Reduced density function analysis using convergent electron illumination and iterative blind deconvolution

1999 ◽  
Vol 76 (3) ◽  
pp. 115-123 ◽  
Author(s):  
W.E. McBride ◽  
D.J.H. Cockayne ◽  
C.M. Goringe
Keyword(s):  
Density Function ◽  
Blind Deconvolution ◽  
Function Analysis ◽  
Reduced Density

scholarly journals eRDF Analyser: An interactive GUI for electron reduced density function analysis

SoftwareX ◽  
2017 ◽  
Vol 6 ◽  
pp. 185-192 ◽  
Author(s):  
Janaki Shanmugam ◽  
Konstantin B. Borisenko ◽  
Yu-Jen Chou ◽  
Angus I. Kirkland
Keyword(s):  
Density Function ◽  
Function Analysis ◽  
Reduced Density

scholarly journals Reduced density function analysis of titanium dioxide doped tantalum pentoxide

2012 ◽  
Vol 371 ◽  
pp. 012058 ◽  
Author(s):  
K Evans ◽  
R Bassiri ◽  
I Maclaren ◽  
S Rowan ◽  
I Martin ◽  
...  
Keyword(s):  
Titanium Dioxide ◽  
Density Function ◽  
Function Analysis ◽  
Tantalum Pentoxide ◽  
Reduced Density

The structure of amorphous and polycrystalline materials using energy-filtered RDF analysis

1992 ◽  
Vol 50 (2) ◽  
pp. 1190-1191
Author(s):  
David Cockayne ◽  
David McKenzie
Keyword(s):  
Electron Diffraction ◽  
Diffraction Pattern ◽  
Density Function ◽  
Electron Diffraction Pattern ◽  
Polycrystalline Materials ◽  
Nearest Neighbour ◽  
X Ray ◽  
Selected Area Electron Diffraction ◽  
Reduced Density ◽  
System F

The technique of Electron Reduced Density Function (RDF) analysis has ben developed into a rapid analytical tool for the analysis of small volumes of amorphous or polycrystalline materials. The energy filtered electron diffraction pattern is collected to high scattering angles (currendy to s = 2 sinθ/λ = 6.5 Å-1) by scanning the selected area electron diffraction pattern across the entrance aperture to a GATAN parallel energy loss spectrometer. The diffraction pattern is then converted to a reduced density function, G(r), using mathematical procedures equivalent to those used in X-ray and neutron diffraction studies.Nearest neighbour distances accurate to 0.01 Å are obtained routinely, and bond distortions of molecules can be determined from the ratio of first to second nearest neighbour distances. The accuracy of coordination number determinations from polycrystalline monatomic materials (eg Pt) is high (5%). In amorphous systems (eg carbon, silicon) it is reasonable (10%), but in multi-element systems there are a number of problems to be overcome; to reduce the diffraction pattern to G(r), the approximation must be made that for all elements i,j in the system, fj(s) = Kji fi,(s) where Kji is independent of s.

Structural Determination of the Hydrofullerene C60D36 by Neutron Diffraction

1998 ◽  
Vol 54 (3) ◽  
pp. 345-350 ◽  
Author(s):  
L. E. Hall ◽  
D. R. McKenzie ◽  
R. L. Davis ◽  
M. I. Attalla ◽  
A. M. Vassallo
Keyword(s):  
Neutron Diffraction ◽  
Density Function ◽  
Diffraction Data ◽  
Fourier Transformation ◽  
Structural Determination ◽  
Molecular Models ◽  
Reduced Density ◽  
C Nmr

A mixture of C60D36 with 24.5 \pm 4.5% C60 by weight has been analysed by neutron diffraction techniques. The diffraction data was converted to a reduced density function G(r) by Fourier transformation. The C60 component of the G(r) was subtracted out. This enabled a comparison for five molecular models of C60D36, with symmetries T, Th , S 6 and two D 3 d isomers, with the experimental G(r). This specimen of C60D36 was found to be best described by a T symmetry isomer, in agreement with 13C NMR and IR data for C60H36 [Attalla et al. (1993). J. Phys. Chem. pp. 6329–6331].

Characterization of pressure fluctuations from a gas–solid fluidized bed by structure density function analysis

2015 ◽  
Vol 129 ◽  
pp. 156-167 ◽  
Author(s):  
Yumin Chen ◽  
C. Jim Lim ◽  
John R. Grace ◽  
Junying Zhang ◽  
Yongchun Zhao ◽  
...  
Keyword(s):  
Density Function ◽  
Fluidized Bed ◽  
Function Analysis ◽  
Pressure Fluctuations ◽  
Structure Density
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