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1.2 Detrimental Effects in MOS Devices

Despite all the advantages of SiC, commercially available devices perform far from their theoretical limits. This is mainly due to the fact that the larger band gap of \( \ac {Eg} = \SI {3.23}{\electronvolt } \) at 300 K leads to extended interactions of free carriers with interfacial trap states. The energetic positions of these states are within the SiC band gap but outside the silicon band gap and lead to enlarged hysteresis effects [24–29], which are investigated in Chapter 2, and bias temperature instability (BTI), as will be discussed in Chapter 3. Although there have been enormous improvements to the electrical performance within the last years by interface annealing in nitrogen containing atmospheres, like nitrous oxide (N2O) or nitric oxide (NO), SiC-based power MOSFETs still show one to two orders of magnitude higher interface state densities (math image) as their silicon based counterparts [30–35].

1.2.1 Bias Temperature Instability

Bias temperature instability (BTI), as one of the main topics of interest in countless reliability studies based on 4H-SiC MOSFETs [36–44], is caused by charge trapping at or near the SiC/SiO2 interface during (high temperature) gate stress, resulting in threshold voltage (math image) variations, which depend on the polarity of the stress voltage. A positive gate stress results in electron capture leading to (math image) shifts to more positive gate voltages, whereas a negative gate stress shifts (math image) to more negative gate voltages. Especially for SiC based power devices, a large positive voltage shift (math image) is undesirable because the voltage overdrive in the on-state is decreased. This is mainly a problem because unlike in silicon based power devices, the contribution of the channel resistance (math image) to the total on-resistance (math image) is significantly higher in SiC devices. Here, (math image) accounts for up to 50 % of the total (math image). Therefore, a reduction of the overdrive leads to a significant increase in the on-resistance (math image) and static losses, respectively. A more detailed discussion on the application relevance of BTI for SiC-MOSFETs is given in [43].

Theoretical background

BTI results from charge trapping at or near the semiconductor-insulator interface after the creation of new defects from precursors or charging of preexisting defects [45, 46]. Despite the fact that BTI in silicon based devices has been investigated for more than half a century, the detailed atomic origin is still heavily debated. Several microscopic defect candidates are under intensive investigation, including various interactions with hydrogen (diffusion, hopping, depassivation of silicon dangling bonds etc.) [47, 48], SiO2 intrinsic electron traps [49, 50], oxygen vacancies [51, 52] or dangling bonds [53, 54]. Although the absolute (math image) is more pronounced in SiC based devices, likely due to the larger band-gap, the BTI characteristics are, at least to some extent, analogous to Si based devices, indicating similar atomic origins. In Section 1.2.2, a more detailed overview on a hydrogen (H) related model (the H release model) is provided, which tries to link the permanent BTI component with H released from the gate-side of the MOSFET and is able to explain many features of BTI.

Figure 1.6: Left: classic view of the trapping mechanism extended with a distributed trap level which results in a distributed activation energy (math image). Right: modern interpretation using non-radiative multiphonon (NMP) theory with distributed activation energies for capture ((math image)12) and emission ((math image)21) processes.

A often used model for the charge trapping mechanism is shown in Fig. 1.6 (left) assuming a single trap state at the energy level (math image) within the oxide close to the SiC/SiO2 interface. At a fixed Fermi-level (e.g during constant bias stress) the classic model is extended by introducing an activation energy (math image). Furthermore, the activation energy of the trap state to change its occupancy is assumed to be normally distributed. A more comprehensive explanation of the atomic mechanism is given by the NMP model (Fig. 1.6, right), which also accounts for the atomic deformation of the defect when the charge state is changed and the electric field dependency for both, capture and emission times of the defect [55, 56]. In the NMP model the neutral and charged state of a defect are described as a parabolic function representing the possible energy states (cf. quantum harmonic oscillator) as depicted in Fig. 1.6 (right). Here \( q_1 \) and \( q_2 \) are the reaction coordinate equilibrium positions with the distributed local ground state energies \( E_1 \) and \( E_2 \) of the neutral and charged state, respectively.

The required activation energy for a transition of the charge state depends on the ground state energy and the shape of the energy potentials (parabolas). As an example, we start with a neutral precursor described by the green parabola. After providing enough energy (math image)12 through lattice vibrations to change the charge state, the state configuration changes (e.g bond length, equilibrium nuclei position etc.) and is now described by the red parabola. Hence, the activation energy for the reverse transition from the charged (red) to the neutral (green) state is given by (math image)21, which usually differs from (math image)12.

