Research Article  Open Access
Yasuhisa Omura, "Impact of Band Nonparabolicity on Threshold Voltage of Nanoscale SOI MOSFET", Active and Passive Electronic Components, vol. 2016, Article ID 6068171, 8 pages, 2016. https://doi.org/10.1155/2016/6068171
Impact of Band Nonparabolicity on Threshold Voltage of Nanoscale SOI MOSFET
Abstract
This paper reconsiders the mathematical formulation of the conventional nonparabolic band model and proposes a model of the effective mass of conduction band electrons including the nonparabolicity of the conduction band. It is demonstrated that this model produces realistic results for a sub10nmthick Si layer surrounded by an SiO_{2} layer. The major part of the discussion is focused on the lowdimensional electron system confined with insulator barriers. To examine the feasibility of our consideration, the model is applied to the threshold voltage of nanoscale SOI FinFETs and compared to prior experimental results. This paper also addresses a model of the effective mass of valence band holes assuming the nonparabolic condition.
1. Introduction
In the last 3 decades, silicononinsulator (SOI) MOSFETs have been attracting attention because of their high shortchannel effect immunity [1] and excellent potential with regard to future nanoscale devices [2]. Therefore, many studies on quantum confinement effects have been performed. The author predicted that the threshold voltage () of ultrathinbody (UTB) SOI MOSFET rises as SOI body thickness () is reduced due to the quantummechanical confinement effect [3]. Several studies have demonstrated experiments [4] that, they believe, demonstrate the effect of quantum confinement. However, the author demonstrated that the apparent rise of of UTB SOI MOSFETs is due to more than the quantum effect; it includes the semiclassical effect [5]. Other experiments strongly suggested that a simple parabolic band model is not appropriate in analyzing of nanoscale SOI MOSFETs [6, 7]; in these experiments, the threshold voltage was lower than the simulation values that assume the parabolic conduction band ( bands for Si) for nm. The possibility of determining the limits of the conventional parabolic band approximation is a motivation of this study. Recently, a couple of research articles demonstrated the importance of band nonparabolicity in the analysis of the transport characteristics of nanoscale materials [8, 9], where the first principle calculation and the tightbinding method are used to compute the electronic states. In practical situations, however, demand an analytical closed form for the quantized energy levels and an effective mass tensor is requested for electronic device designs, since they greatly reduce the time costs.
This paper reconsiders the mathematical formulation of the conventional nonparabolic band model. This paper examines whether some perturbations can be added to the conventional model for convenience. In the following discussion, this paper focuses on a lowdimensional electron system confined by insulator barriers. We discuss the impact of the nonparabolic conduction band in Si on the effective mass and propose an analytical expression for the effective mass of electrons including the conduction band nonparabolicity. The model is applied to the threshold voltage of nanoscale SOI FinFETs, and its validity is examined. By examining the mathematical basis for the effective mass of electrons that have conduction band nonparabolicity, this paper also illuminates a model for the effective mass of holes having valence band nonparabolicity.
2. Modeling Nonparabolic Band Structure
When an isotropic band structure is assumed, it is conventionally known that its form can be expressed generally as [10]where is the effective mass of electrons in the isotropic band, is the nonparabolic band factor, is the energy of electrons in the nonparabolic band, and is the electron energy expression in the form of the parabolic band scheme. Here we reconsider how the realistic effective mass for device analysis should be estimated; the above simplified nonparabolic band model is assumed for the conduction band electrons of a threedimensional quasifree electron system.
When an external field effect is taken account of, we must examine whether the following formulation is theoretically valid or not:where is the perturbation energy corresponding to the 1storder perturbation generated by the external electric field and is the perturbation factor. When (2) is valid, (2) can be rewritten asIn order to examine the availability of (3), the righthand side of (3) is changed into Tayler’s power series. where is the expansion coefficient and . If (4) is meaningful, should be the eigenvalue of the corresponding Schrödinger’s equation. That is, (4) should be equivalent to the following operator representation:where all suffice and correspond to those in (4) and is the perturbation term that is expressed asWhen we can assume that the amplitude of is smaller than that of [11], we approximately haveEquation (7) has the same form as (3). However, as the above formulation indicates, the meaning of (7) differs from that of (3) because (7) has been examined with the Hamiltonian operator representation in spite of the approximations used. Provided that prominent nonlinear effects are not significant, it can be concluded that (7) holds important physical meaning in terms of evaluating nonparabolic band effects on transport characteristics.
