Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

The Elucidation of the Mechanism of the Initial Stages of Si(111)-7x7 Oxidation Using Scanning Tunneling Microscopy

Not Accessible

Your library or personal account may give you access

Abstract

The capability of the scanning tunneling microscopy (STM) and spectroscopy (STS) to probe the topography and electronic structure of surfaces and adsorbate layers with atomic resolution makes it a powerful tool in the study of surface chemistry (1). Here we use STM, STS, ultraviolet photocmission spectroscopy (UPS) and electronic structure calculations to study the long-standing problem involving the nature of the initial stages of the oxidation of silicon. There have been a large number of studies on this issue utilizing a great variety of techniques. However, not only is the mechanism of oxidation still unclear, but there is not even agreement on what kind of product(s) is formed. Several different configurations have been proposed for the oxygen-containing sites in the early stages of the reaction (2). They involve oxygen atoms saturating the dangling-bonds of top-layer Si atoms, oxygen atoms inserted in back-bonds but leaving the dangling-bonds intact, or molecular forms of oxygen attached to surface atoms or bridging two surface Si atoms.

© 1991 Optical Society of America

PDF Article
More Like This
Scanning Tunneling Microscopy and Spectroscopy Studies of Silicon Surface Chemistry

Phaedon Avouris and Robert Wolkow
WD3 Microphysics of Surfaces, Beams, and Adsorbates (MSBA) 1989

Scanning Tunneling Microscopy Studies Of Silicon Molecular Beam Epitaxy

M. G. Lagally and Y.-W. Mo
WD1 The Microphysics of Surfaces: Beam-Induced Processes (MSBA) 1991

Adsorption and Desorption Kinetics for Si (C2H5)2H2 on Si(111) 7x7

P.A. Coon, M.L. Wise, and S.M. George
TuB2 The Microphysics of Surfaces: Beam-Induced Processes (MSBA) 1991

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.