# Data-Driven Development of Magnetic Materials

https://mdr.nims.go.jp/datasets/27777e56-4881-46e7-b0b5-189bc37a382a

## File

- [manuscript.docx](https://mdr.nims.go.jp/filesets/b45070c6-6b6f-46a4-902c-6725d13e886b/download) ([Detail](https://mdr.nims.go.jp/filesets/b45070c6-6b6f-46a4-902c-6725d13e886b.md))

## Id

27777e56-4881-46e7-b0b5-189bc37a382a

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-10-13T04:52:18.059370Z

## Updated at

2024-10-16T07:30:20.382482Z

## Published at

2024-10-16T07:30:21.556883Z

## Doi

https://doi.org/10.48505/nims.4852

## First published url



## Date published



## Recorded date published



## Resource type

conference_presentation

## Manuscript type

na

## Collection



## Title

- title: Data-Driven Development of Magnetic Materials
  title_type: original
  lang: en

## Description

- description: 'The concept of material informatics is becoming more advanced and
    prospective in research on magnetic materials. This can be evidenced by several
    successful recent studies utilizing different tools of machine learning and demonstrating
    new opportunities in the field of permanent magnets, magnetocaloric materials,
    and magnetic recording in hard disk drives. This trend is also promoted by the
    intensive accumulation of scientific data, growth of computational performance
    and the progress with algorithms. This report presents our recent progress on
    implementing machine learning into two different studies: the development of rare-earth
    free Fe2P-type magnetocaloric compounds for cryogenic applications, and high-throughput
    characterization of FePt granular media for heat-assisted magnetic recording.'
  description_type: abstract
  lang: eng

## Creator

- name: BOLYACHKIN Anton
  role: author
  orcid: https://orcid.org/0000-0003-0420-1806
  organization: National Institute for Materials Science
  department: Global Networking Division/International Center for Young Scientists
  ror: https://ror.org/026v1ze26
- name: SEPEHRI AMIN Hossein
  role: author
  orcid: https://orcid.org/0000-0002-7856-7897
  organization: National Institute for Materials Science
  department: Research Center for Magnetic and Spintronic Materials/Magnetic Materials
    Analysis Group
  ror: https://ror.org/026v1ze26
- name: OHKUBO Tadakatsu
  role: author
  orcid: https://orcid.org/0000-0003-3548-1951
  organization: National Institute for Materials Science
  department: Research Center for Magnetic and Spintronic Materials
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher



## Managing organization



## Keyword

- subject: Nd-Fe-B magnets
  schema: not_defined
- subject: Magnetocaloric materials
  schema: not_defined
- subject: Magnetic recodring
  schema: not_defined
- subject: Machine learning
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal



## Conference

name: The 238th Topical Symposium of the Magnetics Society of Japan
start_date: 2022-10-25
end_date: 2022-10-25
identifier: https://www.magnetics.jp/en/seminar/238/

## 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: b45070c6-6b6f-46a4-902c-6725d13e886b
  filename: manuscript.docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 389956
  md5: 91edb6b624ffa0ace43231c0355474aa

## Thumbnail

fileset_id: b45070c6-6b6f-46a4-902c-6725d13e886b
filename: manuscript.docx