Synergistic Effect of Photonic Crystals and Oxygen Vacancies on Photoelectrochemical Water Splitting of TiO2 Nanotube

2020 ◽  
Vol 15 (2) ◽  
pp. 226-230
Author(s):  
Ming Meng ◽  
Wei Qin ◽  
Chunyang Li ◽  
Kun Xu ◽  
Liuyang Xu ◽  
...  

TiO2 nanotube photonic crystals with a mass of oxygen vacancies (VO-TiO2 NTPCs) are prepared through a simple electrochemical reduction. The novel VO-TiO2 NTPCs produce a photocurrent density of 1.4 mA/cm2 at 0.22 V versus Ag/AgCl with Faradic efficiency of 100%, which is 1.75 times that of pristine TiO2NTPCs. The improved performance is contributed to the fact that the oxygen vacancies created by electrochemical reduction, which not only promote efficient utilization of the visible light absorption, but also increase electrical conductivity. This work will contribute to the design and fabrication of the TiO2nanotube-based photoelectric devices.

1987 ◽  
Vol 97 ◽  
Author(s):  
Steven A. Sunshine ◽  
Doris Kang ◽  
James A. Ibers

ABSTRACTThe use of A2 Q/Q melts (A - alkali metal, Q - S or Se) for the synthesis of new one-dimensional solid-state materials is found to be of general utility and is illustrated here for the synthesis of K4 Ti3 SI4. Reaction of Ti metal with a K2 S/S melt at 375°C for 50 h affords K4 Ti3 SI4. The structure possesses one-dimensional chains of seven and eightcoordinate Ti atoms with each chain isolated from all others by surrounding K atoms. There are six S-S pairs (dave - 2.069(3) Å) so that the compound is one of TiIV and may be described as K4 [Ti3 (S)2 (S2)6]. Electrical conductivity measurements indicate that this material is a semiconductor.


RSC Advances ◽  
2015 ◽  
Vol 5 (89) ◽  
pp. 73011-73019 ◽  
Author(s):  
Yanzhao Zhai ◽  
Yongjun Ji ◽  
Guangna Wang ◽  
Yongxia Zhu ◽  
Hezhi Liu ◽  
...  

Ternary CuO–Cu2O–Cu synthesized by a wet chemical method showed improved performance in the Rochow reaction due to the synergistic effect.


2020 ◽  
Vol 131 (2) ◽  
pp. 997-1007
Author(s):  
Yan Li ◽  
Li-Juan Jian ◽  
Xue Li ◽  
Fang-Ting Liu ◽  
Xiao-Fei Dong ◽  
...  

2021 ◽  
Author(s):  
Moez Guettari ◽  
Ahmed El Aferni

Efforts to combat the Covid-19 pandemic have not been limited to the processes of vaccine production, but they first began to analyze the dynamics of the epidemic’s spread so that they could adopt barrier measures to bypass the spread. To do this, the works of modeling, predicting and analyzing the spread of the virus continue to increase day after day. In this context, the aim of this chapter is to analyze the propagation of the Coronavirus pandemic by using the percolation theory. In fact, an analogy was established between the electrical conductivity of reverse micelles under temperature variation and the spread of the Coronavirus pandemic. So, the percolation theory was used to describe the cumulate infected people versus time by using a modified Sigmoid Boltzman equation (MSBE) and several quantities are introduced such as: the pandemic percolation time, the maximum infected people, the time constant and the characteristic contamination frequency deduced from Arrhenius equation. Scaling laws and critical exponents are introduced to describe the spread nature near the percolation time. The speed of propagation is also proposed and expressed. The novel approach based on the percolation theory was used to study the Coronavirus (Covid-19) spread in five countries: France, Italy, Germany, China and Tunisia, during 6 months of the pandemic spread (the first wave). So, an explicit expression connecting the number of people infected versus time is proposed to analyze the pandemic percolation. The reported MSBE fit results for the studied countries showed high accuracy.


2018 ◽  
Vol 279 ◽  
pp. 269-278 ◽  
Author(s):  
Dongsheng Sun ◽  
Yonghe Li ◽  
Xiaopeng Cheng ◽  
Huifeng Shi ◽  
Saddique Jaffer ◽  
...  

Author(s):  
Yuri V. Pakharukov ◽  
Farid K. Shabiev ◽  
Ruslan F. Safargaliev ◽  
Boris S. Yezdin ◽  
Valery V. Kalyada

Graphene, due to its two-dimensional structure, has some unique properties. For example, the thermal conductivity and electrical conductivity of graphene are an order of magnitude higher than the thermal conductivity and electrical conductivity of copper. For this reason, graphene-based nanofluids are now used in many industries. Due to the effect of self-organization of graphene nanoparticles with hydrocarbon molecules, the use of graphene has become possible in the oil industry. Graphene-based nanofluids are used as a displacement fluid to increase the oil recovery coefficient. The displacing ability of graphene-based nanofluids is concentration dependent. An increase in the concentration of nanoparticles entails an increase in viscosity, which negatively affects the performance characteristics of the nanofluid. This problem is partially solved due to the synergistic effect, hybrid nanofluids consisting of nanoparticles of graphene and metals or carbides enhance the displacing ability. Using atomic force microscopy, scanning electron microscopy and molecular modelling methods, this work has studied the formation of supramolecular structures that form a transition region at the oil-nanofluid interface with low surface tension as a result of a synergistic effect in the interaction of graphene planar nanoparticles and silicon carbide nanoparticles covered with graphene layers (Core-shell). The model experiments on a Hele-Shaw cell have shown that in a porous medium, such hybrid nanofluids have a high displacement ability of residual oil. At the same time, the oil — nanofluid interface remains stable, without the formation of viscous fingers. During the study by scanning electron microscopy, a transition region was observed, in the structuring of which the nanoparticles were directly involved. The displacement efficiency of a hybrid nonofluid depends on the concentration of nanoparticles and their interaction.


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