scholarly journals Scattering Optimization of Photonic Cluster: From Minimal to Maximal Reflectance

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
V. V. Prosentsov

Scattering optimization is a challenging engineering problem with an extensive list of potential applications. For some practical applications, the reflectance of the photonic cluster should be variable from minimal to maximal values. The theoretical investigation of such problem is extremely difficult due to multiple interactions between particles in the cluster. In this paper, the optimization of the light scattered by the photonic cluster made of small particles is studied with the help of the special optimization algorithm and the local perturbation method. It was shown that the photonic cluster can be transformed in such a way that its reflectance will be increased or decreased by several orders of magnitude for selected wavelength and direction.

2017 ◽  
Vol 10 (06) ◽  
pp. 1750075 ◽  
Author(s):  
Xingping Wu ◽  
Aiping Zhu ◽  
Zhaodong Nan

Fe3O4 hollow microspheres with good dispersibility and high saturation magnetization were synthesized through a facile one-step solvothermal method. The formation mechanism of the hollow structure was studied by taking time-dependent experiments. Porous [Formula: see text]-FeOOH and [Formula: see text]-Fe2O3 nanosheets were firstly fabricated. Fe3O4 solid spheres aggregated by small particles were obtained from the transition of [Formula: see text]-FeOOH and [Formula: see text]-Fe2O3. Finally, the solid sphere is transferred to hollow sphere through Ostwald ripening. The maximum saturation magnetization of the hollow spheres is [Formula: see text][Formula: see text]emu/g, which is higher than some results reported in references. The Fe3O4 hollow spheres show potential applications in microwave absorption and photocatalysis.


2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Zhehuang Huang

Quantum particle swarm optimization (QPSO) is a population based optimization algorithm inspired by social behavior of bird flocking which combines the ideas of quantum computing. For many optimization problems, traditional QPSO algorithm can produce high-quality solution within a reasonable computation time and relatively stable convergence characteristics. But QPSO algorithm also showed some unsatisfactory issues in practical applications, such as premature convergence and poor ability in global optimization. To solve these problems, an improved quantum particle swarm optimization algorithm is proposed and implemented in this paper. There are three main works in this paper. Firstly, an improved QPSO algorithm is introduced which can enhance decision making ability of the model. Secondly, we introduce synergetic neural network model to mangroves classification for the first time which can better handle fuzzy matching of remote sensing image. Finally, the improved QPSO algorithm is used to realize the optimization of network parameter. The experiments on mangroves classification showed that the improved algorithm has more powerful global exploration ability and faster convergence speed.


Author(s):  
Vandana ◽  
Navdeep Kaur

The digitalization has been challenged with the security and privacy aspects in each and every field. In addition to numerous authentication methods, biometrics has been popularized as it relies on one’s individual behavioral and physical characters. In this context, numerous unimodal and multimodal biometrics have been proposed and tested in the last decade. In this paper, authors have presented a comprehensive survey of the existing biometric systems while highlighting their respective challenges, advantage and limitations. The paper also discusses the present biometric technology market value, its scope, and practical applications in vivid sectors. The goal of this review is to offer a compact outline of various advances in biometrics technology with potential applications using unimodal and multimodal bioinformatics are discussed that would prove to offer a base for any biometric-based future research.


Author(s):  
Caitlin Amelia Casey-Stevens ◽  
Mingrui Yang ◽  
Geoffrey Robert Weal ◽  
Sam M McIntyre ◽  
Brianna K. Nally ◽  
...  

Understanding the structure of bimetallic clusters is increasingly important due to their emerging practical applications. Herein we investigate the structure of 38 atom CuPd clusters using a genetic algorithm with...


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Sadegh Mehdi Aghaei ◽  
Ingrid Torres ◽  
Irene Calizo

Silicene, a novel graphene-like material, has attracted a significant attention because of its potential applications for nanoelectronics. In this paper, we have theoretically investigated the structural stability of edge-hydrogenated and edge-fluorinated silicene nanoribbons (SiNRs) via first-principles calculations. Various edge forms of SiNRs including armchair edge, zigzag edge, Klein edge, reconstructed Klein edge, reconstructed pentagon-heptagon edge, and hybrid edges have been considered. It has been found that fully fluorinated Klein edge SiNRs, in which each edge Si atom is terminated by three fluorine atoms, are the most stable structure. We also discovered that a hybrid edge structure of trihydrogenated Klein edge and dihydrogenated zigzag edge can increase the nanoribbon’s stability up to that of dihydrogenated armchair edge SiNR, which is known as the most stable edge-hydrogenated structure. With the attractive properties of silicene for practical applications, the obtained results will advance experimental investigations toward the development of silicene based devices.


