Electrostatically Doped Junctionless Graphene Nanoribbon Tunnel Field-Effect Transistor for High-Performance Gas...

Area of Science:

• Semiconductor device physics
• Nanosensor technology
• Quantum transport phenomena

Background:

• Graphene nanoribbon tunnel field-effect transistors (GNR TFETs) offer potential for advanced electronic devices.
• Developing highly sensitive and selective multi-gas nanosensors is crucial for environmental monitoring and diagnostics.
• Junctionless designs simplify fabrication and can enhance device performance.

Purpose of the Study:

• To propose and computationally assess a novel junctionless graphene nanoribbon tunnel field-effect transistor (JLGNR TFET) as a multi-gas nanosensor.
• To investigate the sensing mechanism, sensitivity, and selectivity of the proposed JLGNR TFET-based nanosensor.
• To explore the potential of this device for detecting various gases with high performance.

Main Methods:

• Utilized quantum simulations based on the non-equilibrium Green's function (NEGF) formalism coupled with Poisson's equation.
• Considered ballistic transport conditions and self-consistent solutions for device modeling.
• Analyzed I_DS-V_GS transfer characteristics, gas-induced electrostatic modulations, subthreshold swing, and band diagrams.

Main Results:

• The JLGNR TFET demonstrated high sensitivity in the subthermionic subthreshold swing regime (SS < 60 mV/dec).
• Gas-induced work function modulation achieved high selectivity by affecting specific conduction branches (n-type or p-type) via band-to-band tunneling (BTBT).
• Simulations showed high performance in sensitivity, selectivity, and electrical behavior for detecting single and multiple gases.

Conclusions:

• The proposed JLGNR TFET is a viable, innovative, and efficient multi-gas nanosensor.
• The device architecture allows for tunable selectivity by employing appropriate gate materials.
• This approach can be extended to other junctionless TFETs utilizing emerging nanomaterials like transition metal dichalcogenides.