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
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