高效学习的透过未知散射介质的相位恢复方法

透过散射介质对目标进行准确的重建仍然是阻碍人们对深层生物组织成像分析和深空天文观测的主要挑战之一。基于深度学习的散射计算成像方法虽然在成像质量和效率等方面取得了很大的进展,但是针对实际系统中散射介质状态不固定,目标结构具有较高复杂度以及可获取的训练散射数据有限的情况下,单纯利用数据驱动的方法已无法进行准确高效的重建。将散斑相关原理和卷积神经网络强大的数据挖掘和映射能力进行有效的结合,进一步挖掘和利用散斑所包含的冗余信息,实现了仅利用一块薄散射介质对应的散斑数据即可实现透过具有不同统计特性散射介质的复杂目标重构。该方法针对实际散射场景复杂多变和训练样本数据有限的情况,实现了对复杂目标的高质量恢复,有力地推动了基于物理感知的学习方法在实际散射场景中的应用。     

A Hybrid Strategy-Based Ultra-Narrow Stretchable Microelectrodes with Cell-Level Resolution

Stretchable ultra-narrow (e.g., 10 µm in width) microelectrodes are crucial for the electrophysiological monitoring of single cells providing the fundamental understanding to the working mechanism of neuro network or other electrically functional cells. Current fabrication strategies either focus on the preparation of normal stretchable electrodes with hundreds of micrometers or millimeters in width by using inorganic conductive materials or develop conductive organic polymer gel for ultra-narrow electrodes which suffer from low stretchability and instability for long-term implantation, therefore, it is still highly desirable to explore bio-interfacial ultra-narrow stretchable inorganic electrodes. Herein, a hybrid strategy is reported to prepare ultra-narrow multi-channel stretchable microelectrodes without using photolithography or laser-assisting etching. A 10 µm × 10 µm monitoring window is fabricated with enhanced interfacial impedance by the special rough surface. The stretchability achieves to 120% for this 10 µm-width stretchable electrode. Supported by these superior properties, it is demonstrated that the stretchable microelectrodes can detect electrophysiological signals of single cells in vitro and collect electrophysiological signals more precisely in vivo. The reported strategy will open up the accessible preparation of the fine-size stretchable microelectrode. It will significantly improve the resolution of monitoring and stimulation of inorganic stretchable electrodes.     

Solid Solvation Assisted Electrical Doping Conserves High-Performance in 500 nm Active Layer Organic Solar Cells

Organic solar cells (OSCs) process fascinating solution-printing capability to achieve low-cost and large-scale manufacture. However, the rapid power conversion efficiency (PCE) decay with active layer thickness enlargement inhibits the implement of OSCs’ potential advantages. To overcome the bottlenecks of PCE decay in thick active layer OSCs, the electrical doping with componential selectivity in bulk heterojunction (BHJ) film is achieved by introducing a solid solvation additive. Benefiting from the higher exciton splitting efficiency together with the longer drift (L_dr) and diffusion (L_diff) lengths, an OSC with 100 nm BHJ film demonstrates a PCE increment from 16.44% to 18.24% with prolonged dark and illuminated storage stabilities. Applying the solid solvation assisted (SSA) doping method in the OSCs with 500 nm active layer, the PCE significantly increases by 31.9%, from the original value of 11.79% to 15.55%. It further improves to 15.84% in a ternary blend thick-film device, which is the record value to the best of our knowledge. Besides, the SSA doping narrows the PCE gap between the 0.04 and 1 cm² devices. All improvements demonstrate the great potential of SSA doping for OSC commercial manufacture, since it optimizes the photovoltaic performance under all practical conditions of long-term, thick-film, and large-area.     

