European Powder Diffraction Conference; August 2010, Darmstadt, Germany 2011
DOI: 10.1524/9783486991321-018
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Determination of crystallite size distribution histogram in nanocrystalline anatase powders by XRD

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Cited by 2 publications
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“…The data were fitted using the computer program MSTRUCT [25], which is based on the FOX/ObjCryst [26] package. A model-based approach [27][28][29][30][31] was utilized rather than direct analysis of diffraction peaks breadth [32] in order to get a well-defined absolute measure of the particles 'size'. The approach has also the advantage that the instrumental broadening effects are already included in the procedure, suppressing one of the possible systematic errors.…”
Section: Xrd Data Evaluationmentioning
confidence: 99%
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“…The data were fitted using the computer program MSTRUCT [25], which is based on the FOX/ObjCryst [26] package. A model-based approach [27][28][29][30][31] was utilized rather than direct analysis of diffraction peaks breadth [32] in order to get a well-defined absolute measure of the particles 'size'. The approach has also the advantage that the instrumental broadening effects are already included in the procedure, suppressing one of the possible systematic errors.…”
Section: Xrd Data Evaluationmentioning
confidence: 99%
“…In the analysis it was further assumed that the concentration of large structural defects is low [23] and peak broadening is caused solely by a finite size of diffracting particles. The microstructural model assumed spherical crystallites with diameter distributed according to the log-normal distribution which was found to be very appropriate for description of polydisperse nanoparticle systems [27,28,30]. The 'standard multiplicative deviation' [33] of the log-normal distribution was set to a constant value (s* = 1.35).…”
Section: Xrd Data Evaluationmentioning
confidence: 99%
“…The results of other approaches are summarized in Table II. The bimodal model gives almost as good solution as the refinement of the general size distribution histogram (Matěj et al , 2011) and significantly better fit than a standard model, assuming monodisperse particles. The agreement between determined size distribution parameters ( M , S ) with reference samples is quite good and even excellent when recalculated to area- and volume-averaged dimensions (〈 D 〉 A and 〈 D 〉 V ).…”
Section: Double-component Profilementioning
confidence: 99%
“…An application of the DoubleCompReflProf effect is illustrated here on the analysis of the artificial powder sample – the mixture of anatase crystallites of two different sizes (〈 D 1 〉 = 6.7 nm and 〈 D 2 〉 = 22.6 nm). The sample as well as the synthesis conditions were described in Matěj et al (2011, 2013). DoubleCompReflProf is a “virtual” effect.…”
Section: Double-component Profilementioning
confidence: 99%
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