Title | ||
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Adaptive Scan for Atomic Force Microscopy Based on Online Optimization: Theory and Experiment. |
Abstract | ||
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A major challenge in atomic force microscopy is to reduce the scan duration while retaining the image quality. Conventionally, the scan rate is restricted to a sufficiently small value in order to ensure a desirable image quality as well as a safe tip-sample contact force. This usually results in a conservative scan rate for samples that have a large variation in aspect ratio and/or for scan patte... |
Year | DOI | Venue |
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2020 | 10.1109/TCST.2019.2895798 | IEEE Transactions on Control Systems Technology |
Keywords | DocType | Volume |
Trajectory,Imaging,Force,Surfaces,Actuators,Measurement,Bandwidth | Journal | 28 |
Issue | ISSN | Citations |
3 | 1063-6536 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kaixiang Wang | 1 | 0 | 0.34 |
Michael G. Ruppert | 2 | 5 | 3.37 |
Chris Manzie | 3 | 318 | 46.66 |
Dragan Nesic | 4 | 2995 | 293.47 |
Yuen Kuan Yong | 5 | 66 | 11.78 |