Operational Analysis of a Quantum Dot Optically Gated Field-Effect Transistor as a Single-Photon Detector

We report on the operation of a novel single-photon detector, where a layer of self-assembled quantum dots (QDs) is used as an optically addressable floating gate in a GaAs/Al_0.2Ga_0.8As delta-doped field-effect transistor. Photogenerated holes charge the QDs, and subsequently, change the amount of current flowing through the channel by screening the internal gate field. The photoconductive gain associated with this process makes the structure extremely sensitive to light of the appropriate wavelength. We investigate the charge storage and resulting persistent photoconductivity by performing time-resolved measurements of the channel current and of the photoluminescence emitted from the QDs under laser illumination. In addition, we characterize the response of the detector, and investigate sources of photogenerated signals by using the Poisson statistics of laser light. The device exhibits time-gated, single-shot, single-photon sensitivity at a temperature of 4 K. It also exhibits a linear response, and detects photons absorbed in its dedicated absorption layer with an internal quantum efficiency (IQE) of up to (68 plusmn18)%. Given the noise of the detection system, the device is shown to operate with an IQE of (53 plusmn 11)% and dark counts of 0.003 counts per shot for a particular discriminator level.     

Evaluation of grounding performance of energized substation by ground current measurement

Substation grounding systems typically build up a large network of various grounding electrodes, which consists of a substation grounding grid, multi-grounded transmission line skywires and distribution line neutral wires. Although the fall-of-potential (FOP) method has been widely used for ground resistance measurement, it is difficult to use the method in case of such a substation grounding system because of the difficulty of interpretation of the measured FOP profile. In this paper, we have presented a practical example of ground resistance measurement in a 154 kV substation under commercial operating condition. Conventional FOP tests and the measurement of ground current splits to each part of the grounding system were conducted simultaneously. A simple interpretation method of FOP profiles, with the measured ground current splits, has been suggested.     

Toward negligible charge loss in charge injection memories based on vertically integrated 2D heterostructures

Two-dimensional (2D) crystals have a multitude of forms,including semi-metals,semiconductors,and insulators,which are ideal for assembling isolated 2D atomic materials to create van der Waals (vdW) heterostructures.Recently,artificially-stacked materials have been considered promising candidates for nanoelectronic and optoelectronic applications.In this study,we report the vertical integration of layered structures for the fabrication of prototype non-volatile memory devices.A semiconducting-tungsten-disulfide-channel-based memory device is created by sandwiching high-density-of-states multi-layered graphene as a carrier-confining layer between tunnel barriers of hexagonal boron nitride (hBN) and silicon dioxide.The results reveal that a memory window of up to 20 V is opened,leading to a high current ratio (＞103) between programming and erasing states.The proposed design combination produced layered materials that allow devices to attain perfect retention at 13％ charge loss after 10 years,offering new possibilities for the integration of transparent,flexible electronic systems.     

拟态防御基础理论研究综述

随着互联网的发展,网络空间安全问题已成为关系到国家安全的大问题。本文首先介绍了一些经典的网络安全防御技术;其次介绍了拟态防御技术,包括拟态防御系统的构成、拟态防御的科学问题及其理论框架,对比传统网络防御技术,分析了拟态防御系统的有效性;最后对拟态防御基础理论还需要解决的问题做了阐述。     

A Nonconventional Approach to Patterned Nanoarrays of DNA Strands for Template‐Assisted Assembly of Polyfluorene Nanowires

DNA molecules have been widely recognized as promising building blocks for constructing functional nanostructures with two main features, that is, self‐assembly and rich chemical functionality. The intrinsic feature size of DNA makes it attractive for creating versatile nanostructures. Moreover, the ease of access to tune the surface of DNA by chemical functionalization offers numerous opportunities for many applications. Herein, a simple yet robust strategy is developed to yield the self‐assembly of DNA by exploiting controlled evaporative assembly of DNA solution in a unique confined geometry. Intriguingly, depending on the concentration of DNA solution, highly aligned nanostructured fibrillar‐like arrays and well‐positioned concentric ring‐like superstructures composed of DNAs are formed. Subsequently, the ring‐like negatively charged DNA superstructures are employed as template to produce conductive organic nanowires on a silicon substrate by complexing with a positively charged conjugated polyelectrolyte poly[9,9‐bis(6′‐N,N,N‐trimethylammoniumhexyl)fluorene dibromide] (PF2) through the strong electrostatic interaction. Finally, a monolithic integration of aligned arrays of DNA‐templated PF2 nanowires to yield two DNA/PF2‐based devices is demonstrated. It is envisioned that this strategy can be readily extended to pattern other biomolecules and may render a broad range of potential applications from the nucleotide sequence and hybridization as recognition events to transducing elements in chemical sensors.     

