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Active and Passive Electronic Components
Volume 2011 (2011), Article ID 713129, 4 pages
http://dx.doi.org/10.1155/2011/713129
Research Article

Characterization of Series Resistance and Mobility Degradation Parameter and Optimizing Choice of Oxide Thickness in Thin Oxide N-Channel MOSFET

Laboratoire d'Électronique, d'Instrumentation et de Traitement du Signal, Equipe de Caractérisation des Composants à Semi-Conducteurs, Faculté des Sciences, Université Chouaib Doukkali, BP 20, EL Jadida, Morocco

Received 28 June 2011; Revised 10 August 2011; Accepted 10 August 2011

Academic Editor: G. Ghibaudo

Copyright © 2011 Noureddine Maouhoub and Khalid Rais. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We present two methods to extract the series resistance and the mobility degradation parameter in short-channel MOSFETs. The principle of the first method is based on the comparison between the exponential model and the classical model of effective mobility and for the second method is based on directly calculating the two parameters by solving a system of two equations obtained by using two different points in strong inversion at small drain bias from the characteristic (). The results obtained by these techniques have shown a better agreement with data measurements and allowed in the same time to determine the surface roughness amplitude and its influence on the maximum drain current and give the optimal oxide thickness.

1. Introduction

Accurate model parameter extraction is crucial for modeling modern MOSFET devices. Extensive work abounds in the literature dedicated to this subject. Free-carrier mobility degradation and source-and-drain series resistance are two parameters of special importance for MOSFET characterization that are particularly cumbersome to extract independently from each other. Both of these parameters produce similar effects on the device’s transfer characteristics, (), a fact that complicates their accurate extraction.

Several ingenious procedures have been proposed to circumvent this difficulty [15]. Another method was proposed to extract these parameters from the drain current versus gate voltage characteristics in the saturation region using several devices of different mask channel lengths [6]. An alternative procedure was recently proposed to extract the source-and-drain series resistance independently of mobility degradation by using bias conditions under which the channel carrier mobility is kept constant [7]. Another recent works presented direct fitting and direct calculating methods in strong inversion and by exploiting the characteristic () [8, 9].

In what follows we present a two procedures to be applied to the strong inversion () characteristics of a single transistor, measured at a small drain bias. It is based on the exploiting of exponential model of effective mobility. The procedure has been validated using data from a single experimental short channel device.

The drain current, , at very small drain bias, can be expressed in terms of intrinsic voltages as where is the channel width, is the channel length, is the oxide capacitance, is the effective free-carrier mobility, is the intrinsic gate voltage, the intrinsic drain voltage, and is the threshold voltage.

If the source-and-drain series resistance is significant, the device’s intrinsic gate and drain voltages are where and are the externally applied gate and drain voltages, respectively, and is the total source-and-drain series resistance.

The model of variation mobility with effective field considers that the attenuation of effective mobility is particularly due to Surface Roughness Scattering [10]. This work generalized all the classical models [9, 11] and give a physical meaning to the different used parameters.

The effective mobility is given by the exponential model in strong inversion: where is the intrinsic attenuation coefficient of mobility, η is constant parameter equal to 0.5 for electrons and 0.33 for holes, is the inverse of the thermal potential, is the silicon permittivity, Δ is the surface roughness amplitude, and represents the low-field mobility.

Assuming that , relation (1) becomes where Introducing the series resistance effect, the effective mobility becomes where The transconductance is given by

2. First Method

According to the classical model [10], and for low fields, the comparison of the first-order development of the exponential term in relation (3) gives the relation between the intrinsic coefficient attenuation mobility in exponential model and its value extrinsic in the classical model: The values of and are determined, respectively, by the slope in the plot of and which are straight line at relative low field.

For thin oxide and at high field, the characteristic , which has the advantage to be independent of series resistance, presents a deviation with regard to .

We note that can reach the value zero at : Experimentally we use the device below this value, meanwhile we use the characteristic () versus . The value at ten per; cent of this characteristic is corresponding to the critical value ; combining (11) with relations (3) and (10) we obtain the surface roughness amplitude Δ and series resistance , respectively.

3. Second Method

The procedure involves first extracting the expression from the drain current equation and using the function .

Setting , and after some mathematical manipulation we obtain the following expression: Secondly, we choose two points in the characteristic () in strong inversion and ( and ), and we solve the following system: Determining the parameter is done using the subtraction of the two system equations; we obtain a second order equation whose appropriate solution is: where The series resistance expression can be written using one of the two system equations: The choice of and is determined in mobility degradation effect zone.

4. Results and Discussion

In order to validate the previous procedures, the device used in this work has the parameters: channel width μm, gate oxide thickness  nm, channel length μm, and channel doping  cm−3.

The transfer characteristics were measured at a small drain voltage:  mV. The application of our model with calculated parameters (Table 1) shows a good agreement with experimental data (Figure 1).

tab1
Table 1: Values of the different extracted parameters.
713129.fig.001
Figure 1: Transfer characteristics (symbols). Also shown is the corresponding model (continuous line) obtained from the drain current model using the calculated parameters (Table 1).

In relatively weak field we use model (1) as an approximation of our model; we plot this function . The parameter can be extracted from the axis intercept of the observed straight lines of versus plot (Figure 2).

713129.fig.002
Figure 2: Characteristic versus gate voltage.

Figure 3 shows the characteristic () versus which allows determining the intrinsic attenuation parameter.

713129.fig.003
Figure 3: Characteristic to () ratio versus gate voltage.

5. Optimization of Drain Current

At , the drain current is maximal, its value is where is the minimal resistance of channel: We note its independence of the oxide thickness and its proportionality of the surface roughness amplitude and of the channel length.

On the other hand, if we plot versus the oxide thickness for a given gate voltage (Figure 4), we can find the optimal oxide thickness. In fact, for very thin oxide the collisions on surface roughness predominate, and for thick oxide the inversion charge decreases, and consequently the drain current.

713129.fig.004
Figure 4: Drain current versus oxide thickness for  V.

6. Conclusion

We have presented two procedures that permit us to extract the mobility degradation factor, the series resistance, and the surface roughness thickness of MOSFET using the exponential model of mobility. The procedures are simple and accurate and based on calculating the model parameters using the experimental data measured in strong inversion at small drain bias. The exponential model of mobility allows also us to optimize the oxide thickness for the transistor.

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