Automatic hydrogen clathrate recognition neural networks for high-pressure superconductor prediction
Abstract
A neural network automatically recognizes hydrogen clathrate structures and predicts the critical temperature of hydrogen-containing superconductors across a broad pressure range.
Fields of Study & Subjects
Machine Learning in Materials Science
High-pressure geophysics and materials
Cold Fusion and Nuclear Reactions
Publication details
- Journal / source
- Journal of Materials Chemistry C
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 14
- Issue
- 15
- Pages
- 6232–6239
- Publication date
- 1 January 2026
- Language
- EN