4.5 Article

Development of Silicon-Embedded Supercapacitors Utilizing Atomic Layer Deposition and Plasma-Enhanced Chemical Vapor Deposition for Functionalization of Carbon Nanotube Electrodes

Journal

JOURNAL OF ELECTRONIC MATERIALS
Volume 50, Issue 9, Pages 5037-5048

Publisher

SPRINGER
DOI: 10.1007/s11664-021-08954-0

Keywords

Supercapacitor; carbon nanotube; pseudocapacitance; atomic layer deposition; graphenation

Funding

  1. Georgia Institute of Technology President's Undergraduate Research Award (PURA)
  2. EngeniusMicro via Defense Microelectronics Activity award [HQ0727-14-P-1426]

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Supercapacitors utilizing carbon nanotube electrodes can benefit from functionalization and graphenation processes to enhance charge densities and specific energy, as well as from the use of room-temperature ionic liquids to improve performance. Functionalization through atomic layer deposition offers pseudocapacitive energy storage mechanisms, while graphenation increases electrode surface area. These improvements in device performance were demonstrated through specific energy values of supercapacitors with different types of functionalizations.
Supercapacitors utilizing carbon nanotube (CNT) electrodes are next-generation energy storage systems. Various CNT functionalization and graphenation processes can enhance carbon nanotube charge densities, while room-temperature ionic liquids can enhance supercapacitor performance. Functionalization by atomic layer deposition of titania provides pseudocapacitive energy storage mechanisms, while graphenation increases the surface area of the electrodes. Utilizing patented silicon etch methods, a silicon-integrated structure was developed with functionalization and graphenation of the CNTs. The supercapacitors with CNT forests functionalized by titania have a specific energy of 39.4 Wh/kg, those with graphenated CNT forests have a specific energy of 26.0 Wh/kg, and the supercapacitors with both functionalizations have a specific energy of 63.4 Wh/kg. Compared to the supercapacitors using bare CNT forests, which have a specific energy of 2.6 Wh/kg, these results show that the addition of these functionalizations significantly improves the device performance.

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