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CNTLogicLab v2.0 – Variation-Aware CNTFET Digital Logic Circuit Simulator

As CMOS technology approaches its physical scaling limits, Carbon Nanotube Field Effect Transistors (CNTFETs) emerge as a promising post-CMOS alternative for high-performance and energy-efficient digital circuits.

This video presents CNTLogicLab v2.0, a real-time, physics-based software simulator developed as part of the Digital Logic Circuits Design Using CNTFET (FI9057) course under Anna University Regulation 2021. The tool analytically models CNTFET device behavior, variability effects, and digital logic operation without using datasets or machine-learning models.

🔬 Key Features Demonstrated:

• CNTFET I–V characteristics (n-type & p-type)
• CNT count variation and metallic CNT failure modeling
• Intrinsic gate delay and parasitic capacitance estimation
• Static and transmission-gate based CNT logic families
• Noise margin estimation for CNT digital circuits
• Delay vs CNT density trade-off analysis
• Monte-Carlo based yield and reliability evaluation

🧠 Academic Highlights:

• Physics-driven analytical modeling
• Variation-aware CNT digital VLSI design
• Direct mapping to Units III–V of the syllabus
• Research-oriented approach inspired by Stanford & MIT CNT VLSI studies

🛠️ Tools & Technologies:

• Python
• Streamlit
• Google Colab
• GitHub

This project demonstrates the feasibility, challenges, and design trade-offs of CNT-based digital logic, offering insights into next-generation nanoelectronic circuit design.

📘 Subject Code: FI9057
🎓 Degree: Faculty of Information & Communication Engineering
🏫 University: Anna University

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