# Quantitative analysis of 3D structures in metal-oxide composites

https://mdr.nims.go.jp/datasets/f8866e85-7957-4b53-a40c-cca403d18b5e

## File

- [21-Wen-MicroscopyandMicrosnalysis-27-2974(Proceeding).pdf](https://mdr.nims.go.jp/filesets/60fc55b9-21c2-4410-bf96-282993dec237/download) ([Detail](https://mdr.nims.go.jp/filesets/60fc55b9-21c2-4410-bf96-282993dec237.md))

## Id

f8866e85-7957-4b53-a40c-cca403d18b5e

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-09-09T08:19:37.708915Z

## Updated at

2024-12-18T07:31:18.807309Z

## Published at

2024-12-18T07:31:18.863713Z

## Doi

https://doi.org/10.48505/nims.5170

## First published url

https://doi.org/10.1017/s1431927621010345

## Date published

2021-07-30

## Recorded date published

2021-8

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Quantitative analysis of 3D structures in metal-oxide composites
  title_type: original
  lang: en

## Description

- description: Homology analysis is an efficient topological method of interpreting
    the shape of data. Several researches have applied it to describe and classify
    material structures, including metallic glasses and polycrystals. A quantitative
    interpretation of structures is necessary to find correlation in the structure-property
    relationship, which can be accomplished using the Betti numbers, βi. In the case
    of a two-dimensional (2D) structure image, the essential structure information,
    such as connectivity components and 1D holes, can be extracted and represented
    by β0 and β1, respectively. Via STEM images, we previously showed that the connectivity
    of the CeO2 phase, β0, plays an important role in the oxygen ionic transportation
    of Pt/CeO2 composites. However, this dependence does not work for the network
    structure, because isolated CeO2 phases might be connected three-dimensionally.
    Therefore, 3D structural analysis is necessary for network structures to verify
    the relationship between the CeO2 connectivity and ionic conductivity.
  description_type: abstract
  lang: und

## Creator

- name: Yu Wen
  role: author
- name: Ayako Hashimoto
  role: author
  orcid: https://orcid.org/0000-0002-1985-7667
  organization: National Institute for Materials Science
- name: Akihiko Hirata
  role: author
- name: Hideki Abe
  role: author
  orcid: https://orcid.org/0000-0002-8392-7586
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Oxford University Press (OUP)

## Managing organization



## Keyword

- subject: Betti number
  schema: not_defined
- subject: Metal-oxide nanocomposite
  schema: not_defined
- subject: STEM tomography
  schema: not_defined
- subject: Ionic conductivity
  schema: not_defined

## Rights

- description: 'This is a pre-copyedited, author-produced version of an article accepted
    for publication in Microscopy and Microanalysis following peer review. The version
    of record [Yu Wen, Ayako Hashimoto, Akihiko Hirata, Hideki Abe, Quantitative analysis
    of 3D structures in metal-oxide composites, Microscopy and Microanalysis, Volume
    27, Issue S1, 1 August 2021, Pages 2974–2975 is available online at: https://doi.org/10.1017/S1431927621010345.'
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2021-08-01
end_date: 2022-02-01

## Journal

- title: Microscopy and Microanalysis
  issn: '14319276'
  volume: '27'
  issue: S1
  start_page: 2974
  end_page: 2975

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 60fc55b9-21c2-4410-bf96-282993dec237
  filename: 21-Wen-MicroscopyandMicrosnalysis-27-2974(Proceeding).pdf
  content_type: application/pdf
  size: 267595
  md5: 57a8d0085270c0c761f580e7ebed20e5

## Thumbnail

fileset_id: 60fc55b9-21c2-4410-bf96-282993dec237
filename: 21-Wen-MicroscopyandMicrosnalysis-27-2974(Proceeding).pdf