Eur. Phys. J. Appl. Phys.
Volume 41, Number 1, January 2008
|Page(s)||53 - 67|
|Section||Characterization of Materials: Imaging, Microscopy and Spectroscopy|
|Published online||21 December 2007|
Shape studies in 2D and 3D on molecular islands of carbon chains self-assembled on silicon in nanoelectronics
Laboratoire Matériaux et Microélectronique de Provence (L2MP), UMR CNRS 6137, ISEN Toulon, Place Pompidou, 83000 Toulon, France
Corresponding author: firstname.lastname@example.org
Accepted: 18 September 2007
Published online: 21 December 2007
This paper presents a set of shape parameters giving an estimation of features for 3D objects, in particular bounded surfaces such as molecular island of self-assembled carbon chains on silicon, in order to classify them. These features are quantified both in 2D and 3D and concern an evaluation of the circularity degree or the fractal degree of the object boundary in 2D and a study of peak dispersion and height variations in 3D. The originality of this approach mainly lies in the way of estimating the isotropic and fractal degrees from the boundary of the surface and in the combination of different data, such as height or distance to the edges, for peak characterization. An application to small molecular islands of carbon, studied in nano-elec-tronics, is also presented, in order to illustrate the purpose and the efficiency of the previous shape parameters. This application also includes a new method of adaptive filtering, processed from distance maps.
PACS: 81.07.-b – Nanoscale materials and structures: fabrication and characterization / 81.07.Nb – Molecular nanostructures / 81.16.-c – Methods of nanofabrication and processing / 81.16.Dn – Self-assembly
© EDP Sciences, 2007
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.