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Introduction to Nano-computing for K-8 Students

Introduction to Nano-computing for K-8 Students. Sanjukta Bhanja and Javier Pulecio Assistant Professor, PhD student University of South Florida. Biography. Education BE Jadavpur University (Kolkata) 1991 MS Indian Institute of Science, 1994 PhD University of South Florida, 2002 Work

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Introduction to Nano-computing for K-8 Students

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  1. Introduction to Nano-computing for K-8 Students Sanjukta Bhanja and Javier Pulecio Assistant Professor, PhD student University of South Florida.

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

  3. Why Engineering • 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

  4. Various Engineering Disciplines

  5. Problems • Biometrics/Data-Mining • Robotics-human assistance • Infrastructure-security • Biotechnology • (genome project, cognitive modeling) • Nanotechnology • Computing systems • Bio-sensors, drug delivery • Chemical sensor

  6. Application Domain

  7. P = +1 P = - 1 Some of the Promising Technologies… • Quantum-Dot Cellular Automata (QCA) • Carbon Nanotubes (CNT) • Single Electron Transistor (SET)

  8. QCA Majority Gate QCA OR Gate QCA AND Gate QCA Inverter QCA NAND Gate QCA Logic

  9. QCA Logic Propagation Stable Unstable Stable Stable Unstable Unstable Stable

  10. QCA Logic Propagation 1 Unstable Stable Unstable Unstable 1 Inverter Chain

  11. Wire Crossbar 1 1

  12. QCA Inverter Gate Logic 1

  13. QCA Majority Gate Logic

  14. Ferromagnetic Computing (Nano-magnets)

  15. Thank You

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