3.3.2 Electron Transport

Simulations with two different setups are conducted: one with a bandgap of 1.89 eV (effective mass 0.11m$ _0$ in the $ \Gamma_{1}$ valley [218]), and one with a bandgap of 0.69 eV (effective mass of 0.04m$ _0$ [219]), as summarized in Table 3.4. Results for electron mobility as a function of lattice temperature, free carrier concentration, and electric field are obtained.

As a particular example, Fig. 3.8 shows the low-field electron mobility in hexagonal InN as a function of free carrier concentration. Results from other groups [176],[222],[231] and various experiments [231],[232],[233], [234] are also included. Assessing the classical band structure model ( $ \ensuremath{\mathcal{E}}_{\ensuremath{\mathrm{g}}}$=1.89 eV), we achieve an electron mobility of $ \approx$4000 cm$ ^2$/Vs, which is in good agreement with the theoretical results of other groups using a similar setup [176]. Considering the newly calculated band structure model ( $ \ensuremath{\mathcal{E}}_{\ensuremath{\mathrm{g}}}$=0.69 eV), a maximum mobility of $ \approx$10000 cm$ ^2$/Vs is achieved.

Figure 3.8: Low-field electron mobility as a function of carrier concentration in InN:
Comparison of the MC simulation results and experimental data.
\includegraphics[width=0.47\textheight]{figures/materials/InN/InNconcE.eps}

The corresponding scattering rates are illustrated in Fig. 3.9. The increased mobility can be explained with the lower effective electron mass. Polyakov et al. [221] calculated a theoretical limit as high as 14000 cm$ ^2$/Vs, however their simulation does not account for piezoelectric scattering which is the dominant mobility limitation factor at low concentrations (see Fig. 3.9).

Figure 3.9: Illustration of the scattering rates in our simulation for wurtzite InN as a function of carrier concentration at 300 K.
\includegraphics[width=0.43\textheight]{figures/materials/InN/InNscat.eps}

Fig. 3.10 shows the mobility as a function of concentration for various values of the polar-optical phonon scattering coefficient and the high-frequency dielectric constant. Choosing the lower value results in a much higher maximum mobility, while the dependence on the scattering coefficient is lower.

Figure 3.10: Low-field electron mobility as a function of carrier concentration in InN:
Comparison of the MC simulation results with different setups.
\includegraphics[width=0.43\textheight]{figures/materials/InN/InNconsS.eps}

Fig. 3.11 shows the electron drift velocity versus electric field at 10$ ^{17}$ cm$ ^{-3}$ carrier concentration. Our MC simulation results differ compared to simulation data from other groups [221],[223],[228],[235] either due to piezoelectric scattering at lower fields or, at high fields, due to the choice of parameters for the permittivity and polar optical phonon energy ( $ \hbar \omega _\ensuremath{\mathrm{LO}}$).

Figure 3.11: Drift velocity versus electric field in wurtzite InN: Comparison of MC simulation results.
\includegraphics[width=0.43\textheight]{figures/materials/InN/InNfieldE.eps}

Fig. 3.12 shows our simulation results obtained with $ \ensuremath{\mathrm{m}}_{\Gamma 1}$=0.04m$ _0$ and with different values of the permittivity and phonon energy. The values $ \varepsilon_{\mathrm{\infty}}$=6.7 and $ \varepsilon_{\mathrm{s}}$=11.0 proposed in [222] lead to lower electron velocities. Fig. 3.13 confirms that first the polar optical phonon scattering and then the acoustic deformation potential and inter-valley phonon scattering rates increase with higher electric field, and are therefore decisive for the NDM effects.

Figure 3.12: Drift velocity versus electric field in wurtzite InN: MC simulation results with different parameter setups.
\includegraphics[width=0.43\textheight]{figures/materials/InN/InNfieldS.eps}

Figure 3.13: Illustration of the scattering rates in our simulation for wurtzite InN as a function of electric field.
\includegraphics[width=0.43\textheight]{figures/materials/InN/InNscatfield.eps}


S. Vitanov: Simulation of High Electron Mobility Transistors