# AI-driven Search for OER Electrocatalysts without Platinum Group Elements

https://mdr.nims.go.jp/datasets/0d6f533e-ad0c-44a2-8912-40987d66caf1

## File

- [20241011_特集用-田村坂牛.pdf](https://mdr.nims.go.jp/filesets/aef95258-f34f-4167-920f-f3b57e2ab18d/download) ([Detail](https://mdr.nims.go.jp/filesets/aef95258-f34f-4167-920f-f3b57e2ab18d.md))

## Id

0d6f533e-ad0c-44a2-8912-40987d66caf1

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-05-22T06:45:39.003339Z

## Updated at

2025-05-22T23:30:07.788008Z

## Published at

2025-05-22T23:24:32.367353Z

## Doi

https://doi.org/10.48505/nims.5498

## First published url

https://doi.org/10.5796/denkikagaku.25-fe0101

## Date published

2025-03-05

## Recorded date published

2025

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: AI-driven Search for OER Electrocatalysts without Platinum Group Elements
  title_type: original
  lang: en
- title: AI駆動による白金族元素を使用しないOER電極触媒探索
  title_type: alternative
  lang: ja

## Description

- description: ベイズ最適化をどのように化学実験に適用するかを議論する．続いて，ベイズ最適化を利用した水電解装置用の電極触媒探索結果を紹介する．さらに，電極触媒探索では，研究者の
    “気づき” を元に AI 手法に改良を加えることで，より電気化学特性の高い電極触媒の発見に繋がった．この工夫について紹介し，研究者と AIの密接な連携がどのように化学研究の発展に寄与していくかを議論したい．
  description_type: abstract
  lang: und

## Creator

- name: Ryo TAMURA
  role: author
  orcid: https://orcid.org/0000-0002-0349-358X
- name: Ken SAKAUSHI
  role: author
  orcid: https://orcid.org/0000-0003-4797-9087

## Contact agent



## Publisher

organization: The Electrochemical Society of Japan

## Managing organization



## Keyword

- subject: 水電解
  schema: not_defined
- subject: 機械学習
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Denki Kagaku
  issn: '24333255'
  volume: '93'
  issue: '1'
  article_number: 25-FE0101

## 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



## Software



## Custom property



## Fileset

- id: aef95258-f34f-4167-920f-f3b57e2ab18d
  filename: 20241011_特集用-田村坂牛.pdf
  content_type: application/pdf
  size: 1896057
  md5: e0e89c21b260766ebd09551e2dcc3bf1

## Thumbnail

fileset_id: aef95258-f34f-4167-920f-f3b57e2ab18d
filename: 20241011_特集用-田村坂牛.pdf