Author(s):  
A Sinaie ◽  
A Ziaie

The equations of particle motion in an elastic isotropic stressed medium are first derived in Cartesian coordinates and then transformed into cylindrical coordinates. The three components of the equations of motion are non-linear partial differential equations and cannot be of use in practical applications. However, noting that the particle displacement is composed of a small dynamic part superimposed on a large static part, these equations are linearized via a simple perturbation method. The linearized equations are presented in closed form. They contain variables, which may be measured and experimented upon in practice, in the field of acoustoelasticity.


2006 ◽  
Vol 16 (04) ◽  
pp. 775-858 ◽  
Author(s):  
JINHU LÜ ◽  
GUANRONG CHEN

Over the last two decades, theoretical design and circuit implementation of various chaos generators have been a focal subject of increasing interest due to their promising applications in various real-world chaos-based technologies and information systems. In particular, generating complex multiscroll chaotic attractors via simple electronic circuits has seen rapid development. This article offers an overview of the subject on multiscroll chaotic attractors generation, including some fundamental theories, design methodologies, circuit implementations and practical applications. More precisely, the article first describes some effective design methods using piecewise-linear functions, cellular neural networks, nonlinear modulating functions, circuit component design, switching manifolds, multifolded tori formation, and so on. Based on different approaches, computer simulation and circuit implementation of various multiscroll chaotic attractors are then discussed in detail, with some theoretical proofs and laboratory experiments presented for verification and demonstration. It is then followed by some discussion on potential applications of multiscroll chaotic attractors, including secure and digital communications, synchronous prediction, random bit generation, and so on. The article is finally concluded with some future research outlooks, putting the important subject into engineering perspective.


A study is made of the spontaneous percolation occurring when particles fall under gravity through a fixed bed of larger particles. A variety of different circumstances arise in practical applications in for example powder mixing but there are two limiting cases which are still both important. The first is when small particles cascade almost elastically through an ensemble of layer particles. It is shown that the percolation velocity is proportional to (1 – α ) 1/4 , where α is the coefficient of restitution.The diffusion tensor is calculated from which Péclet numbers are derived. These results are compared with computer experiments with reasonable agreement. The second case is of almost inelastic interactions when the percolating particle slithers and drops into the next encounter in the fixed bed. The distributions of landing angles (the angles which the percolating particles make on the spherical obstacle on landing) and the Péclet numbers are deduced and differ substantially from random models. It is shown that there is low radial diffusion and the Péclet number is high.


Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-26
Author(s):  
Cheng Huang ◽  
Rongjuan Huang ◽  
Simin Zhang ◽  
Haodong Sun ◽  
Hailan Wang ◽  
...  

Photodeformable materials are a class of molecules that can convert photon energy into mechanical energy, which have attracted tremendous attention in the last few decades. Owing to their unique photoinduced deformable properties, including fast light-response and diverse mechanical behaviors, photodeformable materials have exhibited great potential in many practical applications such as actuators, photoswitches, artificial muscles, and bioimaging. In this review, we sort out the current state of photodeformable crystals and classify them into six categories by molecular structures: diarylethenes, azobenzenes, anthracenes, olefins, triarylethylenes, and other systems. Three distinct light-responsive mechanisms, photocyclization, trans-cis isomerization, and photodimerization, are revealed to play significant roles in the molecular photodeformation. Their corresponding photodeformable behaviors such as twisting, bending, hopping, bursting, and curling, as well as the potential applications, are also discussed. Furthermore, the challenges and prospective development directions of photodeformable crystals are highlighted.


Author(s):  
Manuel Woschank ◽  
Helmut Zsifkovits

Industry 4.0 approaches have gained increasing relevance and impact on logistics research and practical applications. However, logistics research often focuses on the investigation of isolated concepts, which leads to a systematic neglect of more holistic research frameworks. Therefore, this paper conceptualises Smart Logistics as an important element within the context of Industry 4.0 approaches. Furthermore, a set of technological concepts for Smart Logistics is identified and potential applications are outlined and discussed. Moreover, the paper presents recent developments in the area of Smart Logistics based on both primary and secondary data analyses and recommends further directions for future research efforts.


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