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Kushwaha, Alok,Pandey, Manoj K.,Pandey, Sujata,Gupta, Anil K. The Institute of Electronics and Information Engin 2007 Journal of semiconductor technology and science Vol.7 No.2
A new two-dimensional analytical model for dual-material double-gate fully-depleted SOI MOSFET with Pearson-IV type Doping Distribution is presented. An investigation of electrical MOSFET parameters i.e. drain current, transconductance, channel resistance and device capacitance in DM DG FD SOI MOSFET is carried out with Pearson-IV type doping distribution as it is essential to establish proper profiles to get the optimum performance of the device. These parameters are categorically derived keeping view of potential at the center (${\phi}_c$) of the double gate SOI MOSFET as it is more sensitive than the potential at the surface (${\phi}_s$). The proposed structure is such that the work function of the gate material (both sides) near the source is higher than the one near the drain. This work demonstrates the benefits of high performance proposed structure over their single material gate counterparts. The results predicted by the model are compared with those obtained by 2D device simulator ATLAS to verify the accuracy of the proposed model.
Ahlawat, Anil,Pandey, Manoj,Pandey, Sujata The Institute of Electronics and Information Engin 2006 Journal of semiconductor technology and science Vol.6 No.3
An artificial neural network model for the microwave characteristics of an InGaAs/InP hemt for 70 nm gate length has been developed. The small-signal microwave parameters have been evaluated to determine the transconductance and drain-conductance. We have further investigated the frequency characteristics of the device. The neural network training have been done using the three layer architecture using Levenberg-Marqaurdt Backpropagation algorithm. The results have been compared with the experimental data, which shows a close agreement and the validity of our proposed model.
Analysis of 1/f Noise in Fully Depleted n-channel Double Gate SOI MOSFET
Kushwaha Alok,Pandey Manoj Kumar,Pandey Sujata,Gupta A.K. The Institute of Electronics and Information Engin 2005 Journal of semiconductor technology and science Vol.5 No.3
An analysis of the 1/f or flicker noise in FD n-channel Double Gate SOI MOSFET is proposed. In this paper, the variation of power spectral density (PSD) of the equivalent noise voltage and noise current with respect to frequency, channel length and gate-to-source voltage at various temperatures and exponent $C(i.e\;1/f^c$ is reported. The temperature is varied 125 K from to room temperature. The variation of PSD with respect to channel length down to $0.1{\mu}m$ technology is considered. It is analyzed that l/f noise in FD n-channel Double Gate SOI MOSFET is due to both carrierdensity fluctuations and mobility-fluctuations. But controversy still exits to its origin.
Analysis of 1/f Noise in Fully Depleted n-channel Double Gate SOI MOSFET
Alok Kushwaha,Manoj Kumar Pandey,Sujata Pandey,A. K. Gupta 대한전자공학회 2005 Journal of semiconductor technology and science Vol.5 No.3
An analysis of the 1/f or flicker noise in FD n-channel Double Gate SOI MOSFET is proposed. In this paper, the variation of power spectral density (PSD) of the equivalent noise voltage and noise current with respect to frequency, channel length and gate-tosource voltage at various temperatures and exponent C(i.e 1/f^c) is reported. The temperature is varied 125 K from to room temperature. The variation of PSD with respect to channel length down to 0.1 μm technology is considered. It is analyzed that 1/f noise in FD n-channel Double Gate SOI MOSFET is due to both carrierdensity fluctuations and mobility-fluctuations. But controversy still exits to its origin.
Anil Ahlawat,Manoj Pandey,Sujata Pandey 대한전자공학회 2006 Journal of semiconductor technology and science Vol.6 No.3
An artificial neural network model for the microwave characteristics of an InGaAs/InP hemt for 70 ㎚ gate length has been developed. The small-signal microwave parameters have been evaluated to determine the transconductance and drain-conductance. We have further investigated the frequency characteristics of the device. The neural network training have been done using the three layer architecture using Levenberg-Marqaurdt Backpro pagation algorithm. The results have been compared with the experimental data, which shows a close agreement and the validity of our proposed model.
Noise Analysis of Sub Quarter Micrometer AlGaN/GaN Microwave Power HEMT
Tyagi, Rajesh K.,Ahlawat, Anil,Pandey, Manoj,Pandey, Sujata The Institute of Electronics and Information Engin 2009 Journal of semiconductor technology and science Vol.9 No.3
An analytical 2-dimensional model to explain the small signal and noise properties of an AlGaN/GaN modulation doped field effect transistor has been developed. The model is based on the solution of two-dimensional Poisson's equation. The developed model explains the influence of Noise in ohmic region (Johnson noise or Thermal noise) as well as in saturated region (spontaneous generation of dipole layers in the saturated region). Small signal parameters are obtained and are used to calculate the different noise parameters. All the results have been compared with the experimental data and show an excellent agreement and the validity of our model.
Noise Analysis of Sub Quarter Micrometer AlGaN/GaN Microwave Power HEMT
Rajesh K. Tyagi,Anil Ahlawat,Manoj Pandey,Sujata Pandey 대한전자공학회 2009 Journal of semiconductor technology and science Vol.9 No.3
An analytical 2-dimensional model to explain the small signal and noise properties of an AlGaN/GaN modulation doped field effect transistor has been developed. The model is based on the solution of twodimensional Poisson’s equation. The developed model explains the influence of Noise in ohmic region (Johnson noise or Thermal noise) as well as in saturated region (spontaneous generation of dipole layers in the saturated region). Small signal parameters are obtained and are used to calculate the different noise parameters. All the results have been compared with the experimental data and show an excellent agreement and the validity of our model.