Current Status and Future Perspective of the Utilization of Data Science Methods in the Development of Fabrication Processes for Superconducting Materials
The process informatics, which utilizes database constructed from process, computational simulation, measurement and structural analysis data, is a promising method for accelerating materials development. This review describes the currently utilized data science methods and future possibilities in the development of fabrication processes for superconducting materials, such as bulks and thin films, for targeted applications.
Authors
- Toshinori Ozaki (ORCID: https://orcid.org/0000-0003-3201-125X)
- Akiyasu Yamamoto (ORCID: https://orcid.org/0000-0001-6346-3422)
- Akimitsu Ishii (ORCID: https://orcid.org/0000-0002-9261-4047)
- Yusuke Shimada (ORCID: https://orcid.org/0000-0003-0348-2765)
Institutions
- Kyushu University (JP)
- National Institute for Materials Science (JP)
- Kwansei Gakuin University (JP)
- Tokyo University of Agriculture and Technology (JP)
Publication Details
- Journal
- IEEJ Transactions on Fundamentals and Materials
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1541/ieejfms.144.360
- Citations
- 1
- Primary Topic
- Advanced Materials Characterization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.18