國立高雄大學圖資館 |

Language: English

Back

AFM-based observation and robotic na...

SpringerLink (Online service)

AFM-based observation and robotic nano-manipulation

Record Type:	Electronic resources : Monograph/item
Title/Author:	AFM-based observation and robotic nano-manipulationby Shuai Yuan ... [et al.].
other author:	Yuan, Shuai.
Published:	Singapore :Springer Singapore :2020.
Description:	xii, 184 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Nanotechnology.
Online resource:	https://doi.org/10.1007/978-981-15-0508-9
ISBN:	9789811505089$q(electronic bk.)

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$q(electronic bk.)

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

193873
Nanotechnology.

LC Class. No.: T174.7

Dewey Class. No.: 620.5

AFM-based observation and robotic nano-manipulation
LDR:02284nmm a2200325 a 4500 001 574716
003 DE-He213
005 20200708160830.0
006 m d
007 cr nn 008maaau
008 201016s2020 si s 0 eng d
020 $a 9789811505089$q(electronic bk.)
020 $a 9789811505072$q(paper)
024 7 $a 10.1007/978-981-15-0508-9 $2 doi
035 $a 978-981-15-0508-9
040 $a GP $c GP
041 0 $a eng
050 4 $a T174.7
072 7 $a TGMT $2 bicssc
072 7 $a TEC021000 $2 bisacsh
072 7 $a TGMT $2 thema
082 0 4 $a 620.5 $2 23
090 $a T174.7 $b .A257 2020
245 0 0 $a AFM-based observation and robotic nano-manipulation $h [electronic resource] / $c by Shuai Yuan ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xii, 184 p. : $b ill., digital ; $c 24 cm.
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 193873
650 0 $a Nanomanufacturing. $3 675887
650 1 4 $a Characterization and Evaluation of Materials. $3 273978
650 2 4 $a Nanotechnology and Microengineering. $3 348421
650 2 4 $a Nanoscale Science and Technology. $3 489389
700 1 $a Yuan, Shuai. $3 862450
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-15-0508-9
950 $a Chemistry and Materials Science (Springer-11644)