Charting the Landscape of Oxygen Ion Conductors: A 60-Year Dataset with Interpretable Regression Models
and A suggest that oxygen ion transport is primarily governed by local coordination environment and the electrostatic interactions, respectively. This dataset establishes a reliable foundation for data-driven discovery and predictive modeling of next-generation oxygen ion conductors.
Authors
- Hitoshi Takamura (ORCID: https://orcid.org/0000-0002-4841-4582)
- Shin Kiyohara (ORCID: https://orcid.org/0000-0003-2890-5760)
- Seong‐Hoon Jang (ORCID: https://orcid.org/0000-0001-6026-636X)
- Yu Kumagai (ORCID: https://orcid.org/0000-0003-0489-8148)
Institutions
- Tohoku University (JP)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1038/s41597-026-07100-x
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Tokyo
- Japan Science and Technology Agency