Effect of NO annealing on charge traps in oxide insulator and transition layer for 4H-SiC metal–oxide–semiconductor devices
Jia Yifan1, Lv Hongliang1, †, , Niu Yingxi2, Li Ling2, Song Qingwen1, 3, Tang Xiaoyan1, ‡, , Li Chengzhan4, Zhao Yanli4, Xiao Li5, Wang Liangyong5, Tang Guangming5, Zhang Yimen1, Zhang Yuming1
School of Microelectronics, Xidian University, Key Laboratory of Wide Band Gap Semiconductor Materials and Devices, Xi'an 710071, China
Global Energy Interconnection Research Institute, Beijing 102209, China
School of Advanced Materials and Nanotechnology, Xidian University, Xi'an 710071, China
Zhuzhou CRRC Times Electric Company Limited, Zhuzhou 412001, China
Zhongxing Telecommunication Equipment Corporation, Shenzhen 518057, China

 

† Corresponding author. E-mail: hllv@mail.xidian.edu.cn

‡ Corresponding author. E-mail: xytang@xidian.edu.cn

Project supported by the National Natural Science Foundation of China (Grant Nos. 61404098 and 61274079), the Doctoral Fund of Ministry of Education of China (Grant No. 20130203120017), the National Key Basic Research Program of China (Grant No. 2015CB759600), the National Grid Science & Technology Project, China (Grant No. SGRI-WD-71-14-018), and the Key Specific Project in the National Science & Technology Program, China (Grant Nos. 2013ZX02305002-002 and 2015CB759600).

Abstract
Abstract

The effect of nitric oxide (NO) annealing on charge traps in the oxide insulator and transition layer in n-type 4H–SiC metal–oxide–semiconductor (MOS) devices has been investigated using the time-dependent bias stress (TDBS), capacitance–voltage (CV), and secondary ion mass spectroscopy (SIMS). It is revealed that two main categories of charge traps, near interface oxide traps (Nniot) and oxide traps (Not), have different responses to the TDBS and CV characteristics in NO-annealed and Ar-annealed samples. The Nniot are mainly responsible for the hysteresis occurring in the bidirectional CV characteristics, which are very close to the semiconductor interface and can readily exchange charges with the inner semiconductor. However, Not is mainly responsible for the TDBS induced CV shifts. Electrons tunneling into the Not are hardly released quickly when suffering TDBS, resulting in the problem of the threshold voltage stability. Compared with the Ar-annealed sample, Nniot can be significantly suppressed by the NO annealing, but there is little improvement of Not. SIMS results demonstrate that the Nniot are distributed within the transition layer, which correlated with the existence of the excess silicon. During the NO annealing process, the excess Si atoms incorporate into nitrogen in the transition layer, allowing better relaxation of the interface strain and effectively reducing the width of the transition layer and the density of Nniot.

1. Introduction

Silicon carbide (SiC) metal–oxide–semiconductor field-effect transistors (MOSFETs) are expected to replace Si-based MOSFETs for high-temperature and high-power applications, owing to its superior material properties such as high critical breakdown electric field strength, high electron saturation velocity, and high thermal conductivity. Besides its super desirable properties, stable silicon dioxide (SiO2) insulator on silicon carbide can be formed by conventional thermal oxidation, which makes the SiC device fabrication process easier compared with other wide band gap semiconductors. In the light of these advances, SiC MOSFETs are poised to become the main power control switch over pre-existing Si-based devices, offering substantial advantages in applications where high power, temperature, and frequency are required.[16]

In recent years, SiC MOSFETs have become commercially available. However, their performance is still far from theoretical limits. Typically, former researchers have attributed the low channel mobility to the large density of interface traps (Nit) located at the SiO2/4H–SiC interface.[7,8] Many attempts were applied to reduce the density of Nit and improve the channel mobility, but it is still much lower than the bulk mobility of SiC material.[911] Thus, many recent studies have focused on the charge traps in the SiO2 insulator, in which some results on the instability of the threshold voltage have provided evidence for the existence of charge traps in the insulator of 4H–SiC MOS devices.[1214] Moreover, recent works have shown that charge traps near the interface can exchange charge with the semiconductor readily, which may significantly affect the performance and the reliability of SiC MOS devices.[15,16] However, previous research on this issue has almost ignored the distinction between near interface oxide traps (Nniot) and oxide trap (Not). A more serious problem is that the distribution of these charge traps in the SiO2 insulator is not very clear, especially the region where the Nniot exist. Meanwhile, a better understanding of the mechanism is required to account for the property of these charge traps in the SiO2 insulator.

