# Classification for transmission electron microscope images from different amorphous states using persistent homology

https://mdr.nims.go.jp/datasets/c906f5c4-7e26-475c-8477-f6e6840503ea

## File

- [dfac008.pdf](https://mdr.nims.go.jp/filesets/5644c82c-3dbc-40cd-a7ea-8a2b77c54ea2/download) ([Detail](https://mdr.nims.go.jp/filesets/5644c82c-3dbc-40cd-a7ea-8a2b77c54ea2.md))

## Id

c906f5c4-7e26-475c-8477-f6e6840503ea

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-07-01T02:58:17.393602Z

## Updated at

2024-07-04T07:32:11.070873Z

## Published at

2024-07-04T07:32:11.139991Z

## Doi



## First published url

https://doi.org/10.1093/jmicro/dfac008

## Date published

2022-06-06

## Recorded date published

2022-6-6

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Classification for transmission electron microscope images from different
    amorphous states using persistent homology
  title_type: original
  lang: en

## Description

- description: アモルファスと液体状態のTEM像を種々のフォーカスでシミュレーションによって作成し、それらをパーシステントホモロジーと機械学習を用いて識別可能か検討を行った。その結果、実効的なフォーカス範囲において正答率が85%以上であったことを報告する。
  description_type: abstract
  lang: und

## Creator

- name: Fumihiko Uesugi
  role: author
  orcid: https://orcid.org/0000-0003-3346-4218
  organization: National Institute for Materials Science
- name: Masashi Ishii
  role: author
  orcid: https://orcid.org/0000-0003-0357-2832
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Oxford University Press (OUP)

## Managing organization



## Keyword

- subject: TEM image simulation
  schema: not_defined
- subject: GaN
  schema: not_defined
- subject: persistent homology
  schema: not_defined
- subject: Amorphous structure
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Microscopy
  issn: '00220744'
  volume: '71'
  issue: '3'
  start_page: 161
  end_page: 168

## Conference



## Related item



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## 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



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## Fileset

- id: 5644c82c-3dbc-40cd-a7ea-8a2b77c54ea2
  filename: dfac008.pdf
  content_type: application/pdf
  size: 4920010
  md5: ffeae48b2c435ed6440a4948cb9e543c

## Thumbnail

fileset_id: 5644c82c-3dbc-40cd-a7ea-8a2b77c54ea2
filename: dfac008.pdf