The effect of AlN growth time on the electrical properties of Al0.38Ga0.62N/AlN/GaN HEMT structures

Al0.38Ga0.62N/AIN/GaN HEMT structures have been grown by metal-organic chemical vapor deposition (MOCVD) on 2-inch sapphire substrates. Samples with AIN growth time of 0s (without AIN interlayer), 12, 15, 18 and 24s are characterized and compared. The electrical properties of two-dimensional electron gas (2DEG) are improved by introducing AIN interlayers. The AIN growth time in the range of 12-18s, corresponding to the AIN thickness of 1-1.5 nm, is appropriate for the design of Al0.38Ga0.62N/AIN/GaN HEMT structures. The lowest sheet resistance of 277 Omega sq(-1) and highest room temperature 2DEG mobility of 1460 cm(2)V(-1) s(-1) are obtained on structure with AIN growth time of 12s. The structure with AIN growth time of 15s exhibits the highest 2DEG concentration of 1.59 x 10(13) cm(-2) and the smallest RMS surface roughness of 0.2 nm. (c) 2006 Elsevier B.V. All rights reserved.

Ground target detection, classification and sensor fusion in distributed fiber seismic sensor network - art. no. 683015

This paper describes the ground target detection, classification and sensor fusion problems in distributed fiber seismic sensor network. Compared with conventional piezoelectric seismic sensor used in UGS, fiber optic sensor has advantages of high sensitivity and resistance to electromagnetic disturbance. We have developed a fiber seismic sensor network for target detection and classification. However, ground target recognition based on seismic sensor is a very challenging problem because of the non-stationary characteristic of seismic signal and complicated real life application environment. To solve these difficulties, we study robust feature extraction and classification algorithms adapted to fiber sensor network. An united multi-feature (UMF) method is used. An adaptive threshold detection algorithm is proposed to minimize the false alarm rate. Three kinds of targets comprise personnel, wheeled vehicle and tracked vehicle are concerned in the system. The classification simulation result shows that the SVM classifier outperforms the GMM and BPNN. The sensor fusion method based on D-S evidence theory is discussed to fully utilize information of fiber sensor array and improve overall performance of the system. A field experiment is organized to test the performance of fiber sensor network and gather real signal of targets for classification testing.

Influence of Al content on electrical and structural properties of Si-doped AlxGa1-xN/GaN HEMT structures

Improved electrical properties of AlxGa1-xN/GaN high electron mobility transistor (HEMT) structures grown by metalorganic chemical vapor deposition (MOCVD) were achieved through increasing the Al mole fraction in the AlGaN barrier layers. An average sheet resistance of 326.6 Omega/sq and a good resistance uniformity of 98% were obtained for a 2-inch Al0.38Ga0 62N/GaN HEMT structure. The surface morphology of AlxGa1-xN/GaN HEMT structures strongly correlates with the Al content. More defects were formed with increasing Al content due to the increase of tensile strain, which limits further reduction of the sheet resistance. (c) 2006 WILEY-VCH Verlag GmbH & Co KGaA, Weinheim.

RESEARCH ON ELECTRICAL-PROPERTIES OF AMPHIPHILIC LIPID-MEMBRANES BY MEANS OF INTERDIGITAL ELECTRODES

Lipids are the main component of all cell membranes and also important mimetic materials. Moreover, it was found recently that they can be used as sensitive membranes for olfactory and taste sensors. Hence the understanding of lipid resistance is important both in sensors and in life sciences. Thirteen lipids were examined by means of interdigital electrodes with narrow gaps of 20-50 mu m, made by IC technology. The membrane lateral resistance in air, resisting electrical voltage, the influence of impurities on resistance and the resistance change in acetic acid vapour are presented for the first time. It is shown that the electrical resistivity for self-assembling lipids depends on their duration of being in an electric field and the content of the conductive impurities. The interdigital electrode is a transducer as well as a powerful tool for researching biomaterials and mimicking materials. The conducting mechanism of lipids is discussed. This method is also suitable for some polymer membranes.

Electrical conductivity of a single Au/polyaniline microfiber

We report the measurements of conductivity, I-V curve, and magnetoresistance of a single Au/polyaniline microfiber with a core-shell structure, on which a pair of platinum microleads was attached by focused ion beam. The Au/polyaniline microfiber shows a much higher conductivity (similar to 110 S/cm at 300 K) and a much weaker temperature dependence of resistance [R(4 K)/R(300 K)=5.1] as compared with those of a single polyaniline microtube [sigma(RT)=30-40 S/cm and R(4 K)/R(300 K)=16.2]. The power-law dependence of R(T)proportional to T-beta, with beta=0.38, indicates that the measured Au/polyaniline microfiber is lying in the critical regime of the metal-insulator transition. In addition, the microfiber shows a H-2 dependent positive magnetoresistance at 2, 4, and 6 K.

THE OPTICAL AND ELECTRICAL-PROPERTIES OF DYSPROSIUM AND YTTERBIUM MONOPHOSPHIDES

Dysprosium and ytterbium monophosphides have been prepared by the solid state reaction. The optical and electrical properties have been studied. Evidence that DyP and YbP are semiconductors has been obtained from the study of the absorption spectrum, the negative temperature coefficient of resistance and the rectifying effect. Their energy gaps are determined as 1.15 eV for DyP and 1.30 eV for YbP, electric conduction type is n-type, resistivities are about 10(-2) ohm cm and Hall mobility is 8.5-80 cm2/Vs. The p-n junction is formed on the LnP/Si.