topologic structure
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2019 ◽  
Vol 12 (11) ◽  
pp. 3390-3399 ◽  
Author(s):  
Yunfei Xing ◽  
Ruiheng Liu ◽  
Jinchen Liao ◽  
Qihao Zhang ◽  
Xugui Xia ◽  
...  

Combined high performance of self-propagating synthesized materials and topological structures optimization, half-Heusler single-stage module and half-Heusler/Bi2Te3 segmented module attained record-high conversion efficiencies of 9.6% and 12.4%.


2017 ◽  
Vol 21 (4) ◽  
pp. 985-1013 ◽  
Author(s):  
Xiaoyao Zheng ◽  
Yonglong Luo ◽  
Liping Sun ◽  
Xintao Ding ◽  
Ji Zhang

2017 ◽  
Vol 73 (5) ◽  
pp. 369-375 ◽  
Author(s):  
Chahrazed Trifa ◽  
Samia Mokhtari ◽  
Sofiane Bouacida ◽  
Chaouki Boudaren ◽  
Mhamed Boudraa ◽  
...  

Coordination of the anions of benzenecarboxylic acids with metal cations leads to coordination polymers with various structural features. Very few examples of strontium-based structures have been reported. A new three-dimensional coordination polymer, namely poly[aqua(μ12-benzene-1,2,4,5-tetracarboxylato)distrontium(II)], [Sr2(C10H2O8)(H2O)] n , has been synthesized under hydrothermal conditions and characterized by thermal analysis, vibrational spectroscopy (Raman and IR), single-crystal X-ray diffraction and powder X-ray diffraction. The coordination geometries around the two independent SrII ions can be described as a distorted dodecahedron and a distorted monocapped square antiprism. The compound features a three-dimensional structure containing inorganic motifs, with two-dimensional layers connected through organic linkers, and possesses a topologic structure of a binodal (6,12) connected alb net with the Schläfli symbol {415}2{448.618}. The final product of thermal decomposition is strontium oxide (SrO).


2017 ◽  
Vol 19 (45) ◽  
pp. 30498-30503 ◽  
Author(s):  
Xiaorui Sun ◽  
Rulong Zhou ◽  
B. Zhang

We have shown an ab initio MD simulation evidence that both f-localized Ce and f-delocalized Ce can coexist in the low-density-liquid phase of Ce.


2016 ◽  
Vol 90 ◽  
pp. 18-27 ◽  
Author(s):  
Stephanie Rendón de la Torre ◽  
Jaan Kalda ◽  
Robert Kitt ◽  
Jüri Engelbrecht

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Chengwei Ruan ◽  
Haiyan Yang ◽  
Lei Yu ◽  
Yingxin Kou

The paper aims at developing an efficient method to acquire a proper UCAV formation structure with robust and synchronized features. Here we introduce the RTBA (Route Temporary Blindness Avoidance) model to keep the structure stable and the HPSO (hybrid particle swarm optimization) method is given to find an optimal synchronized formation. The major contributions include the following: (1) setting up the dynamic hierarchy topologic structure of UCAV formation; (2) the RTB phenomenon is described and the RTBA model is put forward; (3) the node choosing rules are used to keep the invulnerability of the formation and the detective information quantifying method is given to measure the effectiveness of the connected nodes; and (4) the hybrid particle swarm optimization method is given to find an optimal synchronized topologic structure. According to the related principles and models, the simulations are given in the end, and the results show that the simplification of the model is available in engineering, and the RTBA model is useful to solve the real problems in combat in some degree.


2013 ◽  
Vol 765-767 ◽  
pp. 2345-2350
Author(s):  
Jian Chen ◽  
Lei Ma ◽  
Wei Zhang ◽  
Yao Li

The purpose of this study is to describe a novel topologic technology for wireless power transmitting through external coils to multiple implantable micro-electromechanical devices inside the patient body, which is able to solve the dilemma of recharging. Wireless power transmitters are designed based on class π-type topologic structure, which improves existing Class-E power amplifier structure and impedance matching technology. Mathematical Models based on resonating chopper MOSFET and class π-type impedance matching network are introduced to optimize the design parameters. Together with proper capacitors and high-flux, low-loss inductors, an optimal wireless power transmitter with significant characteristics of high efficiency and low loss takes advantage of this brand new type of topologic structure. The author designed and developed the RF oscillator and the actual class E power resonant amplifier. During studies, with the 12V power supply, the voltage of 96.8V is generated on the 50ohm high-power RF load side, along with source current of 2.183A. The efficiency of the system reaches 89.4%, which satisfied the need for implantable micro-electromechanical device.


2011 ◽  
Vol 114 (4) ◽  
pp. 872-881 ◽  
Author(s):  
UnCheol Lee ◽  
Markus Müller ◽  
Gyu-Jeong Noh ◽  
ByungMoon Choi ◽  
George A. Mashour

Background It is still unknown whether anesthetic state transitions are continuous or binary. Mathematical graph theory is one method by which to assess whether brain networks change gradually or abruptly upon anesthetic induction and emergence. Methods Twenty healthy males were anesthetized with an induction dose of propofol, with continuous measurement of 21-channel electroencephalogram at baseline, during anesthesia, and during recovery. From these electroencephalographic data a "genuine network" was reconstructed based on the surrogate data method. The effects of topologic structure and connection strength on information transfer through the network were measured independently across different states. Results Loss of consciousness was consistently associated with a disruption of network topology. However, recovery of consciousness was associated with complex patterns of altered connection strength after the initial topologic structure had slowly recovered. In one group of subjects, there was a precipitous increase of connection strength that was associated with reduced variability of emergence time. Analysis of regional effects on brain networks demonstrated that the parietal network was significantly disrupted, whereas the frontal network was minimally affected. Conclusions By dissociating the effects of network structure and connection strength, both continuous and discrete elements of anesthetic state transitions were identified. The study also supports a critical role of parietal networks as a target of general anesthetics.


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