It has been confirmed that n-channel MOSFET operated in strong inversion (in a positive gate bias) can be equivalent to an n-type MOS capacitor in the accumulation state, in terms of the possible interaction between the surface electrons and the charge traps at and near the SiO2/SiC insulator interface. Therefore, it is possible to utilize an n-type MOS capacitor to characterize the SiO2/SiC interfacial properties, instead of a complete n-channel MOSFET.

In this paper, time-dependent positive bias stress measurements are applied on n-type 4H–SiC MOS capacitors annealed in Ar and NO ambiences. The bidirectional high-frequency capacitance–voltage measurements are performed to investigate the influence of bias stress time on these charge traps. The hysteresis of the bidirectional CV and the shift of flat band voltage (Vfb) after different bias stress time are used to evaluate the densities of Nniot and Not. Moreover, secondary ion mass spectroscopy (SIMS) is applied to investigate the components in the NO- and Ar-annealed samples, so as to indicate the region of the Nniot and the improvement of the traps for NO annealing.

2. Experimental methods

Silicon faced 4° off-axis n-type 4H–SiC wafer purchased from Epi World International Co., LTD., with an epitaxial layer thickness of 13.28 μm and nitrogen-doped concentration of 7.79 × 1015 cm− 3, was used in this experiment. Following the RCA cleaning, an HF dip, water rinsing, and thermal oxidation were carried out in a dry O2 environment at a temperature of 1300 °C. Afterwards, the samples were annealed in Ar and NO ambiences, respectively. Post-oxidation-annealing (POA) for all of the samples was performed under the condition of 1175 °C for 2 h. The oxide thicknesses (dox) determined by ellipsometry were 49 nm and 51 nm for the POA samples with Ar and NO ambiences, respectively. After SIMS measurements for the annealed samples, Ni was evaporated for the backside ohmic contact and Al was sputtered on the oxidized surface to form the gate electrode.

The samples in this study were bias-stressed and measured using an Agilent B1505A semiconductor parameter analyzer. The properties of SiO2/4H–SiC interfaces on n-type MOS capacitors were examined by the measurements of bidirectional capacitance–voltage (CV). Then, time-dependent positive bias stress measurements were applied on the samples, and the bidirectional CV curves were again measured after different bias stress time, in which the measurements were implemented at room temperature and the samples were applied by bias stresses of about 3 MV/cm for different stress time in the range of 300–5000 s, followed by the bidirectional capacitance–voltage measurements with each sweeping time of 60 s. The setting parameter of CV measurement has been adjusted to ensure the consistency in the entire measurement procedure. The schematic diagram indicating the TDBS measurements is shown in Fig. 1.

Fig. 1. Bias stress and measurement sequence for the TDBS measurements.

The densities of Nniot and Not were evaluated by the hysteresis of bidirectional CV and the shift of flatband voltage after different bias stress time shown as[14]

where S is capacitance area, Cox is the oxide capacitance, q is the electronic charge, Vfb−up is the flatband voltage of the clockwise CV curve, Vfb−down is the flatband voltage of the counter-clockwise CV curve, and ΔVfb is the shift of Vfb−up after different bias stress time compared with the first measured results. The flat-band voltage (Vfb) was estimated from the ideal flatband capacitance (Cfb).

3. Results and discussion

The first measured bidirectional capacitance–voltage results for the samples without TDBS are shown in Fig. 2, with sweeping the gate voltage in clockwise and counter-clockwise at the frequency of 10 kHz at 300 K, in which CV data are normalized by the oxide capacitances (Cox) in the accumulation region.

Fig. 2. Bidirectional capacitance–voltage characteristics of the samples annealed in