• Title/Summary/Keyword: gated p-i-n diode

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Optical Transient Characteristics of Au-Compensated Silicon p-i-n Diode Switches (금이 보상된 실리콘 p-i-n 다이오드 스위치의 광 과도 특성)

  • Min, Nam-Ki;Henderson, H.T.
    • Proceedings of the KIEE Conference
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    • 1995.07c
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    • pp.1205-1208
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    • 1995
  • The optically-gated p-i-n diode switches have been fabricated with gold-compensated silicon. The turn-on and turn-off delay times and the rise and fall times were measured as a function of optical power level, bias, and pulse width. The turn-on characteristics shows a strong dependence an optical pulse power and a delay time(${\delta}{\iota}$) between two pulses, but a weak dependence on the width of optical pulse. Actually there is no turn-off delay in gold-doped p-i-n switches and the fall time is negligible.

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Triple Material Surrounding Gate (TMSG) Nanoscale Tunnel FET-Analytical Modeling and Simulation

  • Vanitha, P.;Balamurugan, N.B.;Priya, G. Lakshmi
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.15 no.6
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    • pp.585-593
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    • 2015
  • In the nanoscale regime, many multigate devices are explored to reduce their size further and to enhance their performance. In this paper, design of a novel device called, Triple Material Surrounding Gate Tunnel Field effect transistor (TMSGTFET) has been developed and proposed. The advantages of surrounding gate and tunnel FET are combined to form a new structure. The gate material surrounding the device is replaced by three gate materials of different work functions in order to curb the short channel effects. A 2-D analytical modeling of the surface potential, lateral electric field, vertical electric field and drain current of the device is done, and the results are discussed. A step up potential profile is obtained which screens the drain potential, thus reducing the drain control over the channel. This results in appreciable diminishing of short channel effects and hot carrier effects. The proposed model also shows improved ON current. The excellent device characteristics predicted by the model are validated using TCAD simulation, thus ensuring the accuracy of our model.