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AFM-Based Observation and Robotic Nano-manipulation
Hoofdkenmerken
Auteur: Shuai Yuan; Lianqing Liu; Zhidong Wang; Ning Xi
Titel: AFM-Based Observation and Robotic Nano-manipulation
Uitgever: Springer Nature
ISBN: 9789811505089
ISBN boekversie: 9789811505072
Prijs: € 107,90
Verschijningsdatum: 15-02-2020
Inhoudelijke kenmerken
Categorie: Materials science
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

This book highlights the latest advances in AFM nano-manipulation research in the field of nanotechnology. There are numerous uncertainties in the AFM nano-manipulation environment, such as thermal drift, tip broadening effect, tip positioning errors and manipulation instability. This book proposes a method for estimating tip morphology using a blind modeling algorithm, which is the basis of the analysis of the influence of thermal drift on AFM scanning images, and also explains how the scanning image of AFM is reconstructed with better accuracy. Further, the book describes how the tip positioning errors caused by thermal drift and system nonlinearity can be corrected using the proposed landmark observation method, and also explores the tip path planning method in a complex environment. Lastly, it presents an AFM-based nano-manipulation platform to illustrate the effectiveness of the proposed method using theoretical research, such as tip positioning and virtual nano-hand.
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