关于县(市)电信光纤物理网建设的几点意见

对县（市）光纤物理网的几点意见，并介绍如何合理规划。     

分布式光纤喇曼放大技术及其在WDM系统中的应用

介绍了分布式光纤喇曼放大技术的原理、特点和应用 ,并从受此影响的 WDM传输系统的信噪比、噪声指数和品质因数三个方面讨论了光纤喇曼放大技术在提升光纤通信系统性能方面的重要作用。     

几种新型多波长光纤激光器

综合报道几种新型多波长光纤激光器 ,并对这些激光器的机理、实验装置和研究结果进行了详细介绍 ,对今后多波长激光器的发展方向作一展望。     

侧面泵浦Nd：YAG连续激光器

介绍了一种二极管侧面泵浦的Nd:YAG连续激光器，采用了简单、实用的侧面泵浦结构，获得了37.9W的连续1.064nm的激光输出，斜效率为31.5%，光效率为23．7％。     

激光熔覆钴基合金涂层的组织结构

利用5kWCO2连续激光器在16Mn钢表面进行激光熔覆钴基合金涂层，研究了激光覆合金涂层的显微组织形貌，相结构以及显微硬度。激光熔覆涂层可分为三个区域：熔化区（合金层）结合区及基材热影响区。合金涂层由γ-Co枝晶及其间的共晶组织组成，合金涂层的主要组成相为γ-Co和（Cr,Fe)7^C3。     

光传送网技术及其进展

对光传送网有待解决的基本概念、技术及其进展进行了介绍 ,对光传送网可能采用的几种技术进行了比较并对有待解决的问题进行了阐述 ,最后在分析了国内外发展光传送技术状况的基础上 ,就我国开展光传送网络研究的建议提出个人的看法。     

Bioinspired Hierarchically Structured All‐Inorganic Nanocomposites with Significantly Improved Capacitive Performance

Lead‐free dielectric ceramics have been the spotlight in the search for environmentally benign materials for electrostatic energy storage because of the ever‐increasing environmental concerns. However, the inverse correlation between the polarization and dielectric breakdown strength is the major barrier hindering the provision of sufficient energy densities in lead‐free dielectric ceramics and practical applications thereof. Herein, a rational structure design inspired by nature is demonstrated as an effective strategy to overcome these challenges. Bioinspired raspberry‐like hierarchically structured all‐inorganic nanocomposites have been prepared by enclosing microsized BaTiO₃‐Bi(Mg_0.5Zr_0.5)O₃ (BT‐BMZ) relaxor ferroelectrics using core‐shell BT‐BMZ@SiO₂ nanoparticles. The synergistic effects of the bioinspired hierarchical structure and insulating SiO₂ nano‐coating result in significantly improved dielectric breakdown strength and sustained large polarization in the nanocomposites, as corroborated by experimental characterizations and theoretical simulations. As a result, an ultrahigh energy density of 3.41 J cm^?3 and a high efficiency of 85.1%, together with outstanding thermal stability within a broad temperature range, have been simultaneously achieved in the hierarchically structured nanocomposites. This contribution provides a feasible and paradigmatic approach to develop high‐performance dielectrics for electrostatic energy storage applications using bioinspired structure design.     

Cellulose Nanofibrils Enhanced,Strong, Stretchable,Freezing‐Tolerant Ionic Conductive Organohydrogel for Multi‐Functional Sensors

To date, ionic conducting hydrogel attracts tremendous attention as an alternative to the conventional rigid metallic conductors in fabricating flexible devices, owing to their intrinsic characteristics. However, simultaneous realization of high stiffness, toughness, ionic conductivity, and freezing tolerance through a simple approach is still a challenge. Here, a novel highly stretchable (up to 660%), strong (up to 2.1 MPa), tough (5.25 MJ m^?3), and transparent (up to 90%) ionic conductive (3.2 S m^?1) organohydrogel is facilely fabricated, through sol–gel transition of polyvinyl alcohol and cellulose nanofibrils (CNFs) in dimethyl sulfoxide‐water solvent system. The ionic conductive organohydrogel presents superior freezing tolerance, remaining flexible and conductive (1.1 S m^?1) even at ?70 °C, as compared to the other reported anti‐freezing ionic conductive (organo)hydrogel. Notably, this material design demonstrates synergistic effect of CNFs in boosting both mechanical properties and ionic conductivity, tackling a long‐standing dilemma among strength, toughness, and ionic conductivity for the ionic conducting hydrogel. In addition, the organohydrogel displays high sensitivity toward both tensile and compressive deformation and based on which multi‐functional sensors are assembled to detect human body movement with high sensitivity, stability, and durability. This novel organohydrogel is envisioned to function as a versatile platform for multi‐functional sensors in the future.     

Engineering Surface Atomic Architecture of NiTe Nanocrystals Toward Efficient Electrochemical N2 Fixation

Efficient N₂ fixation at ambient condition through electrochemical processes has been regarded as a promising alternative to traditional Haber–Bosch technology. Engineering surface atomic architecture of the catalysts to generate desirable active sites is important to facilitate electrochemical nitrogen reduction reaction (NRR) while suppressing the competitive hydrogen evolution reaction. Herein, nickel telluride nanocrystals with selectively exposed {001} and {010} facets are synthesized by a simple process, realizing the manipulation of surface chemistry at the atomic level. It is found that the catalysts expose the {001} facets coupled with desirable Ni sites, which possess high Faraday efficiency of 17.38 ± 0.36% and NH₃ yield rate of 33.34 ± 0.70 μg h^?1 mg^?1 at ‐0.1 V vs RHE, outperforming other samples enclosed by {010} facets (8.56 ± 0.22%, 12.78 ± 0.43 μg h^?1 mg^?1). Both experimental results and computational simulations reveal that {001} facets, with selectively exposed Ni sites, guarantee the adsorption and activation of N₂ and weaken the binding for *H species. Moreover, the enhanced reduction capacity and accelerated charge transfer kinetics also contribute the superior NRR performance of {001} facets. This work presents a novel strategy in designing nonprecious NRR electrocatalyst with exposed favorable active sites.     

Terminal location method with NLOS exclusion based on unsupervised learning in 5G‐LEO satellite communication systems

We investigate the terminal location method in 5G‐Low Earth Orbit (5G‐LEO) satellite communication systems. To overcome the dependence on the external Global Navigation Satellite System (GNSS), we propose to use a single LEO satellite in 5G‐LEO satellite communication systems for terminal location and utilize the downlink synchronization detection for pseudorange differential measurement. Then, a data clustering method of unsupervised machine learning is proposed to classify the measured data into line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) signals. Furthermore, the NLOS data are excluded, and the Taylor series expansion iteration method is used to calculate the terminal coordinates. Simulation results show that the proposed method can effectively reduce the influence of NLOS error on measurement results and improve the accuracy of terminal location. In simulated urban scenario, the average location accuracy is improved from 10 km by traditional methods to 0.7 km and the convergence time is reduced from 400 to 250s.