Computational Chemistry for Molecular Electronics
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.
P. S. Krstic, D. J. Dean, X. -G. Zhang, D. Keffer, Y. S. Leng, P. T. Cummings, J. C. Wells, Computational chemistry for molecular electronics, Computational Materials Science, Volume 28, Issue 2, Proceedings of the Symposium on Software Development for Process and Materials Design, October 2003, Pages 321-341, ISSN 0927-0256, DOI: 10.1016/S0927-0256(03)00116-2. (http://www.sciencedirect.com/science/article/B6TWM-49HDWCS-3/2/eef7f92bd35482e6d7aa6daefad9a84f)