Three-dimensional Architecture of Carbon Nanotube Transistors with High Speed and Performance

Authors

  • Dr. Akanksha
  • Dr. Apoorva

DOI:

https://doi.org/10.59670/ml.v20iS13.6282

Abstract

Transistors, essential components of contemporary electronics, are crucial in providing electricity for the technology-dependent society. Given the continuously growing need for enhanced speed capabilities in electronic devices, it has become crucial to investigate innovative materials and structures to fulfill these demands. Carbon Nanotubes (CNTs) have emerged as a desirable contender due to their remarkable electrical characteristics, characterized by elevated carrier mobility and nanoscale dimensions. This study explores the importance of high-speed performance in the contemporary technology-driven environment and emphasizes the crucial role played by transistors in attaining this objective. This research underscores the distinctive attributes of CNTs, including their exceptional electrical conductivity, mechanical robustness, and dimensions, making them a highly suitable contender for advanced transistors in future applications. The current transistor layouts encounter notable obstacles in effectively using the whole capabilities of CNTs, such as the difficulty associated with achieving accurate alignment and addressing connection concerns. To tackle the issues, this study presents a novel three-dimensional CNT Architecture (3D-CNTA) design that utilizes state-of-the-art Computer-Aided Design (CAD) software to achieve accurate spatial modeling. The 3D-CNTA that has been suggested exhibits exceptional performance in several aspects, encompassing power consumption (0.3 Watts), noise (2.6 microvolts), delay (6.6 nanoseconds), gain (36.25 dB), energy efficiency (2.13 femtojoules per transition), and simulation accuracy (95%).

Metrics

Metrics Loading ...

Downloads

Published

2023-12-20

How to Cite

Akanksha, D. ., & Apoorva, D. . (2023). Three-dimensional Architecture of Carbon Nanotube Transistors with High Speed and Performance. Migration Letters, 20(S13), 179–187. https://doi.org/10.59670/ml.v20iS13.6282