modulation wavelength
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2020 ◽  
Vol 126 (5) ◽  
Author(s):  
Bo Tao ◽  
Qingchun Lei ◽  
Jingfeng Ye ◽  
Zhenrong Zhang ◽  
Zhiyun Hu ◽  
...  

2020 ◽  
Vol 126 (2) ◽  
Author(s):  
Bo Tao ◽  
Qingchun Lei ◽  
Jingfeng Ye ◽  
Zhenrong Zhang ◽  
Zhiyun Hu ◽  
...  

IUCrJ ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Andrey A. Zolotarev ◽  
Sergey V. Krivovichev ◽  
Fernando Cámara ◽  
Luca Bindi ◽  
Elena S. Zhitova ◽  
...  

The crystal structure of ilmajokite, a rare Na-K-Ba-Ce-titanosilicate from the Khibiny mountains, Kola peninsula, Russia, has been solved using single-crystal X-ray diffraction data. The crystal structure is based on a 3D titanosilicate framework consisting of trigonal prismatic titanosilicate (TPTS) clusters centered by Ce3+ in [9]-coordination. Four adjacent TPTS clusters are linked into four-membered rings within the (010) plane and connected via ribbons parallel to 101. The ribbons are organized into layers parallel to (010) and modulated along the a axis with a modulation wavelength of csinβ = 32.91 Å and an amplitude of ∼b/2 = 13.89 Å. The layers are linked by additional silicate tetrahedra. Na+, K+, Ba2+ and H2O groups occur in the framework cavities and have different occupancies and coordination environments. The crystal structure of ilmajokite can be separated into eight hierarchical levels: atoms, coordination polyhedra, TPTS clusters, rings, ribbons, layers, the framework and the whole structure. The information-based analysis allows estimation of the complexity of the structure as 8.468 bits per atom and 11990.129 bits per cell. According to this analysis, ilmajokite is the third-most complex mineral known to date after ewingite and morrisonite, and is the most complex mineral framework structure, comparable in complexity to paulingite-(Ca) (11 590.532 bits per cell).


2020 ◽  
Vol 32 (12) ◽  
pp. 2953-2959
Author(s):  
Tan Tai Nguyen ◽  
Kieu Vo Thi Diem

This brief review presents the recent process in optical sensors based on surface plasmon resonance (SPR). In particular, it will focus on the optical sensors that employ the change of refractive index as the sensing transduction signal. Various detection schemes of optical sensors which include phase modulation, wavelength modulation and intensity modulation are discussed. The performance advantageous and disadvantageous of the description of optical sensors structure and their respective experimental configurations are also described. The examples of detection in chemistry, biology and heavy metals will be presented. Future prospects of surface plasmon resonance (SPR) sensing technology is also discussed.


2015 ◽  
Vol 776 ◽  
pp. 390-429 ◽  
Author(s):  
Shubhadeep Mandal ◽  
Uddipta Ghosh ◽  
Aditya Bandopadhyay ◽  
Suman Chakraborty

In the present study, we attempt to analyse the electro-osmotic flow of two superimposed fluids through narrow confinements in the presence of axially modulated surface charges. We attempt to solve for the flow structure as well as the interface deformation by both analytical and numerical techniques. Approximate analytical solutions are obtained through asymptotic analysis for low deformations, whereas numerical solutions are obtained by applying the phase field formalism; the numerical solutions are obtained for small as well as large interfacial deformations. The analytical solutions are derived only for the transient deformation of the interface, neglecting the transience in the flow, i.e. the flow is assumed to be quasisteady. The numerical solutions, however, are derived including the effects of inertia and transients in the flow. We attempt to compare our analytical and numerical results and explore the effects of several physico-chemical parameters on the deformation of the interface as well as the nature of the flow. Our analysis reveals that parameters such as the modulation wavelength, surface tension (described through the capillary number), viscosity ratio, permittivity ratio and extent of asymmetry in the potential on the two walls are the major contributors to the deformation and the resulting flow features.


2015 ◽  
Author(s):  
Nikolay N. Ledentsov ◽  
Jörg-R. Kropp ◽  
Vitaly A. Shchukin ◽  
Gunther Steinle ◽  
Nikolay N. Ledentsov ◽  
...  

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