Suppressing Strong Exciton–Phonon Coupling in Blue Perovskite Nanoplatelet Solids by Binary Systems

Quasi-two-dimensional (2D) perovskites are promising candidates for light generation owing to their high radiative rates. However, strong exciton–phonon interactions caused by mechanical softening of the surface act as a bottleneck in improving their suitability for a wide range of lighting and display applications. Moreover, it is not easily available to tune the phonon interactions in bulk films. Here, we adopt bottom-up fabricated blue emissive perovskite nanoplatelets (NPLs) as model systems to elucidate and as well as tune the phonon interactions via engineering of binary NPL solids. By optimizing component domains, the phonon coupling strength can be reduced by a factor of 2 driven by the delocalization of 2D excitons in out-of-plane orientations. It shows the picosecond energy transfer originated from the Förster resonance energy transfer (FRET) efficiently competes with the exciton–phonon interactions in the binary system.     

Designing Cascades of Electron Transfer Processes in Multicomponent Graphene Conjugates

A novel family of nanocarbon-based materials was designed, synthesized, and probed within the context of charge-transfer cascades. We integrated electron-donating ferrocenes with light-harvesting/electron-donating (metallo)porphyrins and electron-accepting graphene nanoplates (GNP) into multicomponent conjugates. To control the rate of charge flow between the individual building blocks, we bridged them via oligo-p-phenyleneethynylenes of variable lengths by β-linkages and the Prato–Maggini reaction. With steady-state absorption, fluorescence, Raman, and XPS measurements we realized the basic physico-chemical characterization of the photo- and redox-active components and the multicomponent conjugates. Going beyond this, we performed transient absorption measurements and corroborated by single wavelength and target analyses that the selective (metallo)porphyrin photoexcitation triggers a cascade of charge transfer events, that is, charge separation, charge shift, and charge recombination, to enable the directed charge flow. The net result is a few nanosecond-lived charge-separated state featuring a GNP-delocalized electron and a one-electron oxidized ferrocenium.     

自同步多开关纳秒脉冲发生器

介绍了一种基于传输线变压器（TLT）的多开关脉冲功率技术。该技术可以像Marx发生器一样实现多个开关的自动同步,而且在输出上更具灵活性:不仅可以通过电压叠加获得高电压输出,而且可以通过电流叠加实现大电流输出,或者用于同时驱动多个独立的负载。基于该技术已成功开发了10火花开关的短脉冲系统。理论设计了带有20开关和20级TLT的脉冲发生器,单脉冲能量140 J,预计峰值功率可达5 GW,可实现多种不同输出方式以满足不同应用需求。     

(La1-xREx)2/3Sr1/3MnO3(RE=Y,Sm,Eu,Tb;x=0.1～0.5)的晶体结构及磁性质研究

采用空气中固相反应烧结法制备了一系列钙钛矿结构的(La1-xREx)2/3Sr1/3MnO3(RE=Y,Sm,Eu,Tb;x=0.1～0.5)稀土锰氧化物多晶样品.X射线衍射(XRD)分析表明掺杂RE部分替代La以后,样品的晶体结构为正交结构,空间群为Pbmm.在室温(300K)和液氮温度(77K)下分别测试了样品的磁性质,发现磁性质的改变与RE的掺入量以及RE的离子半径有关.在掺Tb的样品中明显存在巨磁电阻效应,磁场为2 T,温度为300和77 K分别测得(La0.6Tb0.4)2/3Sr1/3MnO3和(La0.7Tb0.3)2/3Sr1/3MnO3的磁电阻(MR)为80%和85%.随着Tb掺杂量的增加,在不同的磁场下,样品电阻-温度关系曲线的峰均向高温方向移动.     

Improving fatigue strength of bainite/martensite dual-phase steels in very high cycle fatigue regime by refining microstructures

Very high cycle fatigue behaviors of two bainite/martensite dual-phase steels were investigated. One of the steels was cyclic rapid heat treated and its microstructures were refined. Fatigue strength of the steel is 225 MPa higher than that without refining. Observation of fracture surfaces show that the fatigue cracks initiate at bainites for non-refined steel and at non-metallic inclusions for the refined steel. The size of inclusions is much smaller than that of bainites which results in the improvement of fatigue strength.     

Li–Yorke chaos for invertible mappings on compact metric spaces

In this paper, we construct a homeomorphism on the closed unit disk to show that the inverse of a Li–Yorke chaotic mapping on a compact metric space need not be Li–Yorke chaotic.     

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation

Multi-focus-image-fusion is a crucial embranchment of image processing. Many methods have been developed from different perspectives to solve this problem. Among them, the sparse representation (SR)-based and convolutional neural network (CNN)-based fusion methods have been widely used. Fusing the source image patches, the SR-based model is essentially a local method with a nonlinear fusion rule. On the other hand, the direct mapping between the source images follows the decision map which is learned via CNN. The fusion is a global one with a linear fusion rule. Combining the advantages of the above two methods, a novel fusion method that applies CNN to assist SR is proposed for the purpose of gaining a fused image with more precise and abundant information. In the proposed method, source image patches were fused based on SR and the new weight obtained by CNN. Experimental results demonstrate that the proposed method clearly outperforms existing state-of-the-art methods in addition to SR and CNN in terms of both visual perception and objective evaluation metrics, and the computational complexity is greatly reduced. Experimental results demonstrate that the proposed method not only clearly outperforms the SR and CNN methods in terms of visual perception and objective evaluation indicators, but is also significantly better than other state-of-the-art methods since our computational complexity is greatly reduced.     

渗碳淬硬层疲劳裂纹闭合模型

本文在Newman裂纹闭合模型的基础上,以裂纹面附加残留位移为主要线索,综合考虑了渗层组织、强度、初始残留应力分布及残余奥氏体转变对裂纹闭合行为的影响,提出了一个渗碳硬层疲劳裂纹闭合计算模型。文中利用该模型对疲劳裂纹扩张过程中卸载后裂纹面接触应力的分布、渗层裂纹闭合效应进行了成功地计算;借助于实测的渗碳层da/dn—ΔK_(eff)关系,较好地预测了渗层裂纹扩张速率的变化规律;并在定量分析残余奥氏体转变、初始残留应力分布对闭合行为的影响方面进行了有益的尝试。     

渗碳层断裂韧性评定新方法

本文依据裂纹沿渗碳层扩张时所特有的ＰＯＰ－ｉｎ现象提出了一种评定渗碳层断裂韧性的新方法。研究表明：ＰＯＰ－ｉｎ现象是渗碳层断裂韧性正梯度分布造成的；根据ＰＯＰ－ｉｎ点处的载荷及相应的裂纹长度计算出的渗碳层ＫＩＣ－ｘ分布曲线是评定其断裂韧性的基础，而对渗碳层断裂韧性的客观评定需综合考虑断裂韧性沿渗层的分布及梯度分布