Description
Since it was invented by Binnig et al. in 1986, atomic force microscopy (AFM) plays a key role in science and technology at the nanoscale. AFM is a microscopic technique that visualizes the surface topography using the attractive and repulsive forces of interaction between several atoms (in theory) of a blade attached to the end of the probe lever and the surface of the material being tested. In the case of attractive forces, there are three main drivers of AFM. These are short-range chemical forces, van der Waals force, and electrostatic force. Since the effective ranges of these forces vary, one of them dominates depending on the distance. Atomic force spectroscopy is the measurement of force versus distance using the AFM. The intensity of the impact can be measured indirectly in the form of deformation of the lever caused by the applied force or a change in the oscillation nature of the lever set in motion by a piezoelectric actuator. In practical applications, interesting information can be provided by measuring the relationship of oscillation amplitude versus probe-sample distance. One of them may be, for example, the actual value of the oscillation amplitude of the lever, because usually the apparatus gives it in the form of a current or voltage appearing at the output of the photodetector. The exemplary data contained in this collection showed that the real amplitude of the oscillations was 34 nm. The file contains 4 images, 2 sets of curves. Measurements were made using NSG30 probes.
Reference:
[1] Y. Seo, W. Jhe, Atomic force microscopy and spectroscopy, Rep. Prog. Phys. 71 (2008) 016101, DOI:10.1088/0034-4885/71/1/016101
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count}
where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tabCC BYAttribution
- Raw data:
- Data contained in dataset was not processed.
- Software:
- Gwyddion
Details
- Year of publication:
- 2021
- Verification date:
- 2021-08-06
- Dataset language:
- English
- Fields of science:
-
- materials engineering (Engineering and Technology)
- chemical sciences (Natural sciences)
- DOI:
- DOI ID 10.34808/6tep-7648 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
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