Filled Carbon Nanotube Ternary Transistors.

Area of Science:

• Materials Science
• Nanotechnology
• Electrical Engineering

Background:

• Advancing circuit integration faces power consumption challenges.
• Multi-valued logic (MVL) offers reduced complexity and power loss.
• Single-walled carbon nanotubes (SWCNTs) present potential for high-density MVL circuits but face stability issues due to doping control challenges.

Purpose of the Study:

• To develop a stable and controllable MVL device platform using SWCNTs.
• To demonstrate electric-field-controlled carrier modulation for ternary logic.
• To enable efficient neuromorphic computing through reduced complexity and storage.

Main Methods:

• Fabrication of M(acac)x@s-SWCNT heterostructures.
• Utilizing electric-field-controlled carrier modulation for device operation.
• Characterization of transistor logic states, stability, and power consumption.

Main Results:

• Demonstrated transistors with three stable logic states (0, 1, 2) via electric-field modulation.
• Achieved low static power consumption (8.2 pW) and dynamic power consumption (0.31 nJ to 0.35 µJ).
• Developed ternary inverters with rail-to-rail output and ternary weight networks (TWNs) for neuromorphic computing.

Conclusions:

• The M(acac)x@s-SWCNT platform provides a stable and efficient solution for MVL circuits.
• This technology significantly reduces power consumption and computational complexity.
• The developed devices pave the way for advanced neuromorphic computing applications.