The small geometry V,, model for n-channel MOSFET with fully recessed isolation oxide will be [67] 5.116 5.4 Temperature Dependence of the Threshold Voltage The threshold voltage of l
Trang 1while
where
and V i s is given by Eq (5.101) The above model for V,, shows an approxi-
mately inverse quadratic dependence on channel length L and an inverse dependence on oxide capacitance Cox It should be pointed out that the
weak dependence of the short-channel effect on the junction depth X j has
not been taken into account In normal enhancement devices, this effect is
small Figure 5.26 shows the V,, variation with drain bias for two different
back bias ( K b = 0 V and V,, = - 2 V) Continuous lines are experimental data while dashed lines are based on Eq (5.102) As can be seen, agreement between the experimental data and the model is fairly good
Empirical Approach Very often in actual devices, the exponential depen-
dence of the DIBL effect on L is not observed In such cases an empirical
approach is often used, assuming the surface potential to be constant along the length of the channel, even for short channel devices This assumption results in a very simple expression for cr, which can be derived as follows [79]:
When V,, is small (< 0.1 V), the substrate depletion region width X , , may
be calculated using the Poisson equation When V,, is large, an additional
potential will be imposed in the region already depleted Since no additional charge appears in Poisson’s equation, this additional potential satisfies the Laplace equation:
d2V,
~ = 0
Trang 2Under the simplifying assumptions that (1) source/drain junction depths are small compared to the channel length, and (2) using the approximate boundary conditions that I/, = 0 at the source region and I/, = V,, at the
drain region, we can solve Eq (5.103), resulting in the following expression for the field E , at the source end 1791
and N b The exponent m of L varies in the range 1-3 The back bias
dependence of m has also been proposed [83], but for circuit models, it is
more appropriate to take m as constant as is done in almost all empirical
models [SO] SPICE Level 3 model uses Eq (5.106) with m = 3, CJ, = 0 and
o0 as a fixed constant value, not a fitting parameter The threshold voltage
as a function of drain bias for a typical n-channel 1 pm CMOS technology
at two substrate bias is shown in Figure 5.29 Symbols are experimental data while dashed and continuous lines are based on Eq (5.106)
Based on a 2-D solution, Masuda et al [ S 2 ] have proposed the following
Trang 3DRAIN VOLTAGE, Vd, (VOLTS)
Fig 5.29 Variation of threshold voltage with drain voltage at two different back bias V,, = 0 and 3 V with channel length as a parameter for a typical n-channel 1 pm CMOS process
A slightly different form for the back bias v,b (through C,) dependence has also been proposed [84]
(5.109)
where cd is the depletion capacitance and is obtained by differentiating the bulk charge Qb For example, for a uniformly doped substrate, we can write
functional dependences on the channel length L Thus,
the charge sharing models show a v,, dependence of 1/L,
the empirical models show v,, dependence of 1/L" (1 < n < 3),
the 2-D models show V,, dependence of exp( L/Lo)
Trang 4The dependencies are quite different and do cause confusion as to which model is valid Obviously, the model to choose depends upon the process technology It has been found that for circuit models Eq (5.106) is fairly
general and fits most of the technology data the author has come across
5.3.4 Small-Geometry EfSect
When both the device width W and length L are small, that is, when both
W and L are of the same order of magnitude as the depletion width X d m ,
then the device is called a small geometry device." For example, in a 2 pm
geometry device A first order estimate of the threshold voltage induced
by small-geometry effect can be obtained by superposing the short-channel and narrow-width effects such that
AVfh = AKhJ + AVth,W
so that the total threshold voltage at low V,, for small-geometry devices becomes
(5.112)
This is the approach used in most of the circuit simulators, including SPICE However, Eq (5.112) overestimates AVth due to the small-geometry effect This is because short-channel and narrow-width effects are not really independent as assumed in Eq (5.112) In fact, there is a coupling between
these two efects which results in a compensating e f e c t This is because
both W and L determine the gate controlled charge and the volume of the charge must be properly identified Therefore, mere addition of the two effects does not accurately predict Kh
We will develop a simple model for small small-geometry devices based
on Yau's charge sharing approach which will illustrate this compensating effect on Vth Figure 5.30 shows one side of the extra charge AQJ2 in the
depletion region due to the narrow width effect for an assumed triangular region Since the short-channel effect reduces the bulk charge, the resulting geometry indicated by the dotted line shows the amount of the extra charge induced due to short-channel effect The volume V of the extra charge that is responsible for AVth,W is obtained by first finding the wedge volume and then subtracting the volume of the pyramid shape regions shown by
l o A device with minimum L and W allowed by the process technology is referred to as
the minimum size device for that technology
Trang 5where the factor of 2 accounts for both sides of the device and X , is given
by Eq (5.65) The compensated depletion charge due to width effect becomes
(5.113)
Comparing this equation with Eq (5.88) clearly shows the effect of the
