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Accuracy of surface strain measurements from transmission electron microscopy images of nanoparticles
- Source :
- Advanced Structural and Chemical Imaging, Advanced Structural and Chemical Imaging, Vol 3, Iss 1, Pp 1-12 (2017), Madsen, J, Liu, P, Wagner, J B, Hansen, T W & Schiøtz, J 2017, ' Accuracy of surface strain measurements from transmission electron microscopy images of nanoparticles ', Advanced Structural and Chemical Imaging, vol. 3, no. 1, pp. 1-12 . https://doi.org/10.1186/s40679-017-0047-0
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- Strain analysis from high-resolution transmission electron microscopy (HRTEM) images offers a convenient tool for measuring strain in materials at the atomic scale. In this paper we present a theoretical study of the precision and accuracy of surface strain measurements directly from aberration-corrected HRTEM images. We examine the influence of defocus, crystal tilt and noise, and find that absolute errors of at least 1–2% strain should be expected. The model structures include surface relaxations determined using molecular dynamics, and we show that this is important for correctly evaluating the errors introduced by image aberrations. Electronic supplementary material The online version of this article (doi:10.1186/s40679-017-0047-0) contains supplementary material, which is available to authorized users.
- Subjects :
- Accuracy and precision
Materials science
02 engineering and technology
01 natural sciences
Atomic units
Noise (electronics)
Optics
High-resolution transmission electron microscopy
0103 physical sciences
Microscopy
lcsh:QD901-999
Chemical Engineering (miscellaneous)
Energy filtered transmission electron microscopy
Radiology, Nuclear Medicine and imaging
lcsh:Science (General)
010306 general physics
Spectroscopy
business.industry
Surface strain
Research
021001 nanoscience & nanotechnology
Tilt (optics)
Transmission electron microscopy
Nanoparticles
Strain mapping
lcsh:Crystallography
0210 nano-technology
business
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 21980926
- Volume :
- 3
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Advanced Structural and Chemical Imaging
- Accession number :
- edsair.doi.dedup.....8d7478c49adcc930fed78e9833c51543
- Full Text :
- https://doi.org/10.1186/s40679-017-0047-0