Twisted bounded-dilation group C*-algebras as C*-metric algebras

We construct a class of C~*-metric algebras. We prove that for a discrete group Γ with a 2-cocycle σ,the closure of the seminorm ||[M?, ·]|| on Cc(Γ, σ) is a Leibniz Lip-norm on the twisted reduced group C~*-algebra C*r(Γ, σ) for the pointwise multiplication operator M?on ?2(Γ), induced by a proper length function ? on Γ with the property of bounded θ-dilation. Moreover, the compact quantum metric space structures depend only on the cohomology class of 2-cocycles in the Lipschitz isometric sense.     

银纳米颗粒对聚合物太阳能电池性能的提高

采用水溶性银纳米颗粒附着在反型太阳能电池的电子传输层上,用以提高有机太阳能电池的短路电流。所制备的器件结构为ITO/ZnO/Ag NPs/P3HT(Poly 3-hexylthiophene):PC_[60]BM/MoO₃/Ag。其金属银纳米颗粒的表面等离激元在410 nm处出现了共振吸收峰,半峰全宽约为60 nm。器件的光电流在可见光范围内均有所增加,短路电流相对于标准器件提高了20.2%,光电转化效率相对提高了17.2%。     

Analysis of 1:1 internal resonance of a CFRP cable with an external 1/3 subharmonic resonance

Nonlinear Dynamics - Based on the non-planar vibration equations of a cable made of carbon fiber reinforced polymer (CFRP), the nonlinear behaviors of the cable are studied. The one-to-one internal...     

Effects of hydroxyethyl methyl cellulose ether on the hydration and compressive strength of calcium aluminate cement

Journal of Thermal Analysis and Calorimetry - Aluminate containing phases such as tricalcium aluminate (C3A) and dodecacalcium heptaaluminate (C12A7) play a key role in the reaction between...     

基于U-Net的盐体识别方法

卷积神经网络在计算机视觉领域取得重大突破，利用其强大的图像处理能力，将地下沉积盐体的识别问题转化为图像语义分割问题，应用深度卷积神经网络实现盐体地震图像的像素级语义分割.本文在U-Net基础上，增加网络深度并同时引入批归一化和Dropout处理，使得神经网络模型具有更高的可信度和更强的泛化能力.通过实验发现，在卷积层之后引入批归一化处理，并在池化层和叠加层之后引入Dropout可以稳定提升模型对盐体图像的分割性能.     

A plane wave least squares method for the Maxwell equations in anisotropic media

Numerical Algorithms - In this paper, we first consider the time-harmonic Maxwell equations with Dirichlet boundary conditions in three-dimensional anisotropic media, where the coefficients of the...