed balance is used to calculate the smaller rate constant in a forward/backward pair. |
format | Online Article Text |
id | pubmed-10626585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106265852023-11-07 Revised Centrality Measures Tell a Robust Story of Ion Conduction in Solids Gomez-Haibach, Konrad Sebastian Gomez, Maria Alexandra J Phys Chem B [Image: see text] The three most commonly used centrality measures in network theory have been adapted to consider ion conduction time rather than the number of steps. Flow-IN centrality highlights sites with the largest flow of ions from the nearest neighbor sites. Return-flow centrality highlights sites with a fast rate of first returns for the conducting ion. Flow-through centrality highlights which sites support significant flow of conducting ions and appears more robust to removal of the most central vertices. Exploring these centrality measures with the sample system of proton conduction in yttrium doped barium zirconate shows flow-through centrality to provide a robust picture with high contrast between sites involved in the most probable long-range periodic conduction paths and kinetic Monte Carlo trajectories versus sites rarely visited. The flow-through centrality, including all paths further highlights that when the most central proton site is filled, the remaining highest flow-through centrality sites are nearby, corroborating earlier studies suggesting proton pair motion. Finally, while both return-flow and flow-through centrality measure images deteriorate with noise, image restoration is possible when a detailed balance is used to calculate the smaller rate constant in a forward/backward pair. American Chemical Society 2023-10-19 /pmc/articles/PMC10626585/ /pubmed/37857345 http://dx.doi.org/10.1021/acs.jpcb.3c03886 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Gomez-Haibach, Konrad Sebastian Gomez, Maria Alexandra Revised Centrality Measures Tell a Robust Story of Ion Conduction in Solids |
title | Revised Centrality Measures Tell a Robust Story of
Ion Conduction in Solids |
title_full | Revised Centrality Measures Tell a Robust Story of
Ion Conduction in Solids |
title_fullStr | Revised Centrality Measures Tell a Robust Story of
Ion Conduction in Solids |
title_full_unstemmed | Revised Centrality Measures Tell a Robust Story of
Ion Conduction in Solids |
title_short | Revised Centrality Measures Tell a Robust Story of
Ion Conduction in Solids |
title_sort | revised centrality measures tell a robust story of
ion conduction in solids |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626585/ https://www.ncbi.nlm.nih.gov/pubmed/37857345 http://dx.doi.org/10.1021/acs.jpcb.3c03886 |
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