A study of surface diffusion with the scanning tunneling microscope from fluctuations of the tunneling current
Author(s) -
Lozano Manuel
Publication year - 1996
Language(s) - English
Resource type - Reports
DOI - 10.2172/211377
Subject(s) - scanning tunneling microscope , measure (data warehouse) , diffusion , surface diffusion , quantum tunnelling , current (fluid) , range (aeronautics) , surface (topology) , statistical physics , surface science , resolution (logic) , nanotechnology , microscope , physics , computer science , materials science , optics , chemistry , condensed matter physics , mathematics , artificial intelligence , data mining , geometry , quantum mechanics , adsorption , thermodynamics , composite material
The transport of atoms or molecules over surfaces has been an important area of study for several decades now, with its progress generally limited by the available experimental techniques to characterize the phenomena. A number of methods have been developed over the years to measure surface diffusion yet only very few systems have been characterized to this day mainly due to the physical limitations inherent in these available methods. Even the STM with its astonishing atomically-resolved images of the surface has been limited in terms of its capability to determine mass transport properties. This is because the STM is inherently a ``slow`` instrument, i.e., a finite time is needed for signal averaging in order to produce the image. A need exists for additional surface diffusion measurement techniques, ideally ones which are able to study varied systems and measure a wide range of diffusion rates. The STM (especially because of its highly local nature) presents itself as a promising tool to conduct dynamical studies if its poor time resolution during ``normal operation`` can somehow be overcome. The purpose of this dissertation is to introduce a new technique of using the STM to measure adatom mobility on surfaces -- one with a capacity to achieve excellent time resolution
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom