# Artificial intelligence inspired design of non-isothermal aging for γ–γ′ two-phase, Ni–Al alloys

https://mdr.nims.go.jp/datasets/3cb20d46-e3b5-4c82-aad7-aedcb7cfbf9e

## File

- [full_text-8.pdf](https://mdr.nims.go.jp/filesets/eaa682fb-8a53-4b8b-b4f6-d80c7f6758c2/download) ([Detail](https://mdr.nims.go.jp/filesets/eaa682fb-8a53-4b8b-b4f6-d80c7f6758c2.md))

## Id

3cb20d46-e3b5-4c82-aad7-aedcb7cfbf9e

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-08-08T01:14:14.331534Z

## Updated at

2024-01-05T13:11:54.408257Z

## Published at

2023-08-09T04:30:18.492038Z

## Doi



## First published url

https://doi.org/10.1038/s41598-023-39589-2

## Date published

2023-08-04

## Recorded date published



## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Artificial intelligence inspired design of non-isothermal aging for γ–γ′
    two-phase, Ni–Al alloys
  title_type: original
  lang: en

## Description

- description: 最先端のAIアルゴリズムを活用して，ニッケル基合金において，高温強度をより高くするための時効熱処理を考案した．これまでは等温時効が一般であったところを昇温や降温を含めた複雑な時効熱処理パターンの膨大組み合わせ（約35億通り）から，等温時効を凌駕するパターンを見出すことに挑戦した．その結果，1620回の試行から110個の優れた熱処理パターンを見出すことに成功した．さらに，AIが発見したトップ5のパターンの解析から，高温短時間と低温長時間を組み合わせる新しい二段時効の考え方を導き，これがAIの探索結果を凌駕することを確認した．これらの結果は，AIと専門家の共同によって，新しいプロセス方法を開発できる可能性を示唆している．
  description_type: abstract
  lang: eng

## Creator

- name: Vickey Nandal
  role: author
  orcid: https://orcid.org/0000-0002-6155-6630
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Sae Dieb
  role: author
  orcid: https://orcid.org/0000-0002-8111-2009
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Dmitry S. Bulgarevich
  role: author
  orcid: https://orcid.org/0000-0002-7086-8396
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Toshio Osada
  role: author
  orcid: https://orcid.org/0000-0003-1539-9264
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Toshiyuki Koyama
  role: author
- name: Satoshi Minamoto
  role: author
  orcid: https://orcid.org/0000-0003-4023-5800
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Masahiko Demura
  role: author
  orcid: https://orcid.org/0000-0002-7308-3041
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Springer Science and Business Media LLC

## Managing organization



## Keyword

- subject: Artificial Intelligence
  schema: not_defined
- subject: non-isothermal aging
  schema: not_defined
- subject: Gamma and Gamma' two-phase microstructure
  schema: not_defined
- subject: Ni-Al alloy
  schema: not_defined
- subject: Heat resistant alloys
  schema: not_defined
- subject: Inverse design
  schema: not_defined
- subject: High-temperature strength
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Scientific Reports
  issn: '20452322'
  volume: '13'
  issue: '1'
  start_page: 12660
  end_page: 12660

## Conference



## Related item



## Funding

- identifier: JPMXP1122714694
  funder_name: 文部科学省
  description: データ創出・活用型マテリアル研究開発プロジェクト事業 Data Creation and Utilization-Type Material
    Research and Development Project
- funder_name: 科学技術振興機構
  description: 内閣府戦略的イノベーション創造プログラム（SIP）「革新的構造材料」及び「統合型材料開発システムによるマテリアル革命」

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## Chemical composition



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  content_type: application/pdf
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## Thumbnail

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