真空光镊系统及其在精密测量中的研究进展

光镊具有非接触、低损伤和适用范围广等特性,被广泛应用于生命科学、纳米科技等领域。光镊系统通过调制束缚光场操控机械振子的运动,借助光动量和角动量的检测获取振子的运动状态,以实现对振子物理参量的精密测量。与传统液体光镊系统不同,真空光镊系统中的机械振子可获得与外界环境近乎完全隔离的状态,具有超高灵敏度的探测能力,是精密测量和基础物理研究的理想平台。首先介绍了真空光镊系统相关的基础理论,然后介绍了真空光镊系统的实验配置方案及其在精密测量中的典型应用,最后总结了真空光镊系统的发展现状,并给出了未来的发展建议。     

基于精确时钟协议的多时钟源时钟同步实现

精确时钟协议(precision time protocol,PTP)由网络测量和控制系统的精确时钟同步协议标准(IEEE 1588)定义,借助网络通信和本地计算等技术实现分布式系统中的高精度时钟同步.虽然PTP系统可以通过纯软件的方式在局域网络内实现亚微秒级的时钟同步,却难以满足对时钟同步性能有更高要求的通信传输网络...     

一种改进的激光点云滤波算法

针对常规的点云滤波方法在去除接近模型噪声的过程中会对模型造成较大破坏的问题,提出一种结合双张量投票和多尺度法向量估计的点云滤波算法.首先采用主成分分析法在较大的尺度下估计各点的法向量,对各点进行双张量投票以提取特征点.然后对提取出的特征点在较小的尺度下估计法向量,并结合随机采样一致性方法对小范围噪声平面进行剔除.最后采...     

基于Prophet人工智能算法的网络潮汐效应预测研究

本文使用Prophet人工智能算法研究与预测移动通信网络"潮汐效应"现象,探索网络"潮汐效应"在优化网络资源配置实现网络降本增效的作用.Prophet人工智能算法是一种简单有效且易于实现的人工智能算法.本文通过Facebook的人工智能开源框架fbprophet,研究4G网络PRB利用率等网络资源指标的"潮汐效应",并...     

5G邻区配置自动化系统实现

5G系统中,邻区的合理性、准确性和及时性等将直接影响整个5G网络的性能,也是5G网络优化的基础工作.传统的人工邻区指令的制作与下发耗时耗力,为提升5G邻区添加效率,开展了本项研究.本文依托基站集中入网流程,开发了一套精准的邻区指令自动化系统,在5G新建设站点开通入网后,自动化采集规划和资管数据对接网管服务器,完成邻区指...     

洛克希德·马丁公司网络军工产业研究

洛克希德·马丁公司(以下简称"洛马")是美国一家拥有百年历史的国防承包商,在百年发展历程中,洛马以美国国家安全需求为牵引,逐渐成长为世界最大军工集团.伴随网络时代的来临和新安全威胁的涌现,洛马加大网络空间作战技术的研发力度和资金投入,为美国加强网络国防能力建设铸剑护航.研究以洛马网络军工产业发展为脉络,对其网络安全全谱...     

One‐Step Hydrothermal Synthesis of 2D Hexagonal Nanoplates of α‐Fe2O3/Graphene Composites with Enhanced Photocatalytic Activity

There has been significant progress in the field of semiconductor photocatalysis, but it is still a challenge to fabricate low‐cost and high‐activity photocatalysts because of safety issues and non‐secondary pollution to the environment. Here, 2D hexagonal nanoplates of α‐Fe₂O₃/graphene composites with relatively good distribution are synthesized for the first time using a simple, one‐step, template‐free, hydrothermal method that achieves the effective reduction of the graphene oxide (GO) to graphene and intimate and large contact interfaces of the α‐Fe₂O₃ nanoplates with graphene. The α‐Fe₂O₃/graphene composites showed significantly enhancement in the photocatalytic activity compared with the pure α‐Fe₂O₃ nanoplates. At an optimal ratio of 5 wt% graphene, 98% of Rhodamine (RhB) is decomposed with 20 min of irradiation, and the rate constant of the composites is almost four times higher than that of pure α‐Fe₂O₃ nanoplates. The decisive factors in improving the photocatalytic performance are the intimate and large contact interfaces between 2D hexagonal α‐Fe₂O₃ nanoplates and graphene, in addition to the high electron withdrawing/storing ability and the highconductivity of reduced graphene oxide (RGO) formed during the hydrothermal reaction. The effective charge transfer from α‐Fe₂O₃ nanoplates to graphene sheets is demonstrated by the significant weakening of photoluminescence in α‐Fe₂O₃/graphene composites.