Quantitative Data Processing in Scanning Probe Microscopy is popular PDF and ePub book, written by Petr Klapetek in 2018-02-03, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Quantitative Data Processing in Scanning Probe Microscopy can be Read Online from any device for your convenience.
Quantitative Data Processing in Scanning Probe Microscopy Book PDF Summary
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
Detail Book of Quantitative Data Processing in Scanning Probe Microscopy PDF
- Author : Petr Klapetek
- Release : 03 February 2018
- Publisher : Elsevier
- ISBN : 9780128133484
- Genre : Science
- Total Page : 416 pages
- Language : English
- PDF File Size : 12,5 Mb
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