Nanotechnology 501 Lecture Series
SUGAR: the SPICE for MEMS
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Usage Stats Last 12 Months: updated 01 Aug, 2008 Users: 49 Reviews & Citations Google/IEEE Avg. Review: Citations: 0
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Supporting Documents
- Presentation (with audio) (SWF)
- Presentation Slides (PDF, 4.68 Mb)
- Podcast (video) What's this? (MP4, 38.79 Mb)
- Podcast (audio) What's this? (MP3, 21.01 Mb)
Licensed under Creative Commons according to this deed.
| Contributor(s) | Jason Clark Purdue University, West Lafayette |
|---|---|
| Abstract | In this seminar, I present some design, modeling, and simulation features of a computer aided engineering tool for microelectromechanical systems (MEMS) called SUGAR. For experimental verification, I use a microdevice that is difficult to simulate with conventional MEMS software. I show that the relative errors of the lumped models are less than 3% of finite element analysis; that the computational costs are much less than 1% of finite element analysis; and that simulation fairly agrees with experiment. Features of SUGAR include: a flexible SPICE-like netlist language for MEMS design; a simple modeling framework for computationally efficient lumped models; an extensible architecture to which users can add features; and the ability to display 3D circuits together with deflected electromechanical structures. Since SUGAR is programmed in MATLAB, a multitude of commonly used functions and 3rd-party toolboxes may be used with SUGAR at once. Such attributes facilitate the exploration of design spaces and feature modifications. |
| Biography | Jason Clark is an Assistant Professor of Electrical and Computer Engineering, and of Mechanical Engineering, at Purdue University. He is a faculty member of the Birck Nanotechnology Center, and of the Network for Computational Nanotechnology. Dr. Clark received his Ph.D. in Applied Science from the University of California at Berkeley, fall 2005. His CAD/E efforts lead to one of the first nodal analysis software packages for MEMS, called SUGAR. And his micro-metrology efforts lead to the first comprehensive on-chip methods for measuring micro-scale geometry and material properties, called electro micro-metrology (EMM). Prior to professorship, he held positions at Lawrence Livermore National Lab, Berkeley National Lab, Berkeley Biomedical Microdevices Center, Berkeley Sensor and Actuator Center, and Coventor. |
| Sponsored by | NCN@Purdue Student Leadership Team Network for Computational Nanotechnology The Institute for Nanoelectronics and Computing |
| Cite this work | If you reference this work in a publication, please cite as follows: |
| Date posted | 21 May, 2007 |
| Time | 02:00 PM, April 11, 2007 |
| Location | EE Building, Room 317 |
| Type | Online Presentations |
| Tags |
Citations
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Reviews
The following are reviews of this resource from other site members.
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Posted on 15 January, 2008 by Sung Kyun Park
Truly recommended. Getting motivation from it.
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Posted on 06 July, 2007 by Alex Kim
SUGAR - much faster and more time efficient tool than other FEM simulation tools, with a very small price of accuracy. Most MEMS/NEMS structures could be run on this simulation tool.
See also
The following are resources that may cover similar or related topics.
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9.5 Ranking Series
Part of: Nanotechnology 501 Lecture Series
Nanotechnology 501 Lecture Series
Nanotechnology 501 is a series of lectures designed to provide an introduction to nanotechnology. This series is similar to our popular Nanotechnology 101 series, but directed at the graduate student/professional level.
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6.6 Ranking Series
Part of: NCN NEMS: Simulation Tools for Education and Research
NCN NEMS: Simulation Tools for Education and Research
Many simulation tools are available on the nanoHUB. The tools have been well-tested and here include supporting materials so that they can be effectively used for education or intelligently used for research.
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