Machine-learning-assisted discovery of lattice dynamics signatures of sodium superionic conductors

Key Points

• A strong connection between lattice dynamics and ionic transport is established, revealing key dynamics signatures.
• The analysis includes 921 sodium superionic conductors, providing a comprehensive overview of their properties.
• Observational data is derived from machine learning methods to uncover patterns in lattice dynamics.
• Findings may enhance the understanding of ionic conductivity in these materials, informing future research directions.