• DocumentCode
    2392967
  • Title

    Simulation of Routing in Nano-manipulation for Creating Pattern with Atomic Force Microscopy Using Genetic Algorithm

  • Author

    Naebi, A. ; Hoseinzadeh, Morteza ; Korayem, M.H. ; Neghabi, M.R. ; Rezazadeh, I.

  • Author_Institution
    Qazvin Islamic Azad Univ., Qazvin, Iran
  • fYear
    2011
  • fDate
    24-26 May 2011
  • Firstpage
    117
  • Lastpage
    122
  • Abstract
    Avoiding collision of nano-particles during manipulation operations and selecting the best route and lowest Atomic Force Microscopy (AFM) movement are major concerns in the area of nano-space. To apply the lowest force on the cantilever from fluid environment forces, we try to minimize AFM movements. Our proposed method calculates the optimum routing for AFM probe movement for nano-particles transmission using Genetic algorithm and simulates it in various type of medium. We consider the collision of the probe with minor barriers. An optimized AFM path minimizes the time and energy required for nano-particle manipulation. For movement of the nano-particles, we seek an efficient probe pattern. A second goal is to transfer the nano-particles without undesired collision. The optimum routing method will increase the speed of the process. Our proposed model, utilizes both Mathematical and Matlab software to simulate the process.
  • Keywords
    atomic force microscopy; cantilevers; genetic algorithms; mechanical engineering computing; nanoparticles; nanotechnology; AFM movement; AFM probe movement; atomic force microscopy; fluid environment forces; genetic algorithm; manipulation operation; nanomanipulation; nanoparticle manipulation; nanoparticles collision avoidance; Atomic force microscopy; Color; Force; Genetic algorithms; Mathematical model; Probes; Routing; Atomic Force Microscopy; Creating Pattern; Genetic Algorithm; Nano-manipulation; Routing; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (AMS), 2011 Fifth Asia
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0193-1
  • Type

    conf

  • DOI
    10.1109/AMS.2011.31
  • Filename
    5961224