A novel machine learning approach and experimental framework for predicting and validating the electrochemical supercapacitor electrode performance of MnO2 nanorods

View at publisher
Authors: Aditya Vasistha, Rungsima Yeetsorn, Yashvir Kalkal, Surender Kumar Sharma, Pankaj Koinkar, Gaurav Kumar Yogesh, Chandni Devi
Cited by: 2
References: 56

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