# Structural Insights into Thermal Conductivity of Amorphous Germanium Using Topological Data Analysis

https://mdr.nims.go.jp/datasets/a9986669-e61f-4a8e-b621-e70b624eac95

## File

- [Abstract＿2024＿応用物理秋_final.pdf](https://mdr.nims.go.jp/filesets/f0f8419e-1a2d-49db-81f1-7eb7117284ef/download) ([Detail](https://mdr.nims.go.jp/filesets/f0f8419e-1a2d-49db-81f1-7eb7117284ef.md))

## Id

a9986669-e61f-4a8e-b621-e70b624eac95

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-10-02T08:23:41.433734Z

## Updated at

2024-10-03T23:30:22.721211Z

## Published at

2024-10-03T23:30:22.827265Z

## Doi

https://doi.org/10.48505/nims.4800

## First published url



## Date published



## Recorded date published



## Resource type

conference_presentation

## Manuscript type

na

## Collection



## Title

- title: 熱伝導率が異なるアモルファス材料の構造的要因の トポロジカルデータ解析による解明
  title_type: alternative
  lang: ja
- title: Structural Insights into Thermal Conductivity of Amorphous Germanium Using
    Topological Data Analysis
  title_type: original
  lang: en

## Description

- description: "Due to their thermal properties, amorphous materials are attracting
    increasing attention for industrial use. Compared to crystalline materials, amorphous
    materials exhibit distinct thermal and lattice vibration properties because of
    lack of periodicity. However, analyzing atomic networks in the transmission electron
    microscopy (TEM) images of amorphous materials is challenging.\r\nIn this study,
    we applied topological data analysis (TDA) to detect a hidden order in TEM images
    referring to the atomic arrangements obtained by molecular dynamics simulations
    of amorphous germanium (a-Ge) and characterized the structural factors influencing
    the thermal conductivity of a-Ge based on principal component analysis (PCA).
    Our findings indicate that larger atomic rings, formed at higher deposition temperatures,
    significantly enhance thermal conductivity by facilitating heat transfer.\r\nBy
    utilizing data science, this study quantitatively distinguishes and characterizes
    previously difficult-to-identify structural factors in amorphous materials. This
    method introduces a new approach for incorporating metastable phases into the
    development of thermal insulators and thermoelectric materials. Our results suggest
    that manipulating atomic networks through controlled deposition processes can
    optimize the thermal performance of amorphous materials, opening new avenues for
    material innovation."
  description_type: abstract
  lang: eng

## Creator

- name: Wu YenJu
  role: author
  orcid: https://orcid.org/0000-0003-2647-3407
  organization: National Institute for Materials Science
  department: Center for Basic Research on Materials/Data-driven Materials Research
    Field/Data-driven Inorganic Materials Group
  ror: https://ror.org/026v1ze26
- name: Akagi Kazuto
  role: author
  organization: WPI-Advanced Institute for Materials Research (AIMR), Tohoku University
- name: Goto Masahiro
  role: author
  orcid: https://orcid.org/0000-0002-1003-2781
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Nanomaterials
    Field/Thermal Energy Materials Group
  ror: https://ror.org/026v1ze26
- name: Xu Yibin
  role: author
  orcid: https://orcid.org/0000-0001-8600-8748
  organization: National Institute for Materials Science
  department: Center for Basic Research on Materials/Data-driven Materials Research
    Field/Data-driven Inorganic Materials Group
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher



## Managing organization



## Keyword

- subject: topological data analysis, amorphous, thermal conductivity, inverse analysis
  schema: not_defined

## Rights

- identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal



## Conference

name: 第８５回応用物理学会　秋季学術講演会
start_date: 2024-09-16
end_date: 2024-09-20
identifier: https://meeting.jsap.or.jp/

## 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: f0f8419e-1a2d-49db-81f1-7eb7117284ef
  filename: Abstract＿2024＿応用物理秋_final.pdf
  content_type: application/pdf
  size: 261985
  md5: 18d997cfc9553521c32e8921fb3cfe07

## Thumbnail

fileset_id: f0f8419e-1a2d-49db-81f1-7eb7117284ef
filename: Abstract＿2024＿応用物理秋_final.pdf