SUGAR is an open source simulation tool for micro-electromechanical systems (MEMS) based on nodal analysis techniques from the world of integrated circuit simulation. Beams, electrostatic gaps, circuit elements, and other elements are modeled by small, coupled systems of differential equations. In less than a decade, the MEMS community has leveraged nearly all the integrated-circuit community’s fabrication techniques, but little of the wealth of simulation capabilities. A wide range of student and professional circuit designers regularly use circuit simulation tools like SPICE, while MEMS designers often resort to back-of-the-envelope calculations. For three decades, development of IC CAD tools has gone hand-in-hand with the development of IC processes. Tools for simulation will play a similar role in future advances in the design of complicated MEMS devices. SUGAR inherits its name and philosophy from SPICE. MEMS designers can describe a device in a compact netlist format, and quickly simulate the device’s behavior. Early in the design process, quick simulations help designers explore the solution space of their problem and prototype viable designs. Later in the design process, a designer might use other available software packages to run slower but more detailed simulations to check for subtle second-order effects. For more in-depth information, please see the list of publications or read the SUGAR 3.0 user’s manual (pdf).
Keywords for this software
References in zbMATH (referenced in 7 articles )
Showing results 1 to 7 of 7.
- Lu, Ding; Su, Yangfeng; Bai, Zhaojun: Stability analysis of the two-level orthogonal Arnoldi procedure (2016)
- Li, Yung-Ta; Bai, Zhaojun; Lin, Wen-Wei; Su, Yangfeng: A structured quasi-Arnoldi procedure for model order reduction of second-order systems (2012)
- Beattie, Christopher; Gugercin, Serkan: Interpolatory projection methods for structure-preserving model reduction (2009)
- Bai, Zhaojun; Skoogh, Daniel: A projection method for model reduction of bilinear dynamical systems (2006)
- Salimbahrami, Behnam; Lohmann, Boris: Order reduction of large scale second-order systems using Krylov subspace methods (2006)
- Nayfeh, Ali H.; Younis, Mohammad I.; Abdel-Rahman, Eihab M.: Reduced-order models for MEMS applications (2005)
- Bai, Zhaojun: Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems (2002)
Further publications can be found at: http://ee.hawaii.edu/~garmire/sugar/#Publications