# Autonomous materials search using machine learning and ab initio calculations for L1            <sub>0</sub>            -FePt-based quaternary alloys

https://mdr.nims.go.jp/datasets/a0650126-4aba-4eb5-a101-05ade7ca89ef

## File

- [Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf](https://mdr.nims.go.jp/filesets/297b58df-f970-40e8-82f6-5dce881c3f8a/download) ([Detail](https://mdr.nims.go.jp/filesets/297b58df-f970-40e8-82f6-5dce881c3f8a.md))

## Id

a0650126-4aba-4eb5-a101-05ade7ca89ef

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-11-11T12:24:09.824159Z

## Updated at

2025-12-25T06:02:29.229136Z

## Published at

2025-12-25T07:19:27.140470Z

## Doi



## First published url

https://doi.org/10.1080/27660400.2025.2470114

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Autonomous materials search using machine learning and ab initio calculations
    for L1            <sub>0</sub>            -FePt-based quaternary alloys
  title_type: original
  lang: en

## Description

- description: 'In this study, we present a simulation-based autonomous search method
    aimed at identifying quaternary L10 alloys with enhanced M and EMCA values. '
  description_type: abstract
  lang: und

## Creator

- name: Yuma Iwasaki
  role: author
  orcid: https://orcid.org/0000-0002-7117-277X
  organization: National Institute for Materials Science
- name: Daisuke Ogawa
  role: author
  orcid: https://orcid.org/0000-0002-4373-6435
  organization: National Institute for Materials Science
- name: Masato Kotsugi
  role: author
- name: Yukiko K. Takahashi
  role: author
  orcid: https://orcid.org/0000-0001-9197-7236
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: Machine learning
  schema: not_defined
- subject: Autonomous
  schema: not_defined

## Rights

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

## 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'
  start_page: 2470114
  end_page: 2470114
  article_number: '2470114'

## Conference



## Related item



## Funding

- identifier: JPMXP1122715503
  funder_name: Research and Development

## 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: 297b58df-f970-40e8-82f6-5dce881c3f8a
  filename: Autonomous materials search using machine learning and ab initio calculations
    for L10-FePt-based quaternary alloys (1).pdf
  content_type: application/pdf
  size: 7095086
  md5: 0db208c956c759c8109ace73623aee7e

## Thumbnail

fileset_id: 297b58df-f970-40e8-82f6-5dce881c3f8a
filename: Autonomous materials search using machine learning and ab initio calculations
  for L10-FePt-based quaternary alloys (1).pdf