2016
DOI: 10.1016/j.ultramic.2016.05.009
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Radial distribution function imaging by STEM diffraction: Phase mapping and analysis of heterogeneous nanostructured glasses

Abstract: To overcome some of the challenges in characterizing heterogeneous nanostructured amorphous materials, we developed a new TEM method, RDF imaging, combining scanning transmission electron microscopy diffraction mapping with radial distribution function (RDF) analysis followed by hyperspectral analysis, to enable phase analysis and mapping of heterogeneous amorphous structures purely based on their short-and medium range atomic order. We applied this method to an amorphous zirconium oxide and zirconium iron mul… Show more

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Cited by 57 publications
(55 citation statements)
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References 35 publications
(43 reference statements)
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“…The interatomic distances extracted from the e-PDF calculation are accurate, as the ED pattern calibration and the determination of the center of the ED pattern may cause an error smaller than ± 0.005 Å within the range of 1–5 Å [ 54 , 55 , 56 ]. To establish high accuracy of the observed peak positions, during our study, a proper calibration of the TEM camera length was carried out, and all the experiments were performed under similar microscope conditions.…”
Section: Resultsmentioning
confidence: 99%
“…The interatomic distances extracted from the e-PDF calculation are accurate, as the ED pattern calibration and the determination of the center of the ED pattern may cause an error smaller than ± 0.005 Å within the range of 1–5 Å [ 54 , 55 , 56 ]. To establish high accuracy of the observed peak positions, during our study, a proper calibration of the TEM camera length was carried out, and all the experiments were performed under similar microscope conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Local atomic PDFs were calculated from the 4D-STEM diffraction patterns according to the method described in refs. 45 , 46 .…”
Section: Methodsmentioning
confidence: 99%
“…22,23 In addition, the radial distribution function can be computed from each diffraction pattern to map the local structure. 24 Here, we demonstrate that the dataset can be used to compute strain maps during deformation even in an amorphous material. The diffraction pattern of an amorphous material is characterized by a diffuse ring pattern.…”
mentioning
confidence: 83%