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

Kazuaki Tokuyama, Souta Miyamoto, Taichi Masuda +1

We present an ensemble machine-learning approach for composition-based, structure-agnostic screening of candidate superconductors among ternary hydrides under high pressure. Hydrog…