DocumentCode :
1547289
Title :
Surface knowledge: toward a predictive theory of materials
Author :
Kratzer, Peter ; Scheffler, Matthias
Author_Institution :
Fritz-Haber-Inst. der Max-Planck-Gesellschaft, Berlin, Germany
Volume :
3
Issue :
6
fYear :
2001
Firstpage :
16
Lastpage :
25
Abstract :
To understand how materials function, we must understand how molecules, from the environment, interact with their surfaces. This article describes new methodologies for studying surface dynamics at the atomic level over a range of time scales. We focus here on advances in this field, specifically, the development of methodologies, that combine the density-functional theory with elasticity theory, thermodynamics, or statistical mechanics
Keywords :
density; materials science; physics computing; prediction theory; surface phenomena; density functional theory; material surface; materials science; molecular-dynamics; molecules; predictive theory; surface dynamics; Atomic layer deposition; Chemicals; Inorganic materials; Magnetic materials; Materials science and technology; Microscopy; Production; Quantum dot lasers; Semiconductor materials; Surface treatment;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/5992.963424
Filename :
963424
Link To Document :
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