Ultrafast laser ablation of indium tin oxide thin films for organic light-emitting diode application

Ultrafast laser ablation of ITO thin film coated on the glass has been investigated as a function of laser fluence as well as the number of laser pulses. The ablation threshold of ITO thin film was found to be 0.07 J/cm² that is much lower than that of glass substrate (about 1.2–1.6 J/cm²), which leads to a selective ablation of ITO film without damage on glass substrate. The changes in the electrical resistance and morphology of ablated trench of ITO electrode were found to be strongly dependent on the processing conditions. We present the performance of organic light-emitting diodes (OLED) fabricated with ITO electrode patterned by ultrafast laser ablation.     

低阈值单横模852nm半导体激光器

基于波导理论、等效折射率方法,设计并制备了非对称波导隔离双沟结构脊型边发射激光器,最终获得了低闽值单基侧模852 nm激光器.详细研究了不同脊型台深宽比参数设计对激光器侧向模式特性的影响规律,实现了腔面未镀膜情况下脊型波导边发射激光器的单基侧模稳定输出,同时激射波长可以精确调谐到852 nm;工作电流达到150 mA,工作温度30℃;斜率效率最高可达0.89 nW/mA,光谱半宽小于1 nm.研究结果为进一步实现超窄线宽激光器提供了参考和借鉴,并且为实现激光器稳定输出提供了实验基础.     

灰气体加权和辐射模型综合评估及分析

在O_2/CO_2气氛下,参与性介质的非灰气体辐射特性表现出不同于空气气氛下的特性,因此,非灰气体辐射模型的选择和应用在换热过程中将变得十分重要.基于统计窄谱带模型,本文综合评估近年发展应用较广的灰气体加权和(WSGG)模型.结果表明,几种WSGG模型的预测值总体趋势正确,但仍存在着一定的差别.对于发射率,Dorigon等(2013 Int.J.Heat Mass Transfer 64 863)和Bordbar等(2014 Combust.Flame 161 2435)的WSGG模型与基准模型符合较好,相对误差小于20%.与离散坐标法结合,本文求解了PH_2O/PCO_2=1,2时的一维平行平板间辐射换热问题.结果显示,由Dorigon等和Bordbar等的WSGG模型得到的辐射热源和热流密度分布的相对误差均较小(10%左右).Johansson等(2011 Combust.Flame 158893)和Bordbar等的WSGG模型具有更广的适用范围.     

Tens of GHz Tantalum pentoxide‐based micro‐ring all‐optical modulator for Si photonics

A tantalum pentoxide‐based (Ta₂O₅‐based) micro‐ring all‐optical modulator was fabricated. The refractive index inside the micro‐ring cavity was modified using the Kerr effect by injecting a pumped pulse. The transmittance of the ring resonator was controlled to achieve all‐optical modulation at the wavelength of the injected probe. When 12 GHz pulses with a peak power of 1.2 W were coupled in the ring cavity, the transmission spectrum of the Ta₂O₅ resonator was red‐shifted by 0.04 nm because of the Kerr effect. The relationship between the modulation depth and gap of the Ta₂O₅ directional coupler is discussed. An optimized gap of 1100 nm was obtained, and a maximum buildup factor of 11.7 with 84% modulation depth was achieved. The nonlinear refractive index of Ta₂O₅ at 1.55 μm was estimated as 3.4 × 10^?14 cm²/W based on the Kerr effect, which is almost an order of magnitude higher than that of Si₃N₄. All results indicate that Ta₂O₅ has potential for use in nonlinear waveguide applications with modulation speeds as high as tens of GHz.

     

The semiclassical limit of a quantum Fermi accelerator

A classical Fermi accelerator model (FAM) is known to show chaotic behavior. The FAM is defined by a free particle bouncing elastically from two rigid walls, one fixed and the other oscillating periodically in time. The central aim of this paper is to connect the quantum and the classical solutions to the FAM in the semiclassical limit. This goal is accomplished using a finite inverted parametric oscillator (FIPO), confined to a box withfixed walls, as an alternative representation of the FAM. In the FIPO representation, an explicit correspondence between classical and quantum limits is accomplished using a Husimi representation of the quasienergy eigenfunctions.     

Measuring causality by taking the directional symbolic mutual information approach

We propose a novel measure to assess causality through the comparison of symbolic mutual information between the future of one random quantity and the past of the other.This provides a new perspective that is different from the conventional conceptions.Based on this point of view,a new causality index is derived that uses the definition of directional symbolic mutual information.This measure presents properties that are different from the time delayed mutual information since the symbolization captures the dynamic features of the analyzed time series.In addition to characterizing the direction and the amplitude of the information flow,it can also detect coupling delays.This method has the property of robustness,conceptual simplicity,and fast computational speed.     

高光谱成像的油菜和杂草分类方法

利用高光谱成像技术结合化学计量学方法对油菜中的杂草进行分类识别。采用近红外高光谱技术,通过正态变量变换(SNV)、去趋势化(De-trending)、多元散射校正(MSC)、移动平均平滑法(MA)、多项式卷积平滑法(SG)、基线校正(baseline)及归一化(normalize)算法对光谱数据进行预处理,采用主成分载荷(PCA loadings)、载荷系数法(x-LW)、回归系数法(RC)、连续投影算法(SPA)分别进行特征波长提取,采用偏最小二乘判别分析(PLS-DA)、极限学习机(ELM)和支持向量机(SVM)建立分类模型。结果表明,基于De-trending 预处理,通过PCA loadings,x-loading weights及SPA特征波长提取方法,基于极限学习机ELM算法建立的模型取得了最优的分类效果,建模集和预测集的分类精度均达到100%,另引入平均分类精度的指标,发现不同试验时间下,模型分类精度变化不大,表明应用近红外高光谱成像技术对油菜和杂草进行分类是可行的。