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  4. Generalized Monte Carlo tool for investigating low-field and high field properties of materials using non-parabolic band structure model
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Generalized Monte Carlo tool for investigating low-field and high field properties of materials using non-parabolic band structure model

Full metadata

Description

In semiconductor physics, many properties or phenomena of materials can be brought to light through certain changes in the materials. Having a tool to define new material properties so as to highlight certain phenomena greatly increases the ability to understand that phenomena. The generalized Monte Carlo tool allows the user to do that by keeping every parameter used to define a material, within the non-parabolic band approximation, a variable in the control of the user. A material is defined by defining its valleys, energies, valley effective masses and their directions. The types of scattering to be included can also be chosen. The non-parabolic band structure model is used. With the deployment of the generalized Monte Carlo tool onto www.nanoHUB.org the tool will be available to users around the world. This makes it a very useful educational tool that can be incorporated into curriculums. The tool is integrated with Rappture, to allow user-friendly access of the tool. The user can freely define a material in an easy systematic way without having to worry about the coding involved. The output results are automatically graphed and since the code incorporates an analytic band structure model, it is relatively fast. The versatility of the tool has been investigated and has produced results closely matching the experimental values for some common materials. The tool has been uploaded onto www.nanoHUB.org by integrating it with the Rappture interface. By using Rappture as the user interface, one can easily make changes to the current parameter sets to obtain even more accurate results.

Date Created
2011
Contributors
  • Hathwar, Raghuraj (Author)
  • Vasileska, Dragica (Thesis advisor)
  • Goodnick, Stephen M (Committee member)
  • Saraniti, Marco (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Electrical Engineering
  • Materials Science
  • Field
  • Generalized
  • Material
  • Monte Carlo
  • Properties
  • Tool
  • Monte Carlo method
  • Semiconductors--Electric properties--Statistical methods.
  • Semiconductors
  • Electronics--Materials--Statistical methods.
  • Electronics
Resource Type
Text
Genre
Masters Thesis
Academic theses
Extent
viii, 67 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.9367
Statement of Responsibility
Raghuraj Hathwar
Description Source
Viewed on March 7, 2012
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2011
Note type
thesis
Includes bibliographical references (p. 65-66)
Note type
bibliography
Field of study: Electrical engineering
System Created
  • 2011-08-12 04:59:26
System Modified
  • 2021-08-30 01:51:44
  •     
  • 1 year 9 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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