# Linking structure and process in dendritic growth using persistent homology with energy analysis

https://mdr.nims.go.jp/datasets/1c17a37f-5404-46c7-a61d-4a6f545fcc34

## File

- [Linking structure and process in dendritic growth using persistent homology with energy analysis.pdf](https://mdr.nims.go.jp/filesets/67df558b-8d67-47f3-b23b-726f7146b699/download) ([Detail](https://mdr.nims.go.jp/filesets/67df558b-8d67-47f3-b23b-726f7146b699.md))

## Id

1c17a37f-5404-46c7-a61d-4a6f545fcc34

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-03-11T04:49:14.037565Z

## Updated at

2025-07-18T01:20:37.474762Z

## Published at

2025-03-12T03:30:13.963885Z

## Doi

https://doi.org/10.48505/nims.5360

## First published url

https://doi.org/10.1080/27660400.2025.2475735

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Linking structure and process in dendritic growth using persistent homology
    with energy analysis
  title_type: original
  lang: en

## Description

- description: We present a material analysis method that links structure and process
    in dendritic growth using explainable machine learning approaches. We employed
    persistent homology (PH) to quantitatively characterize the morphology of dendritic
    microstructures. By using interpretable machine learning with energy analysis,
    we established a robust relationship between structural features and Gibbs free
    energy. Through a detailed analysis of how Gibbs free energy evolves with morphological
    changes in dendrites, we uncovered specific conditions that influence the branching
    of dendritic structures. Moreover, energy gradient analysis based on morphological
    feature provides a deeper understanding of the branching mechanisms and offers
    a pathway to optimize thin-film growth processes. Integrating topology and free
    energy enables the optimization of a range of materials from fundamental research
    to practical
  description_type: abstract
  lang: en

## Creator

- name: Misato Tone
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Shunsuke Sato
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Sotaro Kunii
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Ippei Obayashi
  role: author
  organization: Okayama University
  department: Center for Artificial Intelligence and Mathematical Data Science
- name: Yasuaki Hiraoka
  role: author
  organization: Kyoto University
  department: Kyoto University Institute for Advanced Study
- name: Yui Ogawa
  role: author
  organization: NTT Basic Research Laboratories, Atsugi
- name: Hirokazu Fukidome
  role: author
  organization: Tohoku University
  department: Research Institute of Electrical Communication
- name: Alexandre Lira Foggiatto
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Chiharu Mitsumata
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology, Graduate school of Pure
    and Applied Science, University of Tsukuba
- name: Ryunsuke Nagaoka
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Arpita Varadwaj
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology
- name: Iwao Matsuda
  role: author
  organization: The University of Tokyo, Kashiwa
  department: Institute for Solid State Physics
- name: Masato Kotsugi
  role: author
  organization: Tokyo University of Science
  department: Department of Material Science and Technology

## Contact agent



## Publisher

organization: Taylor & Francis

## Managing organization



## Keyword

- subject: structure-process linkage
  schema: not_defined
- subject: " persistent homology"
  schema: not_defined
- subject: dendrite growth
  schema: not_defined
- subject: interpretable machine learning
  schema: not_defined
- subject: free energy
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: 'Science and Technology of Advanced Materials: Methods'
  issn: '27660400'
  volume: '25'
  article_number: '2475735'

## 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



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## Custom property



## Fileset

- id: 67df558b-8d67-47f3-b23b-726f7146b699
  filename: Linking structure and process in dendritic growth using persistent homology
    with energy analysis.pdf
  content_type: application/pdf
  size: 4931680
  md5: fb85fc6b0a48b50ee921aa04f1682604

## Thumbnail

fileset_id: 67df558b-8d67-47f3-b23b-726f7146b699
filename: Linking structure and process in dendritic growth using persistent homology
  with energy analysis.pdf