2004
DOI: 10.1023/b:jmsc.0000043585.29016.5a
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‘Smart’ Raman/Rayleigh imaging of nanosized SiC materials using the spatial correlation model

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Cited by 47 publications
(38 citation statements)
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“…The other ions (A-ions) are highly ionic and contribute to the translation oscillation modes which couple themselves with other vibrational modes of the neighbouring entities: translations and rotations/libration of iono-covalent BO 6 leading to the wave number shifts. Low wave number region (100-250 cm −1 ) chiefly involves cationic network and the lattice modes, while a 250-800 cm −1 spectral range reveals the bending and stretching modes of the covalent bonded octahedron [3,4].…”
Section: Resultsmentioning
confidence: 99%
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“…The other ions (A-ions) are highly ionic and contribute to the translation oscillation modes which couple themselves with other vibrational modes of the neighbouring entities: translations and rotations/libration of iono-covalent BO 6 leading to the wave number shifts. Low wave number region (100-250 cm −1 ) chiefly involves cationic network and the lattice modes, while a 250-800 cm −1 spectral range reveals the bending and stretching modes of the covalent bonded octahedron [3,4].…”
Section: Resultsmentioning
confidence: 99%
“…Origin Peak Fitting software was used to decompose the Raman spectra following the procedure described in our previous works [3,5,7].…”
Section: Methodsmentioning
confidence: 99%
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“…Origin software (Microcal Inc, USA) was then used to fit the various components with a Lorentzian (L) shape for the "crystalline/molecular" modes and a Gaussian (G) shape whenever a distribution of configurations was expected ("amorphous" signal). A lab-developed software called "PARADIS" was used for the linescans/mappings [7].…”
Section: Methodsmentioning
confidence: 99%
“…The interest of controlling these moieties with 'smart' Raman maps, showing the variation of a property -calculated after input of fitted Raman parameters in the appropriate model -as a function of the position in a sample has been demonstrated for SiC fibers and composites. 43,44 It can be predicted that such studies will become all the more common to characterize the chemical and physical heterogeneity of processed or aged nanomaterials that 'good' models will be made available by the materials science community.…”
Section: Discussionmentioning
confidence: 99%