# Interpretable Structural Evaluation of Metal-Oxide Nanostructures in Scanning Transmission Electron Microscopy (STEM) Images via Persistent Homology

https://mdr.nims.go.jp/datasets/da718d39-f10f-4bc4-aaab-82b812b431eb

## File

- [nanomaterials-14-01413.pdf](https://mdr.nims.go.jp/filesets/2a8b27cb-2ce2-4eec-a407-b4eaa9552181/download) ([Detail](https://mdr.nims.go.jp/filesets/2a8b27cb-2ce2-4eec-a407-b4eaa9552181.md))

## Id

da718d39-f10f-4bc4-aaab-82b812b431eb

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-10-07T00:50:38.434015Z

## Updated at

2024-10-08T23:30:46.210809Z

## Published at

2024-10-08T23:30:46.293192Z

## Doi



## First published url

https://doi.org/10.3390/nano14171413

## Date published

2024-08-29

## Recorded date published



## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Interpretable Structural Evaluation of Metal-Oxide Nanostructures in Scanning
    Transmission Electron Microscopy (STEM) Images via Persistent Homology
  title_type: original
  lang: en

## Description

- description: Persistent homology is a powerful tool for quantifying various structures,
    but it is equally crucial to maintain its interpretability. In this study, we
    extracted interpretable geometric features from the persistent diagrams (PDs)
    of scanning transmission electron microscopy (STEM) images of self-assembled Pt-CeO2
    nanostructures synthesized under different annealing conditions. We focused on
    PD quadrants and extracted five interpretable features from the zeroth and first
    PDs of nanostructures ranging from maze-like to striped patterns. A combination
    of hierarchical clus-tering and inverse analysis of PDs reconstructed by principal
    component analysis through vec-torization of the PDs highlighted the importance
    of the number of arc-like structures of the CeO2 phase in the first PDs, particularly
    those that were smaller than a characteristic size. This descriptor enabled us
    to quantify the degree of disorder, namely the density of bends, in nanostructures
    formed under different conditions. By using this descriptor along with the width
    of the CeO2 phase, we classified 12 Pt-CeO2 nanostructures in an interpretable
    way.
  description_type: abstract
  lang: und

## Creator

- name: Ryuto Eguchi
  role: author
  orcid: https://orcid.org/0009-0003-2859-6934
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Yu Wen
  role: author
  orcid: https://orcid.org/0000-0001-7809-5941
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Hideki Abe
  role: author
  orcid: https://orcid.org/0000-0002-8392-7586
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Ayako Hashimoto
  role: author
  orcid: https://orcid.org/0000-0002-1985-7667
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: MDPI AG

## Managing organization



## Keyword

- subject: persistent homology
  schema: not_defined
- subject: metal-oxide nanostructures
  schema: not_defined
- subject: scanning transmission electron microscopy (STEM)
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Nanomaterials
  issn: '20794991'
  volume: '14'
  issue: '17'
  article_number: '1413'

## Conference



## Related item



## Funding

- identifier: JPMJFR213U
  funder_name: JST FOREST Program
- identifier: JPMJPR17S7
  funder_name: JST PRESTO
- identifier: JPMXP1223NM5325
  funder_name: ARIM
- identifier: JPMXP1224NM5122
  funder_name: ARIM
- identifier: 22H01799
  funder_name: JSPS Grant-in-Aid for Scientific Research
- identifier: 23K23067
  funder_name: JSPS Grant-in-Aid for Scientific Research

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## Fileset

- id: 2a8b27cb-2ce2-4eec-a407-b4eaa9552181
  filename: nanomaterials-14-01413.pdf
  content_type: application/pdf
  size: 2745702
  md5: e98ca267535d9d5f642814dc8866961d

## Thumbnail

fileset_id: 2a8b27cb-2ce2-4eec-a407-b4eaa9552181
filename: nanomaterials-14-01413.pdf