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Book Cover
E-book
Author Magonov, Sergei N.

Title Surface analysis with STM and AFM : experimental and theoretical aspects of image analysis / Sergei N. Magonov, Myung-Hwan Whangbo
Published Weinheim ; New York : VCH, [1996]
©1996
Online access available from:
Wiley Online Books    View Resource Record  

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Description 1 online resource (xii, 323 pages) : illustrations
Contents Introduction -- Physical phenomena relevant to STM and AFM -- Scanning probe microscopes -- Practical aspects of STM and AFM measurements -- Simulations of STM and AFM images -- STM and AFM images of layered inorganic compounds -- STM images associated with point defects of layered inorganic compounds -- Tip-sample interactions -- Surface relaxation in STM and AFM images -- Organic conducting salts -- Organic adsorbates at liquid/solid interfaces -- Self-assembled structures -- Polymers
Summary Scanning tunneling microscopy (STM) and atomic force microscopy (AFM) are powerful tools for surface examination. In the past, many STM and AFM studies led to erroneous conclusions due to lack of proper theoretical considerations and of an understanding of how image patterns are affected by measurement conditions. For this book, two world experts, one on theoretical analysis and the other on experimental characterization, have joined forces to bring together essential components of STM and AFM studies: The practical aspects of STM, the image simulation by surface electron density plot calculat
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Atomic force microscopy.
Electric insulators and insulation -- Testing.
Metals -- Surfaces -- Analysis.
Scanning tunneling microscopy.
Semiconductors -- Testing.
Surfaces (Technology) -- Analysis.
Form Electronic book
Author Whangbo, Myung-Hwan.
ISBN 3527615105 (electronic bk.)
3527615113
9783527615100 (electronic bk.)
9783527615117
(acid-free and chlorine-free paper)
(acid-free and chlorine-free paper)
Other Titles Experimental and theoretical aspects of image analysis
Image analysis