Hydrothermally Oxidized Single‐Walled Carbon Nanotube Networks for High Volumetric Electrochemical Energy Storage

Improving volumetric energy density is one of the major challenges in nanostructured carbon electrodes for electrochemical energy storage device applications. Herein, a simple hydrothermal oxidation process of single‐walled carbon nanotube (SWNT) networks in dilute nitric acid is reported, enabling simultaneous physical densification and chemical functionalization of the as‐assembled randomly‐packed SWNT films. After the hydrothermal oxidation process, the density of the SWNT films increases from 0.63 to 1.02 g cm^?3 and a considerable amount of redox‐active oxygen functional groups are introduced on the surface of the SWNTs. The functionalized SWNT films are used as positive electrodes against Li metal negative electrodes for potential Li‐ion capacitors or Li‐ion battery applications. The functionalized SWNT electrodes deliver high volumetric as well as gravimetric capacities, 154 Ah L^?1 and 152 mAh g^?1, respectively, owing to the surface redox reactions between the introduced oxygen functional groups and Li ions. In addition, these electrodes exhibit a remarkable rate‐capability by retaining its high capacity of 94 Ah L^?1 (92 mAh g^?1) at a high discharge rate of 10 A g^?1. These results demonstrate the simple hydrothermal oxidation process as an attractive strategy for improving the volumetric performance of nanostructured carbon electrodes.     

一种酰胺类成核剂对聚乳酸结晶行为的影响

通过自主设计合成一种含酰胺结构的新型成核剂——1,6-二苯基己烷基脲(NA6),并利用差示扫描量热仪(DSC)和偏光显微镜(POM)研究了NA6成核剂(1~8wt%)对聚乳酸(PLLA)结晶行为的影响。结果表明,随着NA6成核剂含量的增加,PLLA的结晶温度由93.8℃提高到118.6℃,结晶度由12.0%提高到65.5%;130℃时的等温结晶速率提高到0.56min-1,是纯PLLA的14.5倍。此外,NA6成核剂可显著减小PLLA的球晶尺寸,且随着成核剂含量的提高成核效果愈加明显。     

Accelerated Bregman Method for Linearly Constrained \ell _1–\ell _2 Minimization

In this paper, we consider the linearly constrained $\ell _1$ – $\ell _2$ minimization, and we propose an accelerated Bregman method for solving this minimization problem. The proposed method is based on the extrapolation technique, which is used in accelerated proximal gradient methods proposed by Nesterov and others, and on the equivalence between the Bregman method and the augmented Lagrangian method. A convergence rate of $\mathcal{O }(\frac{1}{k^2})$ is proved for the proposed method when it is applied to solve a more general linearly constrained nonsmooth convex minimization problem. We numerically test our proposed method on a synthetic problem from compressive sensing. The numerical results confirm that our accelerated Bregman method is faster than the original Bregman method.     

Robust Visual Tracking via Structured Multi-Task Sparse Learning

In this paper, we formulate object tracking in a particle filter framework as a structured multi-task sparse learning problem, which we denote as Structured Multi-Task Tracking (S-MTT). Since we model particles as linear combinations of dictionary templates that are updated dynamically, learning the representation of each particle is considered a single task in Multi-Task Tracking (MTT). By employing popular sparsity-inducing $\ell _{p,q}$ mixed norms $(\text{ specifically} p\in \{2,\infty \}$ and $q=1),$ we regularize the representation problem to enforce joint sparsity and learn the particle representations together. As compared to previous methods that handle particles independently, our results demonstrate that mining the interdependencies between particles improves tracking performance and overall computational complexity. Interestingly, we show that the popular $L_1$ tracker (Mei and Ling, IEEE Trans Pattern Anal Mach Intel 33(11):2259–2272, 2011) is a special case of our MTT formulation (denoted as the $L_{11}$ tracker) when $p=q=1.$ Under the MTT framework, some of the tasks (particle representations) are often more closely related and more likely to share common relevant covariates than other tasks. Therefore, we extend the MTT framework to take into account pairwise structural correlations between particles (e.g. spatial smoothness of representation) and denote the novel framework as S-MTT. The problem of learning the regularized sparse representation in MTT and S-MTT can be solved efficiently using an Accelerated Proximal Gradient (APG) method that yields a sequence of closed form updates. As such, S-MTT and MTT are computationally attractive. We test our proposed approach on challenging sequences involving heavy occlusion, drastic illumination changes, and large pose variations. Experimental results show that S-MTT is much better than MTT, and both methods consistently outperform state-of-the-art trackers.