A novel machine learning approach and experimental framework for predicting and validating the electrochemical supercapacitor electrode performance of MnO2 nanorods
Fields of Study & Subjects
Supercapacitor Materials and Fabrication
Machine Learning in Materials Science
Nanoporous metals and alloys
Publication details
- Journal / source
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Volume
- 162
- Pages
- 121921–121921
- Publication date
- 7 April 2026
- Language
- EN