# Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization

https://mdr.nims.go.jp/datasets/727f509a-0d15-4647-9f34-eacf613eed74

## File

- [Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization.pdf](https://mdr.nims.go.jp/filesets/0ebaa4b5-021a-4876-8646-ca557ce73c77/download) ([Detail](https://mdr.nims.go.jp/filesets/0ebaa4b5-021a-4876-8646-ca557ce73c77.md))

## Id

727f509a-0d15-4647-9f34-eacf613eed74

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-12-11T07:51:19.561865Z

## Updated at

2025-12-11T23:30:29.932799Z

## Published at

2025-12-11T23:24:06.723519Z

## Doi



## First published url

https://doi.org/10.1080/27660400.2025.2485025

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Efficient discovery of large magnetic anisotropy with thermodynamically stable
    materials via multi-objective Bayesian optimization
  title_type: original
  lang: en

## Description

- description: " This study presents an efficient magnetic material exploring method
    with large magnetocrystalline anisotropy (MCA) and thermodynamic stability by
    combining multi-objective Bayesian optimization (MBO) with first principles calculations. "
  description_type: abstract
  lang: und

## Creator

- name: Kohei Nakamura
  role: author
- name: Daigo Furuya
  role: author
- name: Yoshio Miura
  role: author
  orcid: https://orcid.org/0000-0002-5605-5452
  organization: National Institute for Materials Science
- name: Takahiro Yamazaki
  role: author
- name: Alexandre Lira Foggiatto
  role: author
- name: Yuma Iwasaki
  role: author
  orcid: https://orcid.org/0000-0002-7117-277X
  organization: National Institute for Materials Science
- name: Masato Kotsugi
  role: author

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: materials informatics
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/
  date_licensed: 2025-04-22

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: 'Science and Technology of Advanced Materials: Methods'
  issn: '27660400'
  volume: '5'
  issue: '1'
  article_number: '2485025'

## Conference



## Related item



## Funding

- identifier: JPMJCR21O1
  funder_name: Japan Science and Technology Agency
- identifier: 21H04656
  funder_name: Japan Society for the Promotion of Science

## 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



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## Fileset

- id: 0ebaa4b5-021a-4876-8646-ca557ce73c77
  filename: Efficient discovery of large magnetic anisotropy with thermodynamically
    stable materials via multi-objective Bayesian optimization.pdf
  content_type: application/pdf
  size: 8478504
  md5: 96879ec30deca5e9656ec81533622635

## Thumbnail

fileset_id: 0ebaa4b5-021a-4876-8646-ca557ce73c77
filename: Efficient discovery of large magnetic anisotropy with thermodynamically
  stable materials via multi-objective Bayesian optimization.pdf