Assuming a distributed (math image), the capture/emission process is distributed in time according to the characteristic capture or emission time constant (math image)

(1.2) \{begin}{align}   \tau = \tau _{0} \exp \left (\frac {E_{\text {A}}}{\ac {kb}T}\right ) \{end}{align}

with the Boltzmann constant (math image), the temperature (math image) and the pre-exponential factor \( \ac {tau0} \).

The influence of distributed activation energies on the observed voltage shift (math image) during stress and recovery is shown in Fig. 1.7. For instance, a normally distributed (math image) with a mean value \( \mu = \SI {1}{\electronvolt } \) and standard deviation \( \sigma = \SI {0.1}{\electronvolt } \) (green, top) will lead to a voltage shift versus stress time behavior with trapping times within 1 × 104 s and 1 × 1012 s (middle, green). Increasing the width of the (math image) distribution will lead to a larger stretch out of the stress time dependence as shown in blue (\( \mu = \SI {1}{\electronvolt } \), \( \sigma = \SI {0.2}{\electronvolt } \)) and red (\( \mu = \SI {0.5}{\electronvolt } \), \( \sigma = \SI {0.3}{\electronvolt } \)). The bottom picture in Fig. 1.7 represents the discharging behavior for the same set of activation energies assuming all trapping centers have been filled during the preceding stress. In real devices, a combination of various defects with characteristic energy barriers will contribute, leading to a convolution of the individual voltage shift vs time behaviors [46]. For broadly distributed activation energies, (math image) approaches the often used power-law approximation

(1.3) \{begin}{align} \label {eq:plf} \ac {dV} = A \cdot t^{k} \{end}{align}

with the pre-factor \( A \) and the power-law factor \( k \), which is only valid within a narrow time window. An example of a mixture between two individual defects (red and blue) is given in Fig. 1.7 as a dashed black line for stress (middle) and recovery (bottom).

Figure 1.7: Simulated impact of distributed activation energies (top) on the observed voltage shift during stress (middle) and recovery (bottom) according to (1.4) and (1.6), respectively. The dashed black line represents a mix of the red and blue distributions, which leads to a broad dis- tribution enabling the often used power-law approximation, which is only valid within narrow experimental windows.

Instead of using (1.3), a physical way to describe the voltage shift (math image) during bias stress is given by [57]

(1.4) \{begin}{align} \label {eq:dV_stress} \Delta V(\ac {tstr}) = \frac {\ac {dVmax}}{2} \, \textrm {erfc} \left (- \frac {\ac {kb}T\ln (\frac {\ac
{tstr}}{\ac {tau0}})-\mu }{\sqrt {2}\sigma } \right ) \{end}{align}

with the stress time (math image), the maximum voltage shift (math image) as an additional fitting parameter, the parameters of the normal distribution \( \mu   \) and \( \sigma     \), and the complimentary error function (erfc), which is given by

(1.5) \{begin}{align} \label {FU:eq:erfc} \text {erfc}\left ( x \right ) = 1 - \text {erf}\left ( x \right ) = \frac {2}{\sqrt {\pi }} \, \int _{x}^{\infty
} \text {e}^{-a^2} \, \mathrm {d}a \text {.} \{end}{align}

In addition to the capture process, the emission process during recovery can be described with a similar equation

(1.6) \{begin}{align} \label {eq:dV_rec} \Delta V(\ac {trec}) = \frac {\ac {dVmax}}{2} \, \textrm {erfc} \left ( \frac {\ac {kb}T\ln (\frac {\ac
{trec}}{\ac {tau0}})-\mu }{\sqrt {2}\sigma } \right ) \{end}{align}

with the recovery time (math image). Note that the parameters of the normal distribution of the activation energies, \( \mu   \) and \( \sigma \), for capture and emission processes do not necessarily correlate [46]. As can be seen from (1.4) and (1.6), the time evolution of (math image) scales with the logarithm of the stress or recovery time, resulting in a fundamental dependence of the measurement timing on the extracted (math image). The strong dependence on the timing parameters of the (math image) measurement will be one of the main topics in Section 3.3.

1.2.2 Hydrogen related defects and the hydrogen release model

Out of all the microscopic defect candidates [49, 50, 53, 54], the interaction of hydrogen with defects or precursors throughout the SiO2 is able to explain many features of the observed experimental behavior during and after an applied gate stress pulse [48, 58] for semiconductor technology based on a SiO2 dielectric. In this section, a basic overview on hydrogen related defects in amorphous SiO2 and their link to bias temperature instability is provided. Most of the information is extracted from the doctoral dissertation of Wimmer [58], where much more detailed information on hydrogen related defects is given.

