Introduction to Nanocomputing for K8 Students Sanjukta Bhanja

Introduction to Nanocomputing for K-8 Students Sanjukta Bhanja and Javier Pulecio Assistant Professor, Ph. D student University of South Florida.

Biography Education BE Jadavpur University (Kolkata) 1991 MS Indian Institute of Science, 1994 Ph. D University of South Florida, 2002 Work Assistant Professor, Electrical Engineering, University of South Florida (since 2002) Research Interest: VLSI Design, Nanocomputing, Ferro-magnetic computing

Why Engineering technology uses knowledge of mathematics And natural sciences (Physics, Chemistry, Biology) Key Features: Problem Solving Application Engineers are Strong 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) Nanotechnology Computing 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 Stable Unstable Stable

QCA Logic Propagation 1 Unstable Stable Unstable 1 Inverter Chain

Wire Crossbar 1 1

QCA Inverter Gate Logic 1

QCA Majority Gate Logic

Ferromagnetic Computing (Nanomagnets)

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