Anisotropic nanomaterials: structure, growth, assembly, and functions

Comprehensive knowledge over the shape of nanomaterials is a critical factor in designing devices with desired functions. Due to this reason, systematic efforts have been made to synthesize materials of diverse shape in the nanoscale regime. Anisotropic nanomaterials are a class of materials in which their properties are direction-dependent and more than one structural parameter is needed to describe them. Their unique and fine-tuned physical and chemical properties make them ideal candidates for devising new applications. In addition, the assembly of ordered one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) arrays of anisotropic nanoparticles brings novel properties into the resulting system, which would be entirely different from the properties of individual nanoparticles. This review presents an overview of current research in the area of anisotropic nanomaterials in general and noble metal nanoparticles in particular. We begin with an introduction to the advancements in this area followed by general aspects of the growth of anisotropic nanoparticles. Then we describe several important synthetic protocols for making anisotropic nanomaterials, followed by a summary of their assemblies, and conclude with major applications

Study of e+e−→ppˉe^+e^- \rightarrow p\bar{p} in the vicinity of ψ(3770)\psi(3770)

Using 2917 $\rm{pb}^{-1}$ of data accumulated at 3.773~$\rm{GeV}$, 44.5~$\rm{pb}^{-1}$ of data accumulated at 3.65~$\rm{GeV}$ and data accumulated during a $\psi(3770)$ line-shape scan with the BESIII detector, the reaction $e^+e^-\rightarrow p\bar{p}$ is studied considering a possible interference between resonant and continuum amplitudes. The cross section of $e^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p}$, $\sigma(e^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p})$, is found to have two solutions, determined to be ($0.059\pm0.032\pm0.012$) pb with the phase angle $\phi = (255.8\pm37.9\pm4.8)^\circ$ ($<$0.11 pb at the 90% confidence level), or $\sigma(e^+e^-\rightarrow\psi(3770)\rightarrow p\bar{p}) = (2.57\pm0.12\pm0.12$) pb with $\phi = (266.9\pm6.1\pm0.9)^\circ$ both of which agree with a destructive interference. Using the obtained cross section of $\psi(3770)\rightarrow p\bar{p}$, the cross section of $p\bar{p}\rightarrow \psi(3770)$, which is useful information for the future PANDA experiment, is estimated to be either ($9.8\pm5.7$) nb ($<17.2$ nb at 90% C.L.) or $(425.6\pm42.9)$ nb

Thermoelectric generator (TEG) technologies and applications

2021 The Author(s). Nowadays humans are facing difficult issues, such as increasing power costs, environmental pollution and global warming. In order to reduce their consequences, scientists are concentrating on improving power generators focused on energy harvesting. Thermoelectric generators (TEGs) have demonstrated their capacity to transform thermal energy directly into electric power through the Seebeck effect. Due to the unique advantages they present, thermoelectric systems have emerged during the last decade as a promising alternative among other technologies for green power production. In this regard, thermoelectric device output prediction is important both for determining the future use of this new technology and for specifying the key design parameters of thermoelectric generators and systems. Moreover, TEGs are environmentally safe, work quietly as they do not include mechanical mechanisms or rotating elements and can be manufactured on a broad variety of substrates such as silicon, polymers and ceramics. In addition, TEGs are position-independent, have a long working life and are ideal for bulk and compact applications. Furthermore, Thermoelectric generators have been found as a viable solution for direct generation of electricity from waste heat in industrial processes. This paper presents in-depth analysis of TEGs, beginning with a comprehensive overview of their working principles such as the Seebeck effect, the Peltier effect, the Thomson effect and Joule heating with their applications, materials used, Figure of Merit, improvement techniques including different thermoelectric material arrangements and technologies used and substrate types. Moreover, performance simulation examples such as COMSOL Multiphysics and ANSYS-Computational Fluid Dynamics are investigated

Q-extensions of some results involving the Luo-Srivastava generalizations of the Apostol-Bernoulli and Apostol-Euler polynomials

Carlitz firstly defined the q-Bernoulli and q-Euler polynomials [Duke Math. J., 15 (1948), 987- 1000]. Recently, M. Cenkci and M. Can [Adv. Stud. Contemp. Math., 12 (2006), 213-223], J. Choi, P. J. Anderson and H. M. Srivastava [ Appl. Math. Comput., 199 (2008), 723-737] further defined the q-Apostol-Bernoulli and q-Apostol-Euler polynomials. In this paper, we show the generating functions and basic properties of the q-Apostol-Bernoulli and q-Apostol-Euler polynomials, and obtain some relationships between the q-Apostol-Bernoulli and q-Apostol-Euler polynomials which are the corresponding q-extensions of some known results. Some formulas in series of q-Stirling numbers of the second kind are also considered.</jats:p

Effects of Various Factors on the Viv-Induced Fatigue Damage In The Cable Of Submerged Floating Tunnel

According to the modal superposition method, the vortex vibration procedure of submerged floating tunnel cable was compiled using Matlab, based on the calculated results, the fatigue damage was predicted. The effects of various factors, such as cable density, cable length, and pretension and velocity distribution on vortex induced fatigue damage in the cable were studied. The results show that velocity distribution has more effect on the cable fatigue damage than cable length, cable density and pre-tension. Secondly, cable length has also relatively effect on the cable damage fatigue, cable density and pretension has limited in a certain range

A Research and Improvement on a Maximum Power Point Tracking Method for PV System under Partially Shaded Conditions

AbstractThe output characteristic of Photovoltaic cells is nonlinear. When PV module is under partially shaded conditions, the output power-voltage curve contains multi-local maximum points. This paper presents a new complex algorithm to track the maximum power point (MPP) in complex conditions. This algorithm is used in photovoltaic energy system simulation model what established in PROTEUS simulation platform, and proved that it can track maximum power point of PV module more quickly and accurately than other algorithms