This course covers the learning outcomes and goals of understanding carbon nanotube technology in nanosystems. Students will learn about the architectural solutions, performance benefits, and fabrication flows related to carbon nanotube FETs. The course teaches skills such as CNT processing, design co-optimization, and monolithic 3D integration. The teaching method includes lectures, demonstrations, and experimental results. The intended audience for this course is individuals interested in nanotechnology, semiconductor devices, and advanced integrated circuits.
Overview
Syllabus
Introduction.
Our Old Answer: Device Scaling.
Architectural Solution?.
Carbon Nanotube FET (CNFET).
Mis-positioned CNT-Immune NAND.
VMR Performance.
CNFET Scaling: Circuit Demonstration • 32 nm Integrated IR Sensor + Interface Circuit.
First CNFET Sub-system: ISSCC Demo.
CNT Computer.
Reproducible Results.
CNT Transfer: Major Advantages.
CIDER Process.
Robust CNT Processing.
VMR Efficiency.
Probabilistic CNT Removal.
Overcoming CNT Variations.
"Engineer" CNFET Correlation.
Processing & Design Co-Optimization.
CNT Processing Exploration.
Monolithic 3D: Logic + Memory.
Energy and Performance Benefits.
Realizing Monolithic 3D Integration.
Monolithic 3D Fabrication Flow.
Experimental Results.
Taught by
Stanford Online
Tags
Related articles
Reviews
5.0 rating, based on 3 Class Central reviews
-
The course was very useful. I advise everyone to read it because it includes the basic lines that every researcher in nanotechnology must familiarize themselves with and master the work with.
-
This course enables me to understand the basics of the carbon nanotube case study and enables me to learn new things about nanodevices. This course also explains carbon nanotubes in such a way that it enhances my understanding of the topic, which builds my interest and leads me to learn more about it. Actually, my research interest is carbon nanotubes, and it helps me to know more about them.
-
It was phenomenally informative the accessibility was very easy and I am thankful for this course. the choice to keep this lecture on youtube is very appreciated.