For the twodimensional electron system, (7) can be rewritten as [11]for the th subband attributed to the specific conduction band, where is the subband energy level of electrons, is the discrete wavenumber of the subband labeled “” in the quantum well, and is the energy component of the transport direction. Equation (8) is valid only for based on the same assumption used for (7). Actually, it is easily found that is much smaller than for electric fields less than 10^{7} V/cm and < 10 nm [10]; therefore, (8) is applicable to the analysis of nanoscale MOSFET characteristics.
The result described above yields an expression for the effective mass tensor () for twodimensional electron systems around the subband bottom as in [14]. Before using (8) for direct calculations, we review the conventional idea of the effective mass. We must recall the fact that electronic states with finite dimensions are inherently discrete; the difference from a very small size material is just the magnitude of between adjacent states. Naive calculation discards the term of the group velocity, but this is erroneous in terms of physics. The correct calculation result is given aswhere “j” means confinement direction and is the “effective group velocity” along the direction labeled by “j.” Given that label “i” indicates the transport direction, we haveGiven that label “j” represents the confinement direction, we havewhere is the discrete wavenumber and is the effective mass along the confinement direction. The 2nd term of the righthand side is the perturbation term raised by the external field. When the semiconductor layer thickness is of the order of nanometers, the contribution of the 2nd term of (11) is quite small. Thus, the effective mass tensor () value of lowdimensional electron systems can be calculated around the subband bottom [15]; the important point is the fact that the effective mass of electrons is larger by the factor of than that estimated assuming a parabolic band.
3. Calculation Results of Effective Mass of LowDimensionality Electrons
Assuming a thin Si layer, we calculated effective mass values ( and ) for the (001) surface, where it is assumed that 2fold and 4fold band electrons are confined along the axis. Physical parameters assumed in calculations are summarized in Table 1. Figure 1 shows the effective mass of electrons occupying the ground state as a function of Si layer thickness (), where the nonparabolicity factor is assumed to be 0.5 eV^{−1} and, for comparison, 1st principle calculation results [8, 9] are also shown; the impact of band nonparabolicity on the effective mass of conduction band electrons appears when < 5 nm [8, 9]. The present model successfully reproduces the 1st principle calculation results. Figure 2(a) shows the effective mass of electrons occupying the 1st excited state as a function of Si layer thickness. For comparison, 1st principle calculation results [8, 9] are also shown in Figure 2(a). The present model does not reproduce the 1st principle calculation results, so the conventional value of is not appropriate. We, therefore, varied the value of until the calculated curves fitted the 1st principle calculation results. Figure 2(b) shows the calculation results of the effective mass value of conduction band electrons occupying the 1st excited state, including the nonparabolicity effect, where it is assumed that = 0.1 eV^{−1} for and = 0.05 eV^{−1} for . It is seen that the present model for effective mass successfully reproduces the theoretical simulation results. It is strongly suggested that the reason why the value of for the 1st excited state is smaller than expected stems from the approximation that stripped higherorder expansion terms from (7).

(a)
(b)
4. Applying Effective Mass Model to Express Threshold Voltage of Nanoscale MOSFETs
Since the threshold voltage () of ultrathinbody SOI MOSFETs is effectively ruled by the lowest energy level [3], it is easily anticipated that the impact of band nonparabolicity on is very significant. The author already clarified that the rise in threshold voltage stems from not only the quantummechanical mechanism [3] but also the semiclassical mechanism [5]. When it is assumed that the threshold voltage rising stems from the quantum confinement [3, 6, 15], for ultrathinbody nchannel SOI MOSFET can be expressed as [3]where is the flatband voltage, is the gate oxide capacitance per unit area, is the depletion charge density, is the “effective Fermi potential” including quantum effects (defined later), is the bandgap energy, and is the groundstate level energy of confined electrons in the conduction band. Fundamentally, the above expression for the threshold voltage of ultrathinbody SOI MOSFETs should yield the threshold voltage at low temperatures because the FermiDirac function has a steplike function at low temperatures. At room temperature, the FermiDirac function is thermally deformed, and the Fermi level does not simply define the threshold voltage; finite inversion layer charges are needed at the onset of the threshold [5]. From Boltzmann’s approximation, at room temperature we have [16]where is the density of states of twodimensional valenceband holes, is the groundstate level energy of confined holes in the valence band, and is the doping density; this expression is available for , where is the acceptor level energy. This expression is approximately derived from the following expression for intrinsic carrier density (), which should be called “effective intrinsic carrier density”, in the quantum well defined at room temperature [16].where is the density of states of twodimensional conduction band electrons; is the “effective bandgap energy” of the quantum well and can be expressed asIn calculating of a pchannel SOI MOSFET, we can also apply the present nonparabolic band model to holes (see the Appendix section).
