Recent advances in carbon-based materials for supercapacitors: synthesis, electrochemical properties, and impact of machine learning

Key Points

• This research aims to explore the synthesis and performance of carbon-based materials in supercapacitors, along with machine learning applications.
• Review of recent literature on carbon-based materials for supercapacitors
• Analysis of electrochemical properties of synthesized materials
• Integration of machine learning techniques for performance optimization
• Identification of improved electrochemical properties in advanced carbon materials
• Demonstration of machine learning's role in optimizing material performance
• Highlighting the potential of carbon-based materials for future energy storage solutions