short channel on the extra charge in the width direction From Yau’s model [cf Eq (5.66)] we have
so that AV,, due to the small geometry effect is obtained by adding Eqs (5.113) and (5.114) as
Clearly, the change in threshold voltage due to the small geometry effect
is reduced by the extra term that originates due to the compensating effect This is basically the model proposed by Merckel [S7] Note that the value of
the fitting parameter G, will be different when used with Eq (5.88) Others
Trang 6[89] have also proposed models for the small-geometry effect, but they are not very different from the above model
The small geometry V,, model for n-channel MOSFET with fully recessed
isolation oxide will be [67]
(5.116)
5.4 Temperature Dependence of the
Threshold Voltage
The threshold voltage of long channel implanted MOSFETs is given by
Eq (5.63) and is determined by device physical parameters, such as flat band voltage Vfb, bulk Fermi potential 4,, and body factor y Since both
4 , (cf section 2.4) and V,, (cf section 4.7) are temperature dependent,
V,, is also temperature dependent In fact temperature dependence of
V,, is primarily governed by the temperature dependence of 4, and V,,
[30], [90]-[93] Recall that the magnitude of both g5f and V,, decreases with
increasing temperature, therefore the magnitude of V,, also decreases with
increasing temperature for both n- and p-channel devices Typically, the
curve (e) is for depletion type device All devices have n+ polysilicon gates The temperature
coefficient of V,, (dVth/dT) is shown on each curve
Trang 72 2 2 5 Threshold Voltage temperature coefficient of threshold voltage I dl/,h/dTI lies in the range 1-3mV/degree depending upon the type of MOSFET and its physical parameters such as gate oxide thickness to,, substrate concentration N , , etc
Measured values of the threshold voltage as a function of temperature for
different types of long-channel MOSFETs are shown in Figures 5.31 and
n-channel enhancement type devices, while curve (e) is for n-channel deple- tion type device; all these devices are with n+ polysilicon gates While curves (a), (b) and (c) are for channel implanted devices, curve (d) is for uniformaly doped device Although both curves (b) and (c) are for enhance-
ment devices, curve (b) has higher t0,(300A), and lower surface concen-
tration (3 x ~ m - ~ ) compared to curve (c), which has to, = 105 A and
N , = 3 x 10l6 ~ m - ~ The temperature dependence of V,, for p-channel
devices is shown in Figures 5.32; curves (a) and (b) are for n+ polysilicon
gates while (c) is for p + polysilicon gate The 1 dK:,/dTI is shown on each curve Note that in all these devices V,, varies linearly with the temperature This
linear dependence of V,, on temperature is valid down to 5 0 K [94,95] The temperature behavior of V,,, can easily be predicted from Eq (5.63)
Remembering that the temperature dependence of Vfb is governed by the temperature dependence of a,,,,, the work function difference between the
gate material and the substrate [cf section 4.7.11, differentiating Eq (5.63)
Fig 5.32 Measured threshold voltage variation with temperature for different types of
p-channel enhancement type MOSFETs Curves (a) and (b) are with n + polysilicon gate,
while curve (c) is with p + polysilicon gate
Trang 8Tuth, of a MOSFET depends upon the following parameters:
The substrate concentration N , ; the higher the N , , the higher the $f, and therefore, the higher the Tuth At lower-temperatures 4f increases; therefore,
d will be reduced further and consequently, substrate sensitivity (change
lower the temperature, the lower the substrate sensitivity
The gate oxide thickness Lox; the higher the to,, the higher the body factor
y and hence higher the at term In other words, thicker gate oxides result
in higher Tuth
The back bias Vsb; the higher the Vsb, the lower the sd term, and con- sequently Tot,, becomes smaller at higher vsb This is evident from curve (a) and (b) (Figs 5.31 and 5.32) which are for Vsb = 3 V and 0 V, respectively
n-Channel Devices (nMOST) For n-channel enhancement devices (n'
polysilicon gate and p-substrate) &D,,/dT is given by Eq (5.120a) Since
Eqs (5.119) and (5.120) when used in Eq (5.117) almost compensate each other, it is the last term in Eq (5.117) that mainly contributes to the
temperature coefficient of Vth Furthermore, for implanted devices, V , and
Trang 9224 5 Threshold Voltage
24f almost compensate each other, therefore d according to Eq (5.118) has a relatively larger value compared to unimplanted devices where V , is zero This explains why unimplanted devices have a lower temperature coefficient compared to the implanted devices (see curves (b) and (c) in
Figure 5.31) Since V,, increases d , Turh decreases (compare curves (a) and (b) in Figure 5.31) For n-channel depletion devices (n' polysilicon gate
and n-silicon surface), Eqs (5.120b) for a@,,/aT and (5.119) for a@,,/aT
when used in Eq (5.117), do not compensate each other, but rather add
up Therefore, all three terms of Eq (5.117) contribute to Tot,, resulting in
a higher temperature coefficient compared to enhancement devices (curve
e, Figure 5.3 1) For curve (d), higher Tuth is also due to higher to, ( = 420 A)
compared to 300w for curve b)
p-Channel Devices (pMOST) For p-channel devices with p + polysilicon gates, the situation is similar to that of n-channel enhancement devices
with n+ polysilicon gates and therefore, Tofh is almost the same as that of
CHANNEL LENGTH L ( pm) (a)
Fig 5.33 Variation of the temperature coefficient of threshold voltage To,,, as a function of
(a) channel length, (b) channel width, for a typical 1 pm CMOS process (After Arora [30].)
