Walnut-inspired microsized porous silicon/graphene core–shell composites for high-performance lithium-ion battery anodes

Silicon is considered an exceptionally promising alternative to the most commonly used material, graphite, as an anode for next-generation lithium-ion batteries, as it has high energy density owing to its high theoretical capacity and abundant storage. Here, microsized walnut-like porous silicon/reduced graphene oxide (P-Si/rGO) core–shell composites are successfully prepared via in situ reduction followed by a dealloying process. The composites show specific capacities of more than 2,100 mAh·g^?1 at a current density of 1,000 mA·g^?1, 1,600 mAh·g^?1 at 2,000 mA·g^?1, 1,500 mAh·g^?1 at 3,000 mA·g^?1, 1,200 mAh·g^?1 at 4,000 mA·g^?1, and 950 mAh·g^?1 at 5,000 mA·g^?1, and maintain a value of 1,258 mAh·g^?1 after 300 cycles at a current density of 1,000 mA·g^?1. Their excellent rate performance and cycling stability can be attributed to the unique structural design: 1) The graphene shell dramatically improves the conductivity and stabilizes the solid–electrolyte interface layers; 2) the inner porous structure supplies sufficient space for silicon expansion; 3) the nanostructure of silicon can prevent the pulverization resulting from volume expansion stress. Notably, this in situ reduction method can be applied as a universal formula to coat graphene on almost all types of metals and alloys of various sizes, shapes, and compositions without adding any reagents to afford energy storage materials, graphene-based catalytic materials, graphene-enhanced composites, etc.

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生物模板法合成锂离子电池电极材料研究进展

锂离子电池是一类极具潜力的新型二次化学储能器件,被广泛应用于便携式电子设备、电动交通工具和智能电网等领域。高性能电极材料的设计和合成是获得高能量密度、长循环寿命、高安全性锂离子电池的关键。文章针对锂离子电池电极材料存在制备工艺复杂、结构难以控制、活性物质利用率低、循环稳定性和倍率性能差等问题,从生物资源高效利用角度出发,结合生物材料尺寸均匀、形态多变、结构精密、环境友好等优点,综述了生物模板法合成锂离子电池电极材料的研究进展,并对该领域的发展方向进行了展望。     

基于MATLAB的同步发电机PSS与励磁系统仿真

在分析同步发电机励磁控制系统模型的基础上,研究了以电力系统稳定器（Power System Stabilizer—PSS）为辅助控制的同步发电机励磁控制方式,并基于MATLAB／SIMULINK构建了包含PSS的励磁控制系统的仿真模型。根据仿真结果分析在电力系统出现不同故障（三线短路以及断线故障）情况下带有PSS的励磁控制系统的控制性能,并与不加载PSS的励磁系统进行了比较,得到了在同步机励磁系统中加载PSS的必要性,为励磁系统的设计提供了依据。     

基于Mega169的空调控制器的设计

采用单片机技术,设计了一种车用空调控制器.控制器可对空调的各个部件进行控制,实现制冷制热、调整风量及控制风口的变换等操作.系统采用液晶显示屏显示,由程序控制实现各个环节的功能,方便了汽车驾驶员的操作.该设计具有很高的实用价值,可适用于现有的大多数汽车以及工程车.     

氡及其子体运移仿真系统开发

基于.net开发平台,借助C讨论了仿真系统的软件实现过程,简述了系统的功能模块及关键技术实现.实现了氡及其子体运移机制研究的计算机化.     

Predication based immune network for multimodal function optimization

For the problem of indeterminate direction of local search, lacking of efficient regulation mechanism between local search and global search and regenerating new antibodies randomly in the original optimization version of artificial immune network (opt-aiNet), this paper puts forward a novel predication based immune network (PiNet) to solve multimodal function optimization more efficiently, accurately and reliably. The algorithm mimics natural phenomenon in immune system such as clonal selection, affinity maturation, immune network, immune memory and immune predication. The proposed algorithm includes two main features with opt-aiNet. The information of antibodies in continuous generations is utilized to point out the direction of local search and to adjust the balance between local and global search. PiNet also employs memory cells to generate new antibodies with high affinities. Theory analysis and experiments on 10 widely used benchmark problems show that when compared with opt-aiNet method, PiNet algorithm is capable of improving search performance significantly in successful rate, convergence speed, search ability, solution quality and algorithm stability.     

针对发音质量评测的声学模型优化算法

在发音质量评测研究中,传统仅用发音标准的数据进行声学建模,难以描述实际测试面临的非标准发音,使得训练与测试的失配在所难免。针对上述问题,该文提出一种利用覆盖各种发音的数据,根据最小化机器分与人工分均方误差准则进行声学模型优化的算法。实验在普通话水平考试现场3 685份数据(其中498份测试,3 187份训练)上进行。实验表明采用优化算法得到的针对发音质量的评测声学模型相比传统建模方式得到的声学模型有显著的优势。     

基于遗传算法的多处理器系统任务调度

用一种遗传算法的调度策略,以大维度矩阵求逆为实验对象,探索在多核中如何完成任务的均衡分配问题,以达到加速效果.算法利用系统资源的弹性,自动搜寻可以并行的子任务并将其合理地分配到相应计算节点中,提高了多核系统资源调度性能,实现了对用户提交的任务的优化调度,达到了均衡系统各处理器计算负载和提高多核系统的总体性能的目标.