Book contents
- Frontmatter
- Contents
- Preface
- Notation guide
- PART 1 Introduction
- PART 2 Nonequilibrium roughening
- PART 3 Interfaces in random media
- PART 4 Molecular beam epitaxy
- 12 Basic phenomena of MBE
- 13 Linear theory of MBE
- 14 Nonlinear theory for MBE
- 15 Discrete models for MBE
- 16 MBE experiments
- 17 Submonolayer deposition
- 18 The roughening transition
- 19 Nonlocal growth models
- 20 Diffusion bias
- PART 5 Noise
- PART 6 Advanced topics
- PART 7 Finale
- APPENDIX A Numerical recipes
- APPENDIX B Dynamic renormalization group
- APPENDIX C Hamiltonian description
- Bibliography
- Index
12 - Basic phenomena of MBE
Published online by Cambridge University Press: 23 December 2009
- Frontmatter
- Contents
- Preface
- Notation guide
- PART 1 Introduction
- PART 2 Nonequilibrium roughening
- PART 3 Interfaces in random media
- PART 4 Molecular beam epitaxy
- 12 Basic phenomena of MBE
- 13 Linear theory of MBE
- 14 Nonlinear theory for MBE
- 15 Discrete models for MBE
- 16 MBE experiments
- 17 Submonolayer deposition
- 18 The roughening transition
- 19 Nonlocal growth models
- 20 Diffusion bias
- PART 5 Noise
- PART 6 Advanced topics
- PART 7 Finale
- APPENDIX A Numerical recipes
- APPENDIX B Dynamic renormalization group
- APPENDIX C Hamiltonian description
- Bibliography
- Index
Summary
Introduction
The discovery that scaling laws and continuum theories are applicable to molecular beam epitaxy (MBE) has generated increasing interest among both experimentalists and theorists. The closer study of these deposition processes reveals the decisive role played by surface diffusion of the deposited particles. From the experimental point of view, these studies re-focus attention on a neglected aspect of MBE growth processes: roughening of a growing interface.
There are two complementary approaches to crystal growth:
(a) Atomistic approaches, in which the position of every atom is well defined. Our knowledge of the behavior of individual atoms has increased due to the high resolution of scanning tunneling microscopy (STM). STM is capable of identifying not only the structure of the lattice, but the positions of the individual atoms as well. First principles calculations provide insight into the energetics of atomic motion on solid surfaces. Based on this detailed information, modeling of different growth processes on the atomic level is becoming a widely used tool to gain deeper insight on the collective nature of atomic motion and deposition processes.
(b) Continuum approaches view the interface on a coarse-grained scale, in which every property is averaged over a small volume containing many atoms. Neglecting the discrete nature of the growth process, continuum theories attempt to capture the essential mechanisms determining the growth morphology. Their predictive power is limited to length scales larger than the typical interatom distance, providing information on the collective nature of the growth process, such as the variation in the interface roughness or correlation functions.
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- Chapter
- Information
- Fractal Concepts in Surface Growth , pp. 128 - 138Publisher: Cambridge University PressPrint publication year: 1995