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