# Synthesis of Electrochromic Supramolecular Polymers Driven by Data Science

https://mdr.nims.go.jp/datasets/c49ce2f9-7da6-43c4-b1cf-0942b61c473d

## File

- [IDW24_EP5-02_Synthesis of Electrochromic Supramolecular Polymers Driven by Data Science.pdf](https://mdr.nims.go.jp/filesets/ec047b6e-0598-4bbb-9677-096d6f8bc0d2/download) ([Detail](https://mdr.nims.go.jp/filesets/ec047b6e-0598-4bbb-9677-096d6f8bc0d2.md))

## Id

c49ce2f9-7da6-43c4-b1cf-0942b61c473d

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-12-25T06:18:20.558402Z

## Updated at

2025-05-31T23:30:20.553438Z

## Published at

2025-05-31T23:24:32.110153Z

## Doi



## First published url

https://pub.confit.atlas.jp/en/event/idw2024

## Date published



## Recorded date published

2024年

## Resource type

conference_paper

## Manuscript type

vor

## Collection



## Title

- title: Synthesis of Electrochromic Supramolecular Polymers Driven by Data Science
  title_type: original
  lang: en

## Description

- description: "Materials informatics has recently garnered significant attention
    as a potent tool for the development of a wide array of functional materials.
    The successful integration of materials informatics into polymer design holds
    the promise of streamlining the synthesis of polymers with tailored properties,
    thereby enhancing efficiency and specificity in material engineering. Machine
    learning is a subset of artificial intelligence (AI), which involves algorithms
    learning from data to make predictions or decisions. The machine learning, especially
    Bayesian optimization method is widely used in materials science. \r\nIn this
    paper, we report our recent approach on the search of electrochromic (EC) metallo-supramolecular
    polymers (MSPs) with the help of materials informatics. Four components were selected
    among many components of MSPs. Among all the combination of the variations, the
    selected number of the corresponding MSPs according to an orthogonal table were
    synthesized. A coloration efficiency (CE) of 1281 cm2/C was obtained compared
    to our previous work. We found that this method with statistics was useful to
    find the polymers with better EC properties quickly."
  description_type: abstract
  lang: en

## Creator

- name: Aiwei Zhao
  role: author
  orcid: https://orcid.org/0009-0000-3322-2476
  organization: National Institute for Materials Science / Graduate School of Information
    Science and Technology
  department: 高分子・バイオ材料研究センター/高分子材料分野/電子機能高分子グループ
- name: Dines Chandra Santra
  role: author
  organization: National Institute for Materials Science
  department: 高分子・バイオ材料研究センター/高分子材料分野/電子機能高分子グループ
- name: Kenji Nagata
  role: author
  orcid: https://orcid.org/0000-0001-9894-4461
  organization: National Institute for Materials Science
  department: マテリアル基盤研究センター/材料設計分野/データ駆動型材料設計グループ
  ror: https://ror.org/026v1ze26
- name: Junya Sakurai
  role: author
  organization: National Institute for Materials Science
  department: 技術開発・共用部門/材料データプラットフォーム/データ活用ユニット
- name: Masahiko Demura
  role: author
  orcid: https://orcid.org/0000-0002-7308-3041
  organization: National Institute for Materials Science
  department: 外部連携部門/構造材料DXマテリアルズオープンプラットフォーム
  ror: https://ror.org/026v1ze26
- name: Masayoshi Higuchi
  role: author
  orcid: https://orcid.org/0000-0001-9877-1134
  organization: National Institute for Materials Science / Graduate School of Information
    Science and Technology
  department: 高分子・バイオ材料研究センター/高分子材料分野/電子機能高分子グループ

## Contact agent



## Publisher

organization: International Display Workshops General Incorporated Association

## Managing organization



## Keyword

- subject: electrochromic
  schema: not_defined
- subject: coloration efficiency
  schema: not_defined
- subject: data-science
  schema: not_defined

## Rights

- description: "©The Institute of Image Information and Television Engineers and The
    Society for Information Display"
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-12-25
end_date: 2025-06-01

## Journal

- title: PROCEEDINGS OF THE INTERNATIONAL DISPLAY WORKSHOPS
  issn: '18832490'
  volume: '31'
  start_page: 1050
  end_page: 1052

## Conference

name: IDW'24
start_date: 2024-12-04
end_date: 2024-12-06
identifier: https://pub.confit.atlas.jp/en/event/idw2024

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## Fileset

- id: ec047b6e-0598-4bbb-9677-096d6f8bc0d2
  filename: IDW24_EP5-02_Synthesis of Electrochromic Supramolecular Polymers Driven
    by Data Science.pdf
  content_type: application/pdf
  size: 875735
  md5: 4b609b97b806543a3e00920049ff374c

## Thumbnail

fileset_id: ec047b6e-0598-4bbb-9677-096d6f8bc0d2
filename: IDW24_EP5-02_Synthesis of Electrochromic Supramolecular Polymers Driven
  by Data Science.pdf