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Quantitative Data Processing in Scanning Probe Microscopy

SPM Applications for Nanometrology

Jezik AngleščinaAngleščina
E-knjiga Adobe ePub DRM
E-knjiga Quantitative Data Processing in Scanning Probe Microscopy Petr Klapetek
Koda Libristo: 39579206
Založba Elsevier, februar 2018
Quantitative Data Processing in Scanning Probe Microscopy: SPM Applications for Nanometrology, Secon... Celoten opis
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Quantitative Data Processing in Scanning Probe Microscopy: SPM Applications for Nanometrology, Second Edition describes the recommended practices for measurements and data processing for various SPM techniques, also discussing associated numerical techniques and recommendations for further reading for particular physical quantities measurements. Each chapter has been revised and updated for this new edition to reflect the progress that has been made in SPM techniques in recent years. New features for this edition include more step-by-step examples, better sample data and more links to related documentation in open source software. Scanning Probe Microscopy (SPM) techniques have the potential to produce information on various local physical properties. Unfortunately, there is still a large gap between what is measured by commercial devices and what could be considered as a quantitative result. This book determines to educate and close that gap. Associated data sets can be downloaded from http://gwyddion.net/qspm/ Features step-by-step guidance to aid readers in progressing from a general understanding of SPM principles to a greater mastery of complex data measurement techniques Includes a focus on metrology aspects of measurements, arming readers with a solid grasp of instrumentation and measuring methods accuracy Worked examples show quantitative data processing for different SPM analytical techniques

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O knjigi

Polni naslov Quantitative Data Processing in Scanning Probe Microscopy
Jezik Angleščina
Vezava E-knjiga - Adobe ePub DRM
Datum izida 2018
Število strani 416
EAN 9780128133484
Koda Libristo 39579206
Založba Elsevier
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