Possible defect candidates

From the many possibilities of defect candidates in amorphous SiO2, which are able to explain a considerable amount of BTI features, the 3 most promising are sketched in Fig. 1.8 and described in the following:

Figure 1.8: Defect candidates in amorphous SiO2. Left: the oxygen vacancy VO. The VO is able to trap a hole, which converts the VO into the well-studied E’ center. Middle: the hydrogen bridge. The defect is similar to the VO with a hydrogen atom bound to one of the Si atoms. Right: the hydroxyl E’ center. Here a hydrogen atom interacts with one of the bridging oxygen atoms by breaking one of the Si-O bonds, which requires a strained Si-O bond [58].

Hydrogen release model

Out of all atomistic models which have been proposed to explain the outcome of charge capture and emission measurements, the hydrogen release model is one of the most promising. This is mainly due to the fact, that the hydrogen release model is able to explain the recoverable as well as the permanent component, which contribute to the device degradation during BTI [64–68]. Furthermore, the hydrogen release model provides a potential explanation for the accumulation of fixed positive charges at the SiC-SiO2 interface which occurs during high-temperature processing steps, as will be discussed in Chapter 4.

Figure 1.9: Gate-sided H-release model [69]. A trapped proton in the oxide layer close to the gate (A, left, red) may become neutralized if the energetic position of the trapped proton is shifted below the Fermi-level (B). The neutrally charged H atom can now be released by overcoming an energy barrier of approximately 1.5 eV (C). Subsequently, the neutrally charged, free H atom moves towards the SiC/SiO2 interface, where it occupies a new trapping site (D).

The hydrogen release model tries to link the permanent component, which arises during long-term gate stress, with the release of additional H from the gate into the oxide. A schematic overview of one of the possible mechanisms, which lead to an increase of the permanent component according to the H-release model is sketched in Fig. 1.9 [69]. First, a trapped proton in the oxide layer close to the gate electrode (A) may become neutralized if a gate potential is applied and the Fermi-level moves below the energy level of the trapped \( \text {\ac {H}}^+ \) (B). The neutrally charged hydrogen can now be released from the trapping site by overcoming an energy barrier of approximately 1.5 eV (C). Afterwards, the released hydrogen diffuses through the oxide until it is able to occupy a new trapping site (D). It is important to note that potential trapping sites for the H are available all over the oxide due to the amorphous nature of SiO2.

1.2.3 Hydrogen hopping

Figure 1.10: Hopping mechanism for the case of a positively charged hydrogen \( \text {\ac {H}}^+ \). Oxygen atoms are indicated in red, whereas silicon atoms are indi- cated in yellow. The hydrogen atom (grey) moves from one bridging O (initial configuration, left) to a neighboring bridging O atom (final configuration, right). \( \text {\ac {H}}^+ \) can stick to nearly all oxygen atoms, whereas the neutrally charged hydrogen, \( \text {\ac {H}}^0 \), can only bind to approximately 60 % of bridging O atoms in the SiO2. The transition barrier for the hopping mechanism of the positive \( \text {\ac {H}}^+ \) and neutral \( \text {\ac {H}}^0 \) charge state is approximately 1.5 eV [48].

Although the high diffusivity of hydrogen in SiO2 allows for a very fast exchange of H to a new trapping site and should therefore not limit the rate [70], there are very low barriers for the interstitial neutral H to bind at approximately every third O atom (\( < \SI {0.1}{\eV } \)). Therefore, neutral hydrogen would not be able to move efficiently in the SiO2 system. However, the transport of hydrogen (either in the neutral \( \text {\ac {H}}^0 \) or the positive \( \text {\ac {H}}^+ \) charge state) is still possible via a so-called hydrogen hopping mechanism, meaning the hydrogen moves from one bridging O atom to the next bridging O atom. A sketch of the hopping mechanism for the case of a positively charged hydrogen atom (proton) is given in Fig. 1.10. The positive charged H atom can stick to nearly all bridging oxygen atoms in the system, whereas the neutrally charged hydrogen can only bind to approximately 60 % of the bridging O atoms. However, the activation energies for both transitions are similar and around 1.5 eV. Due to this, it is not clear which charge state would dominate the transport mechanism [58].

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