Compositionally-informed machine learning for solid-state electrolyte design: a structure-free approach
Abstract
). This structure-free CI-ML approach provides a generalizable pathway to overcome the structural-dependency bottleneck, paving the way for accelerated early-stage discovery of SSEs as well as other functional materials.
Fields of Study & Subjects
Machine Learning in Materials Science
Advanced Battery Materials and Technologies
Inorganic Chemistry and Materials
Publication details
- Journal / source
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 18
- Issue
- 28
- Pages
- 14835–14843
- Publication date
- 1 January 2026
- Language
- EN