Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment

This thesis addresses the metal nanocluster growth process on prepatterned substrates, the development of atomistic simulation method with respect to an acceleration of the atomistic transition states, and the continuum model of the ion-beam inducing semiconductor surface pattern formation mechanism...

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Bibliographic Details
Main Author: Numazawa, Satoshi
Other Authors: Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2012
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88730
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88730
http://www.qucosa.de/fileadmin/data/qucosa/documents/8873/Dissertation_Numazawa.pdf
id ndltd-DRESDEN-oai-qucosa.de-bsz-14-qucosa-88730
record_format oai_dc
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Monte Carlo Simulation
Ion Beam Physik
Schichtabscheidung
Monte Carlo simulation
Ion beam surface modification
Thin film growth
ddc:530
rvk:UM 5000
rvk:UP 7500
spellingShingle Monte Carlo Simulation
Ion Beam Physik
Schichtabscheidung
Monte Carlo simulation
Ion beam surface modification
Thin film growth
ddc:530
rvk:UM 5000
rvk:UP 7500
Numazawa, Satoshi
Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
description This thesis addresses the metal nanocluster growth process on prepatterned substrates, the development of atomistic simulation method with respect to an acceleration of the atomistic transition states, and the continuum model of the ion-beam inducing semiconductor surface pattern formation mechanism. Experimentally, highly ordered Ag nanocluster structures have been grown on pre-patterned amorphous SiO2 surfaces by oblique angle physical vapor deposition at room temperature. Despite the small undulation of the rippled surface, the stripe-like Ag nanoclusters are very pronounced, reproducible and well-separated. The first topic is the investigation of this growth process with a continuum theoretical approach to the surface gas condensation as well as an atomistic cluster growth model. The atomistic simulation model is a lattice-based kinetic Monte-Carlo (KMC) method using a combination of a simplified inter-atomic potential and experimental transition barriers taken from the literature. An effective transition event classification method is introduced which allows a boost factor of several thousand compared to a traditional KMC approach, thus allowing experimental time scales to be modeled. The simulation predicts a low sticking probability for the arriving atoms, millisecond order lifetimes for single Ag monomers and about 1 nm square surface migration ranges of Ag monomers. The simulations give excellent reproduction of the experimentally observed nanocluster growth patterns. The second topic specifies the acceleration scheme utilized in the metallic cluster growth model. Concerning the atomistic movements, a classical harmonic transition state theory is considered and applied in discrete lattice cells with hierarchical transition levels. The model results in an effective reduction of KMC simulation steps by utilizing a classification scheme of transition levels for thermally activated atomistic diffusion processes. Thermally activated atomistic movements are considered as local transition events constrained in potential energy wells over certain local time periods. These processes are represented by Markov chains of multi-dimensional Boolean valued functions in three dimensional lattice space. The events inhibited by the barriers under a certain level are regarded as thermal fluctuations of the canonical ensemble and accepted freely. Consequently, the fluctuating system evolution process is implemented as a Markov chain of equivalence class objects. It is shown that the process can be characterized by the acceptance of metastable local transitions. The method is applied to a problem of Au and Ag cluster growth on a rippled surface. The simulation predicts the existence of a morphology dependent transition time limit from a local metastable to stable state for subsequent cluster growth by accretion. The third topic is the formation of ripple structures on ion bombarded semiconductor surfaces treated in the first topic as the prepatterned substrate of the metallic deposition. This intriguing phenomenon has been known since the 1960s and various theoretical approaches have been explored. These previous models are discussed and a new non-linear model is formulated, based on the local atomic flow and associated density change in the near surface region. Within this framework ripple structures are shown to form without the necessity to invoke surface diffusion or large sputtering as important mechanisms. The model can also be extended to the case where sputtering is important and it is shown that in this case, certain "magic" angles can occur at which the ripple patterns are most clearly defined. The results including some analytic solutions of the nonlinear equation of motions are in very good agreement with experimental observation.
