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AFM-based observation and robotic na...

Yuan, Shuai.

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AFM-based observation and robotic nano-manipulation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AFM-based observation and robotic nano-manipulation/ by Shuai Yuan ... [et al.].
其他作者:	Yuan, Shuai.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xii, 184 p. :ill., digital ;24 cm.
內容註:	Introduction -- Robotics based AFM Nano-manipulation -- AFM Image Reconstruction using Thermal-drift Compensation Model -- Tip Model based AFM Image Reconstruction -- Stochastic Approach based Tip Localization -- Path Planning of Nano-robot using Probability Distribution Region -- Nano-manipulation Platform based on AFM.
Contained By:	Springer eBooks
標題:	Nanotechnology. -
電子資源:	https://doi.org/10.1007/978-981-15-0508-9
ISBN:	9789811505089

AFM-based observation and robotic nano-manipulation
AFM-based observation and robotic nano-manipulation[electronic resource] /by Shuai Yuan ... [et al.]. - Singapore :Springer Singapore :2020. - xii, 184 p. :ill., digital ;24 cm.

Introduction -- Robotics based AFM Nano-manipulation -- AFM Image Reconstruction using Thermal-drift Compensation Model -- Tip Model based AFM Image Reconstruction -- Stochastic Approach based Tip Localization -- Path Planning of Nano-robot using Probability Distribution Region -- Nano-manipulation Platform based on AFM.

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.

ISBN: 9789811505089

Standard No.: 10.1007/978-981-15-0508-9doiSubjects--Topical Terms:

526235
Nanotechnology.

LC Class. No.: T174.7

Dewey Class. No.: 620.5

AFM-based observation and robotic nano-manipulation
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505 0 $a Introduction -- Robotics based AFM Nano-manipulation -- AFM Image Reconstruction using Thermal-drift Compensation Model -- Tip Model based AFM Image Reconstruction -- Stochastic Approach based Tip Localization -- Path Planning of Nano-robot using Probability Distribution Region -- Nano-manipulation Platform based on AFM.
520 $a 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.
650 0 $a Nanotechnology. $3 526235
650 0 $a Nanomanufacturing. $3 2050039
650 1 4 $a Characterization and Evaluation of Materials. $3 890988
650 2 4 $a Nanotechnology and Microengineering. $3 1005737
650 2 4 $a Nanoscale Science and Technology. $3 1244861
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