On the other hand, for a quantumwire SOI fin fieldeffect transistor (FinFET) is expressed as [15, 17] where is Planck’s constant, is fin height, is fin width, is the quantum level energy, and (or ) is the effective mass of electrons occupying the corresponding subband. In (16b), it is assumed that the Si wire is confined along axis and axis.
Calculated dependence on fin width of SOI FinFET twodimensionally confined with (001) and (011) surfaces [6] and on SOI layer thickness of thin SOI MOSFET [7] is shown in Figure 3, where the top surface of the Si fin body is (001) and the side surface is (011). Physical parameters assumed in the calculations are summarized in Table 1. In this calculation of threshold voltage of FinFET, it is assumed that electrons of the Si body can be represented as quasitwodimensional system because the value of is larger than the minimal value of . The conventional parabolic band model overestimates the quantum confinement effect in the range defined by sub5nm . This suggests that the nonparabolicity should be taken into account when estimating the values of nanoscale SOI MOSFETs. On the other hand, experimental data of FinFET for > 5 nm take values higher than two curves. It is anticipated, as one possibility, that fabricationinduced local variation of SOI layer thickness influences the threshold voltage of devices [6, 7, 18].
Geoninsulator (GOI) devices are now attracting attention from the viewpoints of highspeed device applications. However, it is known that Ge demonstrates stronger conduction band nonparabolicity than Si. Therefore, the discussion given here is critical when considering nanoscale GOI device characteristics [19].
5. Conclusion
This paper reconsidered the mathematical formulation of the conventional nonparabolic band model. Since the conventional simplified model for band nonparabolicity does not include the perturbation created by the external potential effect, we examined whether such perturbations could be added to the conventional model for convenience. When the perturbation energy is smaller than the unperturbed energy, the insertion of a perturbation term into the conventional expression for the nonparabolic band model is valid; it was confirmed that this approximation is acceptable given a sub10nmthick Si layer surrounded by an SiO_{2} layer. The major discussion focused on the lowdimensional electron system confined by an insulator barrier. For the purpose of verifying this consideration, we addressed the influence of band nonparabolicity on the threshold voltage of Sibased nanoscale SOI FinFETs; calculation results yielded by the proposed model were compared to experimental results and the validity of the model proposed here was confirmed.
Appendix
Modeling Nonparabolicity of Valence Band Holes
In the valence band, it is well known that the nonparabolic band energy dispersion relation of holes can be approximately expressed as [10]where , , and are constants with values of 4.22, 0.78, and 4.80, respectively [10]. When the system is confined along axis, is discrete and its notation should be replaced with (, 2, 3…). Equation (A.1) must be replaced with the following:Therefore, the effective mass of holes () in the valence band can be expressed asAt the bottom of valence band, , and we haveFrom (A.4), we have for the light hole and for the heavy hole. Thus, when we use those effective mass values, the groundstate level energy is given byEquation (A.4) is an approximate expression for the effective mass of holes without any dependence. However, this is not an appropriate result because values are not accurate for both light holes and heavy holes as shown above. Accordingly, we have to derive a new dependent expression for the effective mass of holes.
Our solution is to rewrite (A.1) as a function of parabolic band energy :where we assume thatSince we have in (6), (6) can be approximately rewritten as Here, we consider the case of a twodimensional hole system in which the confinement is along axis; from (A.7), we havewhere a parabolic band hole system is assumed for simplicity; it is assumed that is the parabolic band mass of holes; that is, . Combining (A.8) with (A.9) yields the following expression for the twodimensional hole system.In a practical twodimensional system, carriers are usually confined by barriers and the external field (). Therefore, we have to introduce a perturbation () to represent the effect of the external field into (A.10). Accordingly, we havewhere stands for the external energy stemming from the external field (). This expression is physically reasonable when [20].
Competing Interests
The author declares that there are no competing interests.
Acknowledgments
A part of this study was partially conducted by MEXTSupported Program for the Strategic Research Foundation at Private Universities, “creation of 3d nanomicro structures and its applications to biomimetics and medicine,” 2015–2019.
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Copyright
Copyright © 2016 Yasuhisa Omura. 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.