Open access
621
Views
1
CrossRef citations to date
0
Altmetric
Materials data analysis and utilization
Experimental exploration of ErB2 and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design
Kensei Terashimaa Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, Tsukuba, Ibaraki, JapanCorrespondence[email protected]
https://orcid.org/0000-0003-0375-3043View further author information
, https://orcid.org/0000-0003-0375-3043View further author information
Pedro Baptista de Castroa Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, Tsukuba, Ibaraki, Japan;b Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0001-8673-2840View further author information
, Akiko Takahashi Saitoc Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0001-5920-5965View further author information
, Takafumi D Yamamotoa Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0002-7762-9670View further author information
, Ryo Matsumotoa Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0001-6294-5403View further author information
, Hiroyuki Takeyad Research Center for Energy and Environmental Materials (GREEN), National Institute for Materials Science, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0001-9445-4705View further author information
& Yoshihiko Takanoa Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science, Tsukuba, Ibaraki, Japan;b Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki, Japanhttps://orcid.org/0000-0002-1541-6928View further author information
show all
Article: 2217474
|
Received 17 Dec 2022, Accepted 12 May 2023, Published online: 21 Jun 2023
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article in part or whole.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.