# Machine learning driven exploration of hydride superconductors at ambient pressure

Article · Paulo R. Pires, Thalis H. B. da Silva, Kun Gao, Kaja H. Hiorth, Tiago F. T. Cerqueira, Théo Cavignac, Pierre-Paul De Breuck, Hai‐Chen Wang, Đorđe Dangić, Yue‐Wen Fang, Antonio Sanna, Wenwen Cui, Ion Errea, Päivi Törmä, Miguel A. L. Marques

- Archive id: doi:10.1016/j.commt.2026.100052
- Published: 2026-03-11
- Venue: Computational Materials Today
- DOI: https://doi.org/10.1016/j.commt.2026.100052
- Citations: 2
- Source URL: https://doi.org/10.1016/j.commt.2026.100052
- Provenance: openalex

_Abstract not reproduced: its license does not permit redistribution. See the source URL._

Topics: [Computational & AI-Driven Superconductor Discovery](https://space-kitty.com/topics/superconductor-discovery)

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