2016
DOI: 10.1016/j.matlet.2016.06.042
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Supersaturation-controlled growth of polyhedra-assembled anatase TiO2 hollow nanospheres

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Cited by 18 publications
(10 citation statements)
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“…From the XRD pattern of TiO 2 , the characteristic peaks at 2 θ values of 25.28°, 37.77°, 47.99°, 54.98° and 62.63° represent the crystal planes of (101), (004), (200), (211) and (204) of anatase TiO 2 , respectively, 37 which are in good agreement with the standard JCPDS Card no. 21-1272.…”
Section: Resultssupporting
confidence: 79%
“…From the XRD pattern of TiO 2 , the characteristic peaks at 2 θ values of 25.28°, 37.77°, 47.99°, 54.98° and 62.63° represent the crystal planes of (101), (004), (200), (211) and (204) of anatase TiO 2 , respectively, 37 which are in good agreement with the standard JCPDS Card no. 21-1272.…”
Section: Resultssupporting
confidence: 79%
“…The XRD pattern shows that graphite was completely oxidized to graphene oxide, which indicated by a sharp peak at 10.55 and the absence of a peak at 25 [37]. In addition, TiO 2 was characterized by the presence of peaks at 62.64, 54.99, 48, 37.78, and 25.29, all well matching with the peaks of anatase TiO 2 [38]. The XRD peaks of TiO 2 /GO are similar to that of TiO 2 , however, the graphene oxide peak disappears due to the destroying of GO nanosheets by interaction with TiO 2 .…”
Section: Resultsmentioning
confidence: 90%
“…Supersaturation control and direct nucleation control are effective ways to optimize the CSD. Crystalline particles with uniform CSDs can be achieved by avoiding nucleation or generating controlled nucleation events. Thus, process monitoring or the design of the operating curve by predicting and establishing the shape of the distribution during batch crystallization processes is critical . Model-based approaches can be successfully applied for macroscopic modeling of the dynamics of the CSD, as well as for quantitative microscopic prediction of the crystal shape. Population balance models have been used to model crystallization processes and predict the shape of the CSD in various crystallization processes. Nagy et al combined the method of characteristics (MOCH) and QMOM to provide an efficient technique for the prediction of the entire CSD during batch crystallization .…”
Section: Introductionmentioning
confidence: 99%