基于SOI衬底的宽带低损耗声表面波滤波器研究

使用结构为42°Y-X LiTaO₃(600 nm)/SiO₂(500 nm)/Si的SOI衬底，通过抑制横向模式等优化设计，研制了单端谐振器和声表面波滤波器。经测试，谐振器的谐振频率为1.5 GHz，品质因数(Q)值高达4 000；滤波器的中心频率为1 370 MHz，插入损耗为-1.2 dB，1 dB带宽为74 MHz，相对带宽达到5.4%，阻带抑制大于40 dB，且温度系数在-55~+85 ℃时优于-9×10^-6/℃。该产品具有高频、宽带、低损耗、低温漂、高阻带抑制的特点，其性能指标优异，具有很好的实用性。     

Priority-MECE: A Mobile Edge Cloud Ecosystem Based on Priority Tasks Offloading

Mobile Networks and Applications - With the rapid development of Internet of things, the traditional city model is no longer applicable. Therefore, the emerging concept of smart city meets the...     

Improving gelling properties of myofibrillar proteins incorporating with cellulose micro/nanofibres

The effects of cellulose microfibres (CMFs, Average size: 100 ± 5 μm) and cellulose nanofibres (CNFs, Average size: 60 ± 3 nm) on the properties of myofibrillar protein (MP) gels from duck breast meat were studied. The results demonstrated that CMFs and CNFs were mostly connected to MP by non-covalent bonds, the diffusion and cross-linking of MP molecules was promoted, and a denser and more complete gel network was formed. With the increases of CMFs and CNFs concentration (0–10%), the hardness was increased by 13.15% and 19.78% for CMFs10% and CNFs10% gels, respectively, and the elasticity was increased by 40% and 80%, respectively. At the same concentration (0–10%), the increase in gel hardness, viscoelasticity and immobilised water content was greater in the CNFs-MP group than in the CMFs-MP group. The CNFs-MP group had a tighter gel network, and CNFs had a better potential to improve the gelation performance of MP.     

Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph

Neural Processing Letters - Graph convolutional networks (GCNs), which rely on graph structures to aggregate information of neighbors to output robust node embeddings, have been becoming a popular...     

电动汽车用动力电池振动疲劳测试方法开发

动力电池是当前新能源汽车中的核心零件,其性能,安全,可靠与耐久性直接影响整个车辆安全耐久性能,而电池系统的抗振动冲击特性是产品开发设计过程中需要满足的重要指标.文中着重阐述动力电池振动疲劳的测试验证策略与具体实施指导,为电池系统研发和测试工作提供重要参考.     

Nanoporous Surface High-Entropy Alloys as Highly Efficient Multisite Electrocatalysts for Nonacidic Hydrogen Evolution Reaction

Electrocatalytic hydrogen evolution in alkaline and neutral media offers the possibility of adopting platinum-free electrocatalysts for large-scale electrochemical production of pure hydrogen fuel, but most state-of-the-art electrocatalytic materials based on nonprecious transition metals operate at high overpotentials. Here, a monolithic nanoporous multielemental CuAlNiMoFe electrode with electroactive high-entropy CuNiMoFe surface is reported to hold great promise as cost-effective electrocatalyst for hydrogen evolution reaction (HER) in alkaline and neutral media. By virtue of a surface high-entropy alloy composed of dissimilar Cu, Ni, Mo, and Fe metals offering bifunctional electrocatalytic sites with enhanced kinetics for water dissociation and adsorption/desorption of reactive hydrogen intermediates, and hierarchical nanoporous Cu scaffold facilitating electron transfer/mass transport, the nanoporous CuAlNiMoFe electrode exhibits superior nonacidic HER electrocatalysis. It only takes overpotentials as low as ≈240 and ≈183 mV to reach current densities of ≈1840 and ≈100 mA cm⁻² in 1 m  KOH and pH 7 buffer electrolytes, respectively; ≈46- and ≈14-fold higher than those of ternary CuAlNi electrode with bimetallic Cu–Ni surface alloy. The outstanding electrocatalytic properties make nonprecious multielemental alloys attractive candidates as high-performance nonacidic HER electrocatalytic electrodes in water electrolysis.     

基于JESD204B协议高速并行8 bit/10 bit解码电路设计

提出了一种高速低延时8 bit/10 bit解码电路结构,采用四路并行通道同时处理输入数据,每一路具有K码检测、输入数据查错功能,能够在输入四路10 bit数据后的一个时钟周期内正确完成解码.所设计的解码电路通过搭建的通用验证方法学系统完成系统级功能验证,并基于65 nm工艺库进行综合、布局和布线,解码电路的面积为1 449 μm2.后仿真结果显示,解码电路的最高工作频率达415 MHz,四路可支持最高16.6 Gibit/s的串行数据传输速率,满足JESD204B协议标准推荐的最高传输速率12.5 Gibit/s的要求.将该解码电路用于支持JESD204B协议的高速数模转换器电路中,经测试,其传输速率最高达10.5 Gibit/s.