Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset

Kazuaki Tokuyama, Souta Miyamoto, Taichi Masuda, Katsuaki Tanabe

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DOI: 10.1063/5.0319573
Published: 2025-12-23T10:40:50Z
Container: APL Mach. Learn. 4, 026109 (2026)
Publisher: arXiv
Open access: yes

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BibTeX

@article{allodium:10.1063/5.0319573,
  title = {Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset},
  author = {Kazuaki Tokuyama and Souta Miyamoto and Taichi Masuda and Katsuaki Tanabe},
  year = {2025},
  journal = {APL Mach. Learn. 4, 026109 (2026)},
  doi = {10.1063/5.0319573},
  url = {https://doi.org/10.1063/5.0319573}
}

RIS

TY  - JOUR
TI  - Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset
AU  - Kazuaki Tokuyama
AU  - Souta Miyamoto
AU  - Taichi Masuda
AU  - Katsuaki Tanabe
PY  - 2025
JO  - APL Mach. Learn. 4, 026109 (2026)
DO  - 10.1063/5.0319573
UR  - https://doi.org/10.1063/5.0319573
ER  -

APA

Tokuyama, K., Miyamoto, S., Masuda, T., & Tanabe, K. (2025). Composition-Based Machine Learning for Screening Superconducting Ternary Hydrides from a Curated Dataset. APL Mach. Learn. 4, 026109 (2026). https://doi.org/10.1063/5.0319573

Source records

arxiv · retrieved 2026-09-26T05:56:59.933Z