About this Research Topic
Carbon nanotubes (CNTs) have garnered significant interest in recent years due to their unique properties and potential applications in various fields, particularly in energy storage and conversion devices. CNTs are cylindrical nanostructures composed of carbon atoms arranged in a hexagonal lattice, offering exceptional mechanical strength, high electrical conductivity, and thermal stability. These properties make them promising candidates for enhancing the performance of energy storage and conversion technologies.
Their high surface area-to-volume ratio provides ample sites for storing ions, leading to increased energy density and faster charge-discharge rates. Additionally, CNTs' excellent electrical conductivity enables efficient electron transport within the electrode material, reducing internal resistance and enhancing overall device performance.
Additionally, CNTs show potential as catalysts in energy conversion devices like fuel cells and electrolyzers, enhancing reaction kinetics and device efficiency.
Despite these promising characteristics, challenges remain in harnessing the full potential of CNTs for energy storage and conversion devices. Issues such as scalable synthesis, uniform dispersion, and precise control of CNT properties need to be addressed to ensure reproducibility and commercial viability.
Additionally, the integration of CNTs into existing device architectures while maintaining stability and performance poses engineering challenges that require innovative solutions.
Despite their exceptional properties, the cost-effectiveness of using carbon nanotubes in energy storage and conversion devices compared to traditional materials is still a concern that needs to be addressed for widespread adoption.
To address the challenges associated with carbon nanotubes (CNTs) for energy storage and conversion, several approaches and recent advances can be considered:
1. Advanced Synthesis Techniques
2. Surface Modification and Functionalization
3. Composite and protecting layer
4. Computational Modeling
This Research Topic encourages authors to contribute innovative insights, experimental findings, and theoretical modeling approaches (machine learning and computational) to advance the understanding and practical utilization of CNTs in next-generation energy technologies.
We welcome Original Research, Mini Review and Perspective articles on themes including, but not limited to:
1. Advancing the understanding, synthesis, characterization, and functionalization of CNTs
2. Exploring applications of CNTs into batteries, supercapacitors, fuel cells, and other electrochemical systems to improve energy storage capacity, charge-discharge kinetics, and overall device stability.
Their high surface area-to-volume ratio provides ample sites for storing ions, leading to increased energy density and faster charge-discharge rates. Additionally, CNTs' excellent electrical conductivity enables efficient electron transport within the electrode material, reducing internal resistance and enhancing overall device performance.
Additionally, CNTs show potential as catalysts in energy conversion devices like fuel cells and electrolyzers, enhancing reaction kinetics and device efficiency.
Despite these promising characteristics, challenges remain in harnessing the full potential of CNTs for energy storage and conversion devices. Issues such as scalable synthesis, uniform dispersion, and precise control of CNT properties need to be addressed to ensure reproducibility and commercial viability.
Additionally, the integration of CNTs into existing device architectures while maintaining stability and performance poses engineering challenges that require innovative solutions.
Despite their exceptional properties, the cost-effectiveness of using carbon nanotubes in energy storage and conversion devices compared to traditional materials is still a concern that needs to be addressed for widespread adoption.
To address the challenges associated with carbon nanotubes (CNTs) for energy storage and conversion, several approaches and recent advances can be considered:
1. Advanced Synthesis Techniques
2. Surface Modification and Functionalization
3. Composite and protecting layer
4. Computational Modeling
This Research Topic encourages authors to contribute innovative insights, experimental findings, and theoretical modeling approaches (machine learning and computational) to advance the understanding and practical utilization of CNTs in next-generation energy technologies.
We welcome Original Research, Mini Review and Perspective articles on themes including, but not limited to:
1. Advancing the understanding, synthesis, characterization, and functionalization of CNTs
2. Exploring applications of CNTs into batteries, supercapacitors, fuel cells, and other electrochemical systems to improve energy storage capacity, charge-discharge kinetics, and overall device stability.
Keywords: Nanomaterials, Carbon nanotubes (CNTs), Fuel cell, Li-ion battery, energy storage and conversion
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
