Exhibition 2009
DOI: 10.1109/ieeegcc.2009.5734252
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Cited by 3 publications
(3 citation statements)
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“…a is the XRD spectrum corresponding to the silver nanoparticles. The diffraction peaks at 2 θ =37.3°, 44.2°, 64.5°, and 77.3° can be assigned to the Bragg reflections at the (111), (200), (220), and (311) planes of silver . They are in agreement with the standard spectrum (JCPDS NO.4‐0783) of crystalline silver.…”
Section: Resultssupporting
confidence: 79%
“…a is the XRD spectrum corresponding to the silver nanoparticles. The diffraction peaks at 2 θ =37.3°, 44.2°, 64.5°, and 77.3° can be assigned to the Bragg reflections at the (111), (200), (220), and (311) planes of silver . They are in agreement with the standard spectrum (JCPDS NO.4‐0783) of crystalline silver.…”
Section: Resultssupporting
confidence: 79%
“…Chemical tests were carried out to insure the presence or absence of the active compound class in the studied plant as described by [28]. Total active compounds were determined according to [29]for phenolics, [30]for total flavonoids, [31]for total alkaloids, [32]for total glycosides, [33] for total tannins and [34]for total Saponins.…”
Section: Methodsmentioning
confidence: 99%
“…[21] When more than one solid phase are calculated, the solid phase stress for one solid phase is influenced by the presence of other solid phases. [16,22,23] At present, there are three main ways to simulate binary particle mixtures in the Eulerian framework: 1) the binary particles are treated as two solid phases and each solid phase uses the KTGF for monosized particles to calculate the solid phase stress, with the influence of other solid phases considered in the radial distribution function; 2) the binary particles are treated as two solid phases but the KTGF-based closures are modified to consider the polydispersity; [11,15,25] and 3) the binary particles are treated as one solid phase but the KTGF used in the simulation considers the influence of polydispersity. [27] The first approach is often used in the simulation of binary systems due to its relatively high computational stability.…”
Section: Hydrodynamic Modelmentioning
confidence: 99%