Optimal Metal Pairs in g-C3N4 for Streamlined Li-S Batteries Towards Theoretical Capacitance Limits and Data-Restructured FIR-LSTM Networks for Long-Term Predictions Across Diverse Batteries
Fields of Study & Subjects
Advanced Battery Materials and Technologies
Advancements in Battery Materials
Battery Modeling and Management
Publication details
- Journal / source
- SSRN Electronic Journal
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint