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Non-empirical identification of trigger sites in heterogeneous processes using persistent homology
Macroscopic phenomena, such as fracture, corrosion, and degradation of materials, are associated with various reactions which progress heterogeneously. Thus, material properties are generally determined not by their averaged characteristics but by specific features in heterogeneity (or ‘trigger site...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824834/ https://www.ncbi.nlm.nih.gov/pubmed/29476108 http://dx.doi.org/10.1038/s41598-018-21867-z |
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author | Kimura, Masao Obayashi, Ippei Takeichi, Yasuo Murao, Reiko Hiraoka, Yasuaki |
author_facet | Kimura, Masao Obayashi, Ippei Takeichi, Yasuo Murao, Reiko Hiraoka, Yasuaki |
author_sort | Kimura, Masao |
collection | PubMed |
description | Macroscopic phenomena, such as fracture, corrosion, and degradation of materials, are associated with various reactions which progress heterogeneously. Thus, material properties are generally determined not by their averaged characteristics but by specific features in heterogeneity (or ‘trigger sites’) of phases, chemical states, etc., where the key reactions that dictate macroscopic properties initiate and propagate. Therefore, the identification of trigger sites is crucial for controlling macroscopic properties. However, this is a challenging task. Previous studies have attempted to identify trigger sites based on the knowledge of materials science derived from experimental data (‘empirical approach’). However, this approach becomes impractical when little is known about the reaction or when large multi-dimensional datasets, such as those with multiscale heterogeneities in time and/or space, are considered. Here, we introduce a new persistent homology approach for identifying trigger sites and apply it to the heterogeneous reduction of iron ore sinters. Four types of trigger sites, ‘hourglass’-shaped calcium ferrites and ‘island’- shaped iron oxides, were determined to initiate crack formation using only mapping data depicting the heterogeneities of phases and cracks without prior mechanistic information. The identification of these trigger sites can provide a design rule for reducing mechanical degradation during reduction. |
format | Online Article Text |
id | pubmed-5824834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58248342018-03-01 Non-empirical identification of trigger sites in heterogeneous processes using persistent homology Kimura, Masao Obayashi, Ippei Takeichi, Yasuo Murao, Reiko Hiraoka, Yasuaki Sci Rep Article Macroscopic phenomena, such as fracture, corrosion, and degradation of materials, are associated with various reactions which progress heterogeneously. Thus, material properties are generally determined not by their averaged characteristics but by specific features in heterogeneity (or ‘trigger sites’) of phases, chemical states, etc., where the key reactions that dictate macroscopic properties initiate and propagate. Therefore, the identification of trigger sites is crucial for controlling macroscopic properties. However, this is a challenging task. Previous studies have attempted to identify trigger sites based on the knowledge of materials science derived from experimental data (‘empirical approach’). However, this approach becomes impractical when little is known about the reaction or when large multi-dimensional datasets, such as those with multiscale heterogeneities in time and/or space, are considered. Here, we introduce a new persistent homology approach for identifying trigger sites and apply it to the heterogeneous reduction of iron ore sinters. Four types of trigger sites, ‘hourglass’-shaped calcium ferrites and ‘island’- shaped iron oxides, were determined to initiate crack formation using only mapping data depicting the heterogeneities of phases and cracks without prior mechanistic information. The identification of these trigger sites can provide a design rule for reducing mechanical degradation during reduction. Nature Publishing Group UK 2018-02-23 /pmc/articles/PMC5824834/ /pubmed/29476108 http://dx.doi.org/10.1038/s41598-018-21867-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kimura, Masao Obayashi, Ippei Takeichi, Yasuo Murao, Reiko Hiraoka, Yasuaki Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title | Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title_full | Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title_fullStr | Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title_full_unstemmed | Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title_short | Non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
title_sort | non-empirical identification of trigger sites in heterogeneous processes using persistent homology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824834/ https://www.ncbi.nlm.nih.gov/pubmed/29476108 http://dx.doi.org/10.1038/s41598-018-21867-z |
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