Trang 10n-channel enhancement devices However, for p-channel compensated devices (n’ polysilicon gate and n-type concentration at the silicon surface), the situation is similar to n-channel depletion devices and therefore, T,)th
in this case is higher compared to that of surface channel p-devices (see curves (a) and (b) Figure 5.32)
For short channel devices, part of the gate induced charge is depleted from
the source and drain resulting in the effective body factor ( y F , ) being smaller
compared to the long channel value; recall that F , is less than unity for
short-channel devices [cf Eq (5.67)] Furthermore, since .d is directly proportional to y, Eq (5.1 18) predicts that Tvth will decrease with decreasing channel length This behavior is indeed observed experimentally as shown in Figure 5.33 where the dots are experimental points and the continuous
lines are based on the Eq (5.1 17)
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Trang 156 MOSFET DC Model
The MOSFET model required for circuit simulation consists of two parts: (a) a steady-state or DC model, where the voltages applied at the terminals of the device remain constant, that is they do not vary with time; (b) a dynamic
or AC model, where the device terminal voltages do not remain constant
but vary with time In this chapter we will discuss only DC MOS transistor models for different regions of device operation In the next chapter we will deal with the dynamic models
We will first develop a rigorous drain current model for long channel devices We then simplify the model and derive a first order model based
on various assumptions This first order simple model is important in itself because it could be used for hand calculations of the drain current in a MOSFET circuit This simple model will be improved upon as we remove some of the assumptions The long channel model is then extended to short- geometry devices This will be followed by studying the effect of temperature
on the drain current characteristics
6.1 Drain Current Calculations
Let us consider an n-channel device with uniformly doped substrate of
concentration N , (cm ~ 3), the structure and dimensions of which are shown
in Figure 6.1 For the sake of simplicity we will assume this to be a large geometry device so that the short-channel and narrow-width effects can
be neglected The static and dynamic characteristics of a device under the influence of external fields in general can be described by the following three sets of coupled differential equations:
1 The Poisson equation (2.41) for the electrostatic potential 4,
Trang 162 The current equation (2.35a) for electrons,
drift diffusion
(6.2a)
which is the sum of two terms, drift due to the field & and difusion due
to the concentration gradient Similarly, for holes, we have
where (P, and q p are the electron and hole quasi-Fermi potentials,
respectively The total current density J = J , + J ,
3 The continuity equations (2.38)
Fig 6.1 Schematic of a n-channel MOSFET (nMOST) showing voltages and reference
direction The x , y and z directions are the distances into the silicon, along the channel
and width of the device, respectively
Trang 17232 6 MOSFET DC Model
are fairly complex; one could solve exactly only using numerical techniques,
as is done in 2-D device simulators such as MINIMOS [l], PISCES [a], etc However, in order to obtain approximate analytical solutions for use
in circuit simulators, we generally invoke assumptions that, though not rigorously true, do help to simplify these equations substantially
Assumption 1 Let us assume that the variation of the electric field 6, in
variation of the field €x in the x direction That is, the gradual channel
have developed threshold voltage models (cf section 5.1) As was pointed out in section 5.1, with this approximation the Poisson equation (6.1) becomes one-dimensional, that is we need only to solve
Using 2-D numerical analysis, it can be verified that the GCA is valid for most of the channel length However, it does fail near the drain region, where the longitudinal field 8, is comparable to the transverse field &x even
for long channel devices In spite of its failure near the drain end, the GCA
is used as it reduces the system to a 1-D current flow problem The fact that we have to solve only a 1-D Poisson's equation means that the charge expressions developed in chapter 4 for an MOS capacitor could be used for
a MOS transistor, with the modification that charge and potential will now
be position dependent in the y direction