author2 Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften
author_facet Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften
Numazawa, Satoshi
author Numazawa, Satoshi
author_sort Numazawa, Satoshi
title Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
title_short Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
title_full Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
title_fullStr Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
title_full_unstemmed Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
title_sort modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment
publisher Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
publishDate 2012
url http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88730
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88730
http://www.qucosa.de/fileadmin/data/qucosa/documents/8873/Dissertation_Numazawa.pdf
work_keys_str_mv AT numazawasatoshi modelingofmetalnanoclustergrowthonpatternedsubstratesandsurfacepatternformationunderionbombardment
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spelling ndltd-DRESDEN-oai-qucosa.de-bsz-14-qucosa-887302014-05-17T03:34:49Z Modeling of metal nanocluster growth on patterned substrates and surface pattern formation under ion bombardment Numazawa, Satoshi Monte Carlo Simulation Ion Beam Physik Schichtabscheidung Monte Carlo simulation Ion beam surface modification Thin film growth ddc:530 rvk:UM 5000 rvk:UP 7500 This thesis addresses the metal nanocluster growth process on prepatterned substrates, the development of atomistic simulation method with respect to an acceleration of the atomistic transition states, and the continuum model of the ion-beam inducing semiconductor surface pattern formation mechanism. Experimentally, highly ordered Ag nanocluster structures have been grown on pre-patterned amorphous SiO2 surfaces by oblique angle physical vapor deposition at room temperature. Despite the small undulation of the rippled surface, the stripe-like Ag nanoclusters are very pronounced, reproducible and well-separated. The first topic is the investigation of this growth process with a continuum theoretical approach to the surface gas condensation as well as an atomistic cluster growth model. The atomistic simulation model is a lattice-based kinetic Monte-Carlo (KMC) method using a combination of a simplified inter-atomic potential and experimental transition barriers taken from the literature. An effective transition event classification method is introduced which allows a boost factor of several thousand compared to a traditional KMC approach, thus allowing experimental time scales to be modeled. The simulation predicts a low sticking probability for the arriving atoms, millisecond order lifetimes for single Ag monomers and about 1 nm square surface migration ranges of Ag monomers. The simulations give excellent reproduction of the experimentally observed nanocluster growth patterns. The second topic specifies the acceleration scheme utilized in the metallic cluster growth model. Concerning the atomistic movements, a classical harmonic transition state theory is considered and applied in discrete lattice cells with hierarchical transition levels. The model results in an effective reduction of KMC simulation steps by utilizing a classification scheme of transition levels for thermally activated atomistic diffusion processes. Thermally activated atomistic movements are considered as local transition events constrained in potential energy wells over certain local time periods. These processes are represented by Markov chains of multi-dimensional Boolean valued functions in three dimensional lattice space. The events inhibited by the barriers under a certain level are regarded as thermal fluctuations of the canonical ensemble and accepted freely. Consequently, the fluctuating system evolution process is implemented as a Markov chain of equivalence class objects. It is shown that the process can be characterized by the acceptance of metastable local transitions. The method is applied to a problem of Au and Ag cluster growth on a rippled surface. The simulation predicts the existence of a morphology dependent transition time limit from a local metastable to stable state for subsequent cluster growth by accretion. The third topic is the formation of ripple structures on ion bombarded semiconductor surfaces treated in the first topic as the prepatterned substrate of the metallic deposition. This intriguing phenomenon has been known since the 1960s and various theoretical approaches have been explored. These previous models are discussed and a new non-linear model is formulated, based on the local atomic flow and associated density change in the near surface region. Within this framework ripple structures are shown to form without the necessity to invoke surface diffusion or large sputtering as important mechanisms. The model can also be extended to the case where sputtering is important and it is shown that in this case, certain "magic" angles can occur at which the ripple patterns are most clearly defined. The results including some analytic solutions of the nonlinear equation of motions are in very good agreement with experimental observation. Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften Prof. Dr. Wolfhard Möller Prof. Dr. Wolfhard Möller Prof. Dr. Roger Smith 2012-06-20 doc-type:doctoralThesis application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88730 urn:nbn:de:bsz:14-qucosa-88730 PPN373323808 http://www.qucosa.de/fileadmin/data/qucosa/documents/8873/Dissertation_Numazawa.pdf eng