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Machine learning-driven optimization of biochar-based supercapacitors for sustainable energy storage: Mechanisms, trends, and perspectives

Global transition toward sustainable and efficient energy storage has intensified research into supercapacitors, valued for their rapid charge-discharge capability, high power density, and long operational lifespan. Among carbonaceous materials, biomass-derived biochar has emerged as a low-cost, ren...

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Principais autores: Fatima Sajjad, Rashid Iftikhar, Muhammad Ali Inam, Saifullah Zadran, Salman Haider, Sahar Saleem, Humayun Nadeem, Alim-un-Nisa
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-04-01
Serier:Next Materials
Fag:
Carbon electrode modification
Heteroatom doping
Nanocomposite engineering
Predictive modeling
Electrochemical energy storage
Online adgang:http://www.sciencedirect.com/science/article/pii/S2949822826003886
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