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The spatial uncertainties of tip positioning due to the nonlinearity of the PZT scanner and thermal drift hinder the further application of the AFM based nanomanipulation. This paper brings forward feature referenced tip localization enhanced by probability motion model to reduce the spatial uncertainties. An improved motion model is probabilistically built by incorporating the PI model, the creep...
One of the prerequisites for AFM based nanomanipulation is that the position of the target nanoparticle can be stable controlled within a known area, while this prerequisite is still hindered by the uncertainties including the initial position of the nanoparticle and of the AFM tip, together with the uncertain forces from the substrate and so on. In this paper, a Stochastic Pushing (SP) model and...
AFM has been proved to be a powerful nano-manipulation tool taking advantage of its ultra high resolution and precision. However the large spatial uncertainties associated with AFM tip positioning dual to the PZT nonlinearity and thermal drift are still challenging problems, which hinders its wide application especially in building complex structures In this paper, a probabilistic approach combined...
Nanomanipulation and nanoassembly using atom force microscopy (AFM) is a potential and promising technology for nanomanufacturing. Precise position of the tip of AFM is important to increase the accuracy and efficiency on fabricate complex nanostructures. However at the nano-scale, it is difficult to acquire the tip position expressed by the coordinate in real time due to PZT nonlinearity and thermal...
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