It takes two to tango: How to perform coordinated pair dances in cranes?
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Oct-2026 15:15 ET (25-Oct-2026 19:15 GMT/UTC)
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can be extended to reveal how atomic arrangements influence other material properties, paving the way for more efficient materials design.