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Piezoresponse force microscopy using adaptive contact-mode imaging
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Waskar, Mohit. Piezoresponse force microscopy using adaptive contact-mode imaging. Retrieved from https://doi.org/doi:10.7282/t3-01hk-8m02

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TitlePiezoresponse force microscopy using adaptive contact-mode imaging
NameWaskar, Mohit (author); Zou, Qingze (chair); Lee, Howon (co-chair); Hayes, Robert (co-chair); Rutgers University; School of Graduate Studies
Date Created2019
Other Date2019-01 (degree)
SubjectMechanical and Aerospace Engineering, Atomic force microscopy, Piezoresponse force microscopy
Extent1 online resource (34 pages) : illustrations
DescriptionAtomic Force Microscopy (AFM) is a type of Scanning Probe Microscopy (SPM) which involves a probe tip scanning over a sample surface for obtaining data of the sample. Data acquisition is carried out by making physical contact with the surface of the sample, thus there is scope of characterizing data even beyond basic topology. Piezoresponse Force Microscopy (PFM) is just an extension of AFM imaging which is used for obtaining the piezoelectric response of the sample using the converse piezoelectric effect. Piezoelectric effect can be observed in almost all the materials around us which include biological and inorganic materials. PFM imaging is extensively used in the nanoscale characterization of ferroelectrics and its applications continue to grow. Thus, with the growing use of this technique, it is important to obtain images of high quality and at a faster rate to reduce the time required to image without affecting its accuracy. Research and experiments show that with the help of different algorithms and external control, the speed of AFM imaging can be boosted with reduced loss of data and higher accuracy. This research aims at applying existing control methodologies used in AFM imaging to the PFM imaging and analyzing the output by comparing images obtained at lower and higher speeds using different methods.
NoteM.S.
NoteIncludes bibliographical references
Noteby Mohit Waskar
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-01hk-8m02
Languageeng
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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