Simulation of Semiconductor Processes and Devices 2004 2004
DOI: 10.1007/978-3-7091-0624-2_58
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A New Backscattering Model for Nano-MOSFET Compact Modeling

Abstract: For fast computation of drain current in Nano-MOSFET, we have developed a new backscattering model based on the accurate determination of ballistic and backscattering probabilities along the channel. The main elements of this model are deduced from careful analysis of transport in devices using Monte Carlo simulation. The backscattering coefficient is in very good agreement with the results of Monte Carlo spectroscopy for MOS transistors and N+/N/N+ diodes.

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(2 citation statements)
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“…This probability of backscattering is illustrated in Figure 3: (6) and the coefficient Rc is deduced by taking into account the carrier distribution as illustrated in Figure 4: This backscattering model can correctly reproduce the universal mobility based on the Takagi data [6]. Finally, thanks to 2 fitting parameters for the description of short channel effects, the charge at the top of the barrier is computed and the I(V) characteristics are modelled and validated by Monte Carlo simulation as illustrated in Figure 5.…”
Section: Pr ()mentioning
confidence: 99%
See 1 more Smart Citation
“…This probability of backscattering is illustrated in Figure 3: (6) and the coefficient Rc is deduced by taking into account the carrier distribution as illustrated in Figure 4: This backscattering model can correctly reproduce the universal mobility based on the Takagi data [6]. Finally, thanks to 2 fitting parameters for the description of short channel effects, the charge at the top of the barrier is computed and the I(V) characteristics are modelled and validated by Monte Carlo simulation as illustrated in Figure 5.…”
Section: Pr ()mentioning
confidence: 99%
“…For different drain and gate voltages, the model is validated for the MOSFET described in [6] ( Figure 2). From the probability Nbal i(x) we can deduce the probability Nsca-it(x) for an electron to have its first scattering event at position x:…”
Section: Ii-analytical Quasi Ballistic Modelmentioning
confidence: 99%