Caractérisation et résultats de fiabilité de transistors à haute mobilité électronique (HEMT)

The telecommunication systems require introduction of high performance devices especially for microwave applications. The emergence of molecular beam epitaxy as a growth technique allows the fabrication of heterostructure-based performing devices. Thus, this communication will focus on the reliability of technologies used for the development of field effect transistor using heterostructures and called HEMT (high electron mobility transistor).     

GSM phase 2+ general packet radio service GPRS: Architecture, protocols, and air interface

Selective packet dropping policies have been used to reduce congestion and transmission of traffic that would inevitably be retransmitted. For data applications using best-effort services, packet dropping policies (PDPs) are congestion management mechanisms implemented at each intermediate node that decide, reactively or proactively, to drop packets to reduce congestion and free up precious buffer space. While the primary goal of PDPs is to avoid or combat congestion, the individual PDP designs can significantly affect application throughput, network utilization, performance fairness, and synchronization problems with multiple Transmission Control Protocol (TCP) connections. Scalability and simplicity are also important design issues. This article surveys the most important selective packet dropping policies that have been designed for best-effort traffic in ATM and IP networks, providing a comprehensive comparison between the different mechanisms.     

100%无焊接IGBT模块——专为汽车工业而设计

减少二氧化碳的排放和可持续性发展——这些是我们这个时代的流行语。为了不辜负这些今天和明天的流行语,需要先进的电控驱动技术涉足新的领域。其中一个最大且最具挑战性的领域是汽车产业.现有的功率模块无法满足该行业的严格要求,这就是为什么它们不能服务市场的原因。为了面对这项挑战,赛米控开发了SKiM（赛米控集成模块）,适用于汽车工业的IGBT模块。[编者按]     

A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing

A large effort is devoted to the research of new computing paradigms associated with innovative nanotechnologies that should complement and/or propose alternative solutions to the classical Von Neumann/CMOS (complementary metal oxide semiconductor) association. Among various propositions, spiking neural network (SNN) seems a valid candidate. i) In terms of functions, SNN using relative spike timing for information coding are deemed to be the most effective at taking inspiration from the brain to allow fast and efficient processing of information for complex tasks in recognition or classification. ii) In terms of technology, SNN may be able to benefit the most from nanodevices because SNN architectures are intrinsically tolerant to defective devices and performance variability. Here, spike‐timing‐dependent plasticity (STDP), a basic and primordial learning function in the brain, is demonstrated with a new class of synapstor (synapse‐transistor), called nanoparticle organic memory field‐effect transistor (NOMFET). This learning function is obtained with a simple hybrid material made of the self‐assembly of gold nanoparticles and organic semiconductor thin films. Beyond mimicking biological synapses, it is also demonstrated how the shape of the applied spikes can tailor the STDP learning function. Moreover, the experiments and modeling show that this synapstor is a memristive device. Finally, these synapstors are successfully coupled with a CMOS platform emulating the pre‐ and postsynaptic neurons, and a behavioral macromodel is developed on usual device simulator.     

运用数字暗场和结构重构方法测定FePt纳米粒子的正二十面体结构

小粒子结构一直是人们关注的研究热点,上世纪70年代运用暗场像技术发现了具有多重孪晶结构的正二十面体和正十面体结构.近年来,人们已经能够合成直径只有几纳米、结构复杂的纳米粒子,传统的高分辨像和衍射等方法难以获得这些纳米粒子的结构.本文以直径约6nm的FePt粒子为研究对象,通过系列欠焦像波函数重构获得了该粒子亚埃分辨率高分辨相位像,并对该相位像进行了数字暗场像分析研究,通过结构重构并结合高分辨像模拟测定该粒子具有二十面体结构,为确定具有复杂结构的纳米粒子结构提供了一种新途径.     

Synthesis optimization and characterization of multiwalled carbon nanotubes

The unique properties of carbon nanotubes (CNTs) have suggested applications in a variety of fields. Multiwalled nanotubes were synthesized using chemical vapor deposition (CVD) procedures and subsequently characterized. Reaction parameters such as catalyst type and carrier gas flow rate were optimized to produce well-aligned multiwalled nanotubes with lengths between a few microns to several millimeters. Characterization was performed with scanning electron microscopy (SEM), transmission electron microscopy (TEM), x-ray diffraction (XRD), energy dispersive x-ray spectroscopy (EDS), thermo-gravimetric analysis, and Raman spectroscopy, focusing on composition and purity. Results show the synthesis of high-purity nanotubes of several millimeters in length from iron, nickel, cobalt, and titanium carbide catalysts with thermal stability to above 550°C.     

Graphene Oxide‐Cyclic R10 Peptide Nuclear Translocation Nanoplatforms for the Surmounting of Multiple‐Drug Resistance

Multidrug resistance resulting from a variety of defensive pathways in cancer has become a global concern with a considerable impact on the mortality associated with the failure of traditional chemotherapy. Therefore, further research and new therapies are required to overcome this challenge. In this work, a cyclic R10 peptide (cR₁₀) is conjugated to polyglycerol‐covered nanographene oxide to engineer a nanoplatform for the surmounting of multidrug resistance. The nuclear translocation of the nanoplatform, facilitated by cR₁₀ peptide, and subsequently, a laser‐triggered release of the loaded doxorubicin result in efficient anticancer activity confirmed by both in vitro and in vivo experiments. The synthesized nanoplatform with a combination of different features, including active nucleus‐targeting, high‐loading capacity, controlled release of cargo, and photothermal property, provides a new strategy for circumventing multidrug resistant cancers.     

Gas Responsive Nanoswitch: Copper Oxide Composite for Highly Selective H2S Detection

A nanocomposite material based on copper(II) oxide (CuO) and its utilization as a highly selective and stable gas‐responsive electrical switch for hydrogen sulphide (H₂S) detection is presented. The material can be applied as a sensitive layer for H₂S monitoring, e.g., in biogas gas plants. CuO nanoparticles are embedded in a rigid, nanoporous silica (SiO₂) matrix to form an electrical percolating network of low conducting CuO and, upon exposure to H₂S, highly conducting copper(II) sulphide (CuS) particles. By steric hindrance due to the silica pore walls, the structure of the network is maintained even though the reversible reaction of CuO to CuS is accompanied by significant volume expansion. The conducting state of the percolating network can be controlled by a variety of parameters, such as temperature, electrode layout, and network topology of the porous silica matrix. The latter means that this new type of sensing material has a structure‐encoded detection limit for H₂S, which offers new application opportunities. The fabrication process of the mesoporous CuO@SiO₂ composite as well as the sensor design and characteristics are described in detail. In addition, theoretical modeling of the percolation effect by Monte‐Carlo simulations yields deeper insight into the underlying percolation mechanism and the observed response characteristics.