Skip to main content

Device Simulation Augmented by the Monte Carlo Method

  • Chapter
  • 356 Accesses

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 113))

Abstract

This paper describes applications which combine Monte Carlo methods with other techniques to model semiconductor devices. These procedures can produce more effective means to describe the behavior of device structures requiring detailed physical descriptions and increased computational efficiency. Applications presented in this paper include: (a) simulation of transport across hetero-barriers with quasi-ballistic effects; (b) simulation of metal-semiconductor-metal photodetectors in which parasitic circuit effects are important; and (c) generation of transport parameters for use in drift-diffusion (and hydrodynamic) models while negating assumptions about the nature of the particle velocity distribution function.

This work was supported by the Office of Naval Research, Arlington, VA.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Reference

  1. T. Kurosawa, J. Phys. Soc. Jpn. Suppl., 21, p. 424, 1966.

    Google Scholar 

  2. W. Fawcett, A. Boardman, S. Swain, J. Phys. Chem. Solids, 21, p. 1963, 1970.

    Article  Google Scholar 

  3. C. Jacoboni and L. Reggiani, Rev. Mod. Phys. 55, p. 645, 1983.

    Article  Google Scholar 

  4. M. Fischetti and S. Laux, Phys. Rev. B., 38, p. 9721, 1988.

    Article  Google Scholar 

  5. J. Pelouard and M. Littlejohn, SPIE Proceedings, 1144. p. 582, 1989.

    Article  Google Scholar 

  6. J. Pelouard, et al., NASECODE VI, p. 255, 1989, Boole Press, Dublin.

    Google Scholar 

  7. A. Levi and S. Schmitt-Rink, Nanostructure Physics and Fabrication, p. 221, 1989, Academic Press, New York.

    Google Scholar 

  8. K. Hess and G. Iafrate, Proc. IEEE, 76, p. 519, 1988.

    Article  Google Scholar 

  9. B. J. VanZeghbroeck, et. al., IEEE Electron. Dev. Lett., 9, p. 527, 1988.

    Article  Google Scholar 

  10. W. Koscielniak, et. al., IEEE Phot. Tech. Lett., 2, p. 125, 1990.

    Article  Google Scholar 

  11. D. Woolard, et. al., Solid-State Elect., 32, p. 1347, 1989.

    Article  Google Scholar 

  12. D. Woolard, et. al., Solid-State Elect., 31, p. 571, 1988.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer Science+Business Media New York

About this chapter

Cite this chapter

Littlejohn, M.A., Pelouard, J.L., Koscielniak, W.C., Woolard, D.L. (1991). Device Simulation Augmented by the Monte Carlo Method. In: Hess, K., Leburton, J.P., Ravaioli, U. (eds) Computational Electronics. The Springer International Series in Engineering and Computer Science, vol 113. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2124-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2124-9_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5122-9

  • Online ISBN: 978-1-4757-2124-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics