# Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics

https://mdr.nims.go.jp/datasets/c8aabae9-426a-4fcd-a480-6826b1d5016a

## File

- [2205.00829.pdf](https://mdr.nims.go.jp/filesets/85cb5426-63ac-4313-84b5-61105fe94f95/download) ([Detail](https://mdr.nims.go.jp/filesets/85cb5426-63ac-4313-84b5-61105fe94f95.md))

## Id

c8aabae9-426a-4fcd-a480-6826b1d5016a

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-02-07T02:20:40.069891Z

## Updated at

2024-03-22T01:53:31.340600Z

## Published at

2023-02-08T02:09:22.457391Z

## Doi

https://doi.org/10.48505/nims.3860

## First published url

https://doi.org/10.48550/arXiv.2205.00829

## Date published



## Recorded date published



## Resource type

report

## Manuscript type

na

## Collection



## Title

- title: Function Decomposition Tree with Causality-First Perspective and Systematic
    Description of Problems in Materials Informatics
  title_type: original
  lang: en

## Description

- description: "As interdisciplinary science is flourishing because of materials informatics
    and additional factors; a systematic way is required for expressing knowledge
    and facilitating communication between scientists in various fields. A function
    decomposition tree is such a representation, but domain scientists face difficulty
    in constructing it. Thus, this study cites the general problems encountered by
    beginners in generating function decomposition trees and proposes a new function
    decomposition representation method based on a causality-first perspective for
    resolution of these problems. The causality-first decomposition tree was obtained
    from a workflow expressed according to the processing sequence. Moreover, we developed
    a program that performed automatic conversion using the features of the causality-first
    decomposition trees. The proposed method was applied to materials informatics
    to demonstrate the systematic representation of expert knowledge and its usefullness.\r\n"
  description_type: abstract
  lang: eng

## Creator

- name: Hiori Kino
  role: author
  orcid: https://orcid.org/0000-0002-8912-686X
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Hieu Chi Dam
  role: author
- name: Takashi Miyake
  role: author
- name: Riichiro Mizoguchi
  role: author

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## Keyword

- subject: functional decomposition
  schema: not_defined
- subject: materials informatics
  schema: not_defined
- subject: ontology
  schema: not_defined
- subject: knowledge sharing
  schema: not_defined

## Rights

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

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- data_origin_type: other

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## Funding

- identifier: '12016013'
  funder_name: MEXT ESICMM
- identifier: the Program for Pro- moting Research on the Supercomputer Fugaku (DPMSD)
  funder_name: MEXT
- identifier: Development of Materials Design Workflow and Data Library for Materials
    Foundry
  funder_name: JST-Mirai Program
- identifier: JPMJMI18G5
  funder_name: JST
- identifier: JPMJMI21G2
  funder_name: JST
- identifier: 20K05311
  funder_name: 'JSPS KAKENHI '
- identifier: JP19H05815
  funder_name: 'JSPS KAKENHI '
- identifier: 20K05068
  funder_name: 'JSPS KAKENHI '
- identifier: JP21H01375
  funder_name: 'JSPS KAKENHI '

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## Fileset

- id: 85cb5426-63ac-4313-84b5-61105fe94f95
  filename: 2205.00829.pdf
  content_type: application/pdf
  size: 825928
  md5: 1ff719924525925c6fa1ccbfc41d3477

## Thumbnail

fileset_id: 85cb5426-63ac-4313-84b5-61105fe94f95
filename: 2205.00829.pdf