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Computational chemistry for molecular electronics

  • Predrag S. Krstić*
  • , D. J. Dean
  • , Xiaoguang Zhang
  • , David J. Keffer
  • , Yongsheng Leng
  • , P. T. Cummings
  • , Jack C. Wells
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

We present a synergetic effort of a group of theorists to characterize a molecular electronics device through a multiscale modeling approach. We combine electronic-structure calculations with molecular dynamics and Monte Carlo simulations to predict the structure of self-assembled molecular monolayers on a metal surface. We also develop a novel insight into molecular conductance, with a particular resolution of its fundamental channels, which stresses the importance of a complete molecular structure description of all components of the system, including the leads, the molecule, and their contacts. Both molecular dynamics and electron transport simulations imply that knowledge of detailed molecular structure and system geometry are critical for successful comparison with carefully performed experiments. We illustrate our findings with benzenedithiolate molecules in contact with gold.
Original languageEnglish
Pages (from-to)321-341
Number of pages21
JournalComputational Materials Science
Volume28
Issue number2
DOIs
Publication statusPublished - Oct 2003
EventSymposium on Software Development for Process and Materials Design 2002 - Moscow, Russian Federation
Duration: 15 Sept 200216 Sept 2002

Keywords

  • Conductance
  • DFT
  • MD
  • Molecular electronic
  • SAM formation

ASJC Scopus subject areas

  • General Computer Science
  • General Chemistry
  • General Materials Science
  • Mechanics of Materials
  • General Physics and Astronomy
  • Computational Mathematics

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