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Surface physics at the nano-scale via scanning probe microscopy and molecular dynamics simulations

Surface physics at the nano-scale via scanning probe microscopy and molecular dynamics simulations

Czajka, R., Jurczyszyn, L. and Rafii-Tabar, H. (1998) Surface physics at the nano-scale via scanning probe microscopy and molecular dynamics simulations. Progress in Surface Science, 59 (1-4). pp. 13-23. ISSN 0079-6816 (doi:10.1016/S0079-6816(98)00033-1)

Full text not available from this repository.

Abstract

Probe-based scanning microscopes, such as the STM and the AFM, are used to obtain the topographical and electronic structure maps of material surfaces, and to modify their morphologies on nanoscopic scales. They have generated new areas of research in condensed matter physics and materials science. We will review some examples from the fields of experimental nano-mechanics, nano-electronics and nano-magnetism. These now form the basis of the emerging field of Nano-technology. A parallel development has been brought about in the field of Computational Nano-science, using quantum-mechanical techniques and computer-based numerical modelling, such as the Molecular Dynamics (MD) simulation method. We will report on the simulation of nucleation and growth of nano-phase films on supporting substrates. Furthermore, a theoretical modelling of the formation of STM images of metallic clusters on metallic substrates will also be discussed within the non-equilibrium Keldysh Green function method to study the effects of coherent tunnelling through different atomic orbitals in a tip-sample geometry.

Item Type: Article
Additional Information: [1] Published in Progress in Surface Science, Volume 59, Issues 1–4, September–December 1998. Proceedings of the 19th International Seminar on Surface Physics and the Meclewski Symposium.
Uncontrolled Keywords: surface physics, nano-scale, scanning probe microscopy, molecular dynamics simulations
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/303

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