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A Simulation Algorithm for Path Planning of Biological Nanoparticles Displacement on a Rough Path

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With the extensive use of the Atomic Force Microscope (AFM) as a tool for assembling biological nano scale structures and the inability of real-time monitoring, the use of computer simulation to predict the process of nanoparticles displacement has become the focus of attention. In this paper, by investigating the forces applied on a nanoparticle, a model has been presented that includes the sliding, rolling and spinning motion modes. Considering the possible encounter with a rough substrate and the increase in the manipulation forces due to this roughness has been explored and based on these models a cost function has been defined. Finally, an algorithm for predicting the movement of a nanoparticle on a specific path, and in the presence of surface roughness, has been presented. By using the presented model and algorithm, the optimal manipulation path could be introduced with regards to path smoothness and force and time applied during pushing process.
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Keywords: AFM-Based Nanorobot; Biological Nanoparticles Path Planning; Rough Surface

Document Type: Research Article

Affiliations: Faculty of Industrial and Mechanical Engineering, Islamic Azad University Qazvin Branch, Qazvin, 34199-15195, Iran

Publication date: August 1, 2017

More about this publication?
  • Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
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