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A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications

Zhu Peng, Xing Yan, Yi Hong and Tang Wencheng

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Abstract: A simulation model based on Metropolis Monte Carlo for anisotropic etching is presented.The step flow model of kink propagation is introduced in the modeling process of the simulation.For the calculation of the transaction probability of the Monte Carlo method,the removal probability function is set forth by using the nearest-neighbor bond-counting model.The simulation is carried out on different vicinal surfaces to verify the efficiency of the model.Through understanding the kink propagation,the velocity of high Miller-index facets can be explained.Compared with reported CA and other Monte Carlo methods,this model shows higher efficiency and accuracy in simulation.Finally,compensation for convex corners of the micro accelerometer is performed,and the visualization result of simulation agrees well with the experimental results.

Key words: Metropolis Mont Carlosingle crystal siliconanisotropicwet chemical etching

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    Received: 18 August 2015 Revised: 10 July 2007 Online: Published: 01 January 2008

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      Zhu Peng, Xing Yan, Yi Hong, Tang Wencheng. A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications[J]. Journal of Semiconductors, 2008, In Press. Zhu P, Xing Y, Yi H, Tang W C. A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications[J]. J. Semicond., 2008, 29(1): 183.Export: BibTex EndNote
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      Zhu Peng, Xing Yan, Yi Hong, Tang Wencheng. A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications[J]. Journal of Semiconductors, 2008, In Press.

      Zhu P, Xing Y, Yi H, Tang W C. A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications[J]. J. Semicond., 2008, 29(1): 183.
      Export: BibTex EndNote

      A Metropolis Monte Carlo Simulation Approach for Anisotropic Wet Etching and Its Applications

      • Received Date: 2015-08-18
      • Accepted Date: 2007-06-13
      • Revised Date: 2007-07-10
      • Published Date: 2007-12-26

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