11. Molecular Computing: Integration of Molecules for Nanocomputing

  1. Dr. Mary Mehrnoosh Eshaghian-Wilner Adjunct Professor
  1. Dr. James M. Tour1 and
  2. Dr. Lin Zhong Professor2

Published Online: 24 NOV 2009

DOI: 10.1002/9780470429983.ch11

Bio-Inspired and Nanoscale Integrated Computing

Bio-Inspired and Nanoscale Integrated Computing

How to Cite

Tour, J. M. and Zhong, L. (2009) Molecular Computing: Integration of Molecules for Nanocomputing, in Bio-Inspired and Nanoscale Integrated Computing (ed M. M. Eshaghian-Wilner), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470429983.ch11

Editor Information

  1. Department of Electrical Engineering, University of California, Los Angeles, California, USA

Author Information

  1. 1

    Chao Professor of Chemistry, Professor of Computer Science, and Professor of Mechanical Engineering and Materials Science, Rice University, Houston, Texas, USA

  2. 2

    Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA

Publication History

  1. Published Online: 24 NOV 2009
  2. Published Print: 29 MAY 2009

ISBN Information

Print ISBN: 9780470116593

Online ISBN: 9780470429983

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Keywords:

  • molecular computing - molecule integration for nanocomputing;
  • quantum cellular automata (QCA) and electrostatic information transfers;
  • molecular grafting in silicon computing

Summary

This chapter contains sections titled:

  • Introduction

  • Switching and Memory in Molecular Bundles

  • Circuit and Architectures in Molecular Computing

  • Meet-in-Between Paradigm

  • Molecular Grafting for Silicon Computing

  • Conclusions

  • Acknowledgments

  • References