operation of the n-channel device, V,, 2 0 and V,, 5 0 It should be pointed out that holes do become important in describing the device behavior in the avalanche or breakdown region, where impact ionization can create electrons and holes Since the current equation we are going to derive will not include breakdown regions, the drain current model needs to consider
and if one considers only the static characteristics of the device, as is presently the case, then the continuity equation (6.4) reduces to
This means that the drain current density is an electron current of vanishing
' Electrons are neglected for pMOST so that the current flow is assumed due to holes only, therefore, we need to consider only the hole current density J,
Trang 18divergence, that is the total drain current Id, is constant at any point along
the channel
dx = 0, that is, q, is constant in the x direction Such assumptions have
been used even in 2-D simulators and the results are very satisfactory 131
Thus, the current density J, [cf Eq (6.3)], which consists of both drift and diffusion components, is given by
Since the cross-sectional area of the channel in which the current flows is
the channel width W times the channel depth, integrating the above
equation across the channel depth (x direction) and width ( z direction)
gives the drain current Id, at any point y in the channel as:
Zds(y) = - W l : [ qn(x, y)p,(x,
It is important to note that p , in the above equation is the electron surface channel mobility (for nMOST), often referred to as the surface mobility p ,
in order to distinguish it from the bulk mobility, the mobility far away from
the surface that was discussed in section 2.5.1 The value of ps for electrons
is in the range 400-700cm2/V.s, while for holes it is in the range 100- 300cm2/V.s, and depends on both the gate and drain fields as discussed
in section 6.6 Since the electron to hole mobility ratio is 2 to 3, this results
in nMOST's being faster (higher current) than pMOST's In the rest of the discussion we will replace p , by ps to emphasize that the mobility we are dealing with is the surface mobility
In a MOSFET, the application of source and drain voltages relative to the substrate results in lowering of the quasi-Fermi level Fn (or potential
q,) at the source end by an amount qV,b, and at the drain end by an amount q(Vd,+ VSb), relative to the Fermi level E , in the substrate (see
Figure 5.1) It is the difference in qn between the source and drain that drives the electrons down the channel If we define Vcb(y) as the channel potential at any pointy in the channel [cf Eq (5.2)], then (see Figure 6.2)
Trang 19Eq (4.33b), i.e., p = N,e-@(y)i"t
Using Eq (6.9), the I,, Eq (6.8) can be written as
(6.1 1)
Assumption 5 Although ls depends on both 6TX and &y, as we will see later
in section 6.6, for now we will assume that p3 is constant, taken at some
average gate and drain field With this assumption ps can be taken outside
the integral in Eq (6.11) If we define Qi as the mobile charge density, that
is,'
(6.12)
All the charges discussed in this Chapter are charge per unit area, as was the case with the MOS capacitor, and are represented by Q with appropriate lower case subscript For example, gate charge density will be represented by Q,(C/cm2)
Trang 20then Eq (6.1 1) becomes
Assuming the GCA is valid along the whole length of the channel, then
integrating Eq (6.13) along the length of the channel ( y direction) we get
(6.14)
Thus, to calculate the current Ids, we need to calculate the mobile charge
density Q i Different current models have been developed depending upon
different estimations for Qi(y) We will now discuss these models
6.2 Pao-Sah Model
In this model Q i ( y ) is calculated numerically by integrating the electron
concentration in the x direction Equation (6.12) can be rewritten as
where 4s is the surface potential (4 = 4s at x = 0) and is position dependent due to the voltage applied between the source and drain terminals Note the lower limit of integration is 4 This is because electron charge comes mostly from the area where electron concentration exceeds the hole concentration, the inversion layer therefore ends at a point where 4 = 4,-
In the equation above &x is the field in the x direction and is obtained by
solving the Poisson equation (6.5) In analogy with an MOS capacitor [cf
Eq (4.47)], the Poisson equation for a MOSFET can be written as
The only difference between Eq (6.16) and the corresponding Eq (4.47)
for the MOS capacitor is the presence of the potential Vcb(y) in the exponent
and the position dependence of 4 ( y ) in the y direction [cf Eq (6.10)]
Integrating Eq (6.16) in the x direction, and following the same procedure
as was used in solving Eq (4.47), we get the field €x in silicon for the case
of a MOSFET as
(6.17)