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Showing 1 to 4 of 4 for “"GNRFET"”.

  1. Multiple-valued logic: technology and circuit implementation

    … Graphene Nanoribbon Field Effect Transistor (GNRFET) and Carbon Nano Tube Field Effect Transistor (CNTFET). A comparative analysis of the proposed designs and several state-of-the-art designs are also given in all the cases in terms of delay, total power, and power-delay-product (PDP). The …

    umkc Repository record for Multiple-valued logic: technology and circuit implementation (opens in a new tab)

  2. Physical Modeling of Graphene Nanoribbon Field Effect Transistor Using Non-Equilibrium Green Function Approach for Integrated Circuit Design

    … of graphene nanoribbon field effect transistors (GNRFETs) for the future. A comprehensive study of static metrics and switching attributes of GNRFET has been presented including the performance dependence of device characteristics to the GNR width and the scaling of its channel length down to 2.5 …

    lsu-thes Repository record for Physical Modeling of Graphene Nanoribbon Field Effect Transistor Using Non-Equilibrium Green Function Approach for Integrated Circuit Design (opens in a new tab)

  3. Device and circuit-level models for carbon nanotube and graphene nanoribbon transistors

    … graphene nanoribbon field-effect transistors (GNRFETs) for future nanoelectronics. The investigation explores the potential of these amazing carbon structures that exceed MOSFET capabilities in term of speed, scalability and power consumption. The research findings demonstrate the potential …

    cambridge Repository record for Device and circuit-level models for carbon nanotube and graphene nanoribbon transistors (opens in a new tab)

  4. Circuit level delay and power analysis of graphene nano-ribbon field-effect transistors using monte carlo simulations and standard cell library characterization

    Graphene nano-ribbon (GNR) transistors have emerged as a promising candidate to replace traditional silicon transistors in future scaled technologies. Since these devices are very small, the impact of process variation on the circuit’s performance is very large. In this work, we study the impact of …

    uiuc Repository record for Circuit level delay and power analysis of graphene nano-ribbon field-effect transistors using monte carlo simulations and standard cell library characterization (opens in a new tab)