Modeling Capacitance in Tunneling Field-Effect Transistors
Budget: ₹1,000 – ₹2,000 INR
Project Title: Tunneling Field-Effect Transistor: Capacitance Components and Modeling
Objective:
The project focuses on analyzing and modeling the capacitance components of Tunneling Field-Effect Transistors (TFETs) using numerical simulations. The goal is to understand the distribution of gate capacitances (Cgs, Cgd, Cgg) and their impact on switching speed and device performance.
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Key Areas of Study:
1. Gate Capacitance Components Analysis
Differences in capacitance partitioning between TFETs and MOSFETs.
Investigation of gate-to-drain (Cgd) and gate-to-source (Cgs) capacitances under different bias conditions.
2. Capacitance Modeling & Optimization
Development of a compact model for TFET capacitance components.
Calibration with TCAD simulation data to improve accuracy.
3. Parasitic Capacitance Reduction
Impact of drain doping profile and gate length (Lg) on capacitance values.
Techniques to minimize Miller capacitance (Cgd) for faster switching.
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Expected Performance Goals:
Accurate capacitance model for TFETs validated against TCAD simulations.
Reduction in parasitic capacitances (Cgd, Cgs) for improved switching speed.
Optimization of drain doping and gate length to enhance circuit performance.
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Scope of Work:
1. TCAD-based Simulations:
Extract capacitance components and analyze their behavior.
Implement parasitic and inversion capacitance models.
2. Model Development & Calibration:
Build a compact analytical model for TFET capacitance.
Validate the model using simulation and experimental data.
3. Performance Optimization & Reporting:
Identify design parameters (doping profile, gate length) for better capacitance control.
Provide detailed reports, plots, and simulation results.
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Required Skills:
Semiconductor device physics (TFETs, MOSFETs, capacitance modeling).
TCAD simulation tools (Synopsys Sentaurus, Silvaco, or similar).
Parasitic capacitance analysis & compact modeling.
Technical report writing & data visualization.
This project contributes to advanced TFET modeling for low-power, high-speed electronics.
Objective:
The project focuses on analyzing and modeling the capacitance components of Tunneling Field-Effect Transistors (TFETs) using numerical simulations. The goal is to understand the distribution of gate capacitances (Cgs, Cgd, Cgg) and their impact on switching speed and device performance.
---
Key Areas of Study:
1. Gate Capacitance Components Analysis
Differences in capacitance partitioning between TFETs and MOSFETs.
Investigation of gate-to-drain (Cgd) and gate-to-source (Cgs) capacitances under different bias conditions.
2. Capacitance Modeling & Optimization
Development of a compact model for TFET capacitance components.
Calibration with TCAD simulation data to improve accuracy.
3. Parasitic Capacitance Reduction
Impact of drain doping profile and gate length (Lg) on capacitance values.
Techniques to minimize Miller capacitance (Cgd) for faster switching.
---
Expected Performance Goals:
Accurate capacitance model for TFETs validated against TCAD simulations.
Reduction in parasitic capacitances (Cgd, Cgs) for improved switching speed.
Optimization of drain doping and gate length to enhance circuit performance.
---
Scope of Work:
1. TCAD-based Simulations:
Extract capacitance components and analyze their behavior.
Implement parasitic and inversion capacitance models.
2. Model Development & Calibration:
Build a compact analytical model for TFET capacitance.
Validate the model using simulation and experimental data.
3. Performance Optimization & Reporting:
Identify design parameters (doping profile, gate length) for better capacitance control.
Provide detailed reports, plots, and simulation results.
---
Required Skills:
Semiconductor device physics (TFETs, MOSFETs, capacitance modeling).
TCAD simulation tools (Synopsys Sentaurus, Silvaco, or similar).
Parasitic capacitance analysis & compact modeling.
Technical report writing & data visualization.
This project contributes to advanced TFET modeling for low-power, high-speed electronics.