Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Surface morphology of growing epitax...
~
Saxena, Ankur.
Linked to FindBook
Google Book
Amazon
博客來
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method./
Author:
Saxena, Ankur.
Description:
117 p.
Notes:
Source: Masters Abstracts International, Volume: 44-02, page: 1018.
Contained By:
Masters Abstracts International44-02.
Subject:
Engineering, Materials Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR06135
ISBN:
0494061359
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method.
Saxena, Ankur.
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method.
- 117 p.
Source: Masters Abstracts International, Volume: 44-02, page: 1018.
Thesis (M.Sc.)--University of Calgary (Canada), 2005.
This thesis attempts to study the process of surface roughening during the deposition of a semiconductor material on another, a process commonly known as epitaxy, rising kinetic Monte Carlo modeling. The surface profile and its morphology change during epitaxial deposition, and information about the atomistic processes involved is important for fabrication of semiconductor nano-devices with desired characteristic features. A multi-particle kinetic Monte Carlo model is used to simulate deposition of Si on Si(001) (homoepitaxy) in (1+1)-dimensions and Ge on Si(001) (heteroepitaxy) in (2+1)-dimensions. The simulation model is based on a discrete description of atoms so that the unit, length scale coincides with the atomic diameter. The first set of results corresponds to (1+1)-dimensional simulations of Si layers deposited on initially flat Si(001) and initially structured Si(001) substrate. The driving force for the motion of diffusing atoms (or adatoms) is the tendency of an adatom to maximize the number of bonds it makes with its neighbors. Various roughness parameters were evaluated and analyzed to give insight into the process. Results obtained from one-dimensional simulations show the evolution of surface roughening as Si is deposited on Si(001) substrate. (Abstract shortened by UMI.)
ISBN: 0494061359Subjects--Topical Terms:
1017759
Engineering, Materials Science.
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method.
LDR
:02091nmm 2200241 4500
001
1813725
005
20060503132223.5
008
130610s2005 eng d
020
$a
0494061359
035
$a
(UnM)AAIMR06135
035
$a
AAIMR06135
040
$a
UnM
$c
UnM
100
1
$a
Saxena, Ankur.
$3
1903219
245
1 0
$a
Surface morphology of growing epitaxial layers: Simulations using kinetic Monte Carlo method.
300
$a
117 p.
500
$a
Source: Masters Abstracts International, Volume: 44-02, page: 1018.
502
$a
Thesis (M.Sc.)--University of Calgary (Canada), 2005.
520
$a
This thesis attempts to study the process of surface roughening during the deposition of a semiconductor material on another, a process commonly known as epitaxy, rising kinetic Monte Carlo modeling. The surface profile and its morphology change during epitaxial deposition, and information about the atomistic processes involved is important for fabrication of semiconductor nano-devices with desired characteristic features. A multi-particle kinetic Monte Carlo model is used to simulate deposition of Si on Si(001) (homoepitaxy) in (1+1)-dimensions and Ge on Si(001) (heteroepitaxy) in (2+1)-dimensions. The simulation model is based on a discrete description of atoms so that the unit, length scale coincides with the atomic diameter. The first set of results corresponds to (1+1)-dimensional simulations of Si layers deposited on initially flat Si(001) and initially structured Si(001) substrate. The driving force for the motion of diffusing atoms (or adatoms) is the tendency of an adatom to maximize the number of bonds it makes with its neighbors. Various roughness parameters were evaluated and analyzed to give insight into the process. Results obtained from one-dimensional simulations show the evolution of surface roughening as Si is deposited on Si(001) substrate. (Abstract shortened by UMI.)
590
$a
School code: 0026.
650
4
$a
Engineering, Materials Science.
$3
1017759
690
$a
0794
710
2 0
$a
University of Calgary (Canada).
$3
1017619
773
0
$t
Masters Abstracts International
$g
44-02.
790
$a
0026
791
$a
M.Sc.
792
$a
2005
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR06135
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9204588
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login