2013
DOI: 10.1016/j.materresbull.2013.02.059
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Analysis of mechanisms of composite particles modification in liquid dispersions

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Cited by 10 publications
(4 citation statements)
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“…Moreover, DLS distribution also proves the adsorption of Ag nanoparticles on PSMAA spheres due to that Dh of PSMAA/Ag nanocomposite spheres is greater than the Dh of PSMAA spheres. In addition, the mean sizes of Ag nanoparticles are calculated to be 10.08, 12.62, and 13.2 nm for samples PSMAA/Ag-1, PSMAA/ Ag-2, and PSMAA/Ag-3, respectively, by using the additive modification model in Dvorskýet al 36 (the original values V 10 and σ can be obtained from Figure S2). FESEM Images.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…Moreover, DLS distribution also proves the adsorption of Ag nanoparticles on PSMAA spheres due to that Dh of PSMAA/Ag nanocomposite spheres is greater than the Dh of PSMAA spheres. In addition, the mean sizes of Ag nanoparticles are calculated to be 10.08, 12.62, and 13.2 nm for samples PSMAA/Ag-1, PSMAA/ Ag-2, and PSMAA/Ag-3, respectively, by using the additive modification model in Dvorskýet al 36 (the original values V 10 and σ can be obtained from Figure S2). FESEM Images.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…[ 37,60–63 ] Dynamic light scattering observations in Figure S11b, Supporting Information, suggest an additive model for adsorption of WO 3 NP on RONS, which supports the idea that the aforesaid interactions between the WO 3 and RONS surfaces are effective for self‐assembly. [ 59,64 ] Self‐assembly is further supported by multiple SEM images and SEM‐EDX analysis of bulk powders of RONS/WO 3 samples (Figures S8 and S10, Supporting Information). The latter systematically shows that RONS (or restacked RONS) were always found to be surrounded by WO 3 (single NP or aggregates) after calcination.…”
Section: Resultsmentioning
confidence: 77%
“…Thus certain species can migrate within the volatile and refractory classifications, depending on the conditions under which condensation takes place. The ability to understand and predict this type of behavior is crucial not only in the realm of nuclear forensics, but also in the study of particle production processes for industrial applications (Koch et al [2005], Dvorský et al [2013], Bunge et al [2019]). With the example of a numerical calculation, we have also shown that it is possible to combine first principles models with current computational capabilities to describe the development of fractionation characteristics, thus reducing the need for empirical parameterization.…”
Section: Discussionmentioning
confidence: 99%