Introduction to Nano-computing for K-8 Students
Sanjukta Bhanja and Javier Pulecio
Assistant Professor, PhD student
University of South Florida.
Biography
EducationBE Jadavpur University (Kolkata) 1991MS Indian Institute of Science, 1994PhD University of South Florida, 2002
WorkAssistant Professor, Electrical Engineering, University of South Florida (since 2002)
Research Interest: VLSI Design, Nano-computing, Ferro-magnetic computing
Why Engineering
Engineering technology uses knowledge of mathematics And natural sciences (Physics, Chemistry, Biology)
Key Features:Problem SolvingApplication
Engineers areStrong in Theory, Strong in Application, Strong in Service
Various Engineering Disciplines
Problems
Biometrics/Data-Mining
Robotics-human assistance
Infrastructure-security
Biotechnology (genome project, cognitive modeling)
NanotechnologyComputing systems
Bio-sensors, drug delivery
Chemical sensor
Application Domain
Some of the Promising Technologies…
Quantum-Dot Cellular Automata (QCA)Carbon Nanotubes (CNT)Single Electron Transistor (SET)
P = +1 P = - 1
QCA Logic
QCA Majority Gate
QCA Inverter
QCA OR Gate QCA AND Gate
QCA NAND Gate
QCA Logic Propagation
Unstable Stable
Stable
Unstable Stable
UnstableStable
QCA Logic Propagation
UnstableStable
Unstable
Unstable
Inverter Chain
1
1
Wire Crossbar
1
1
QCA Inverter Gate Logic
1
QCA Majority Gate Logic
Ferromagnetic Computing (Nano-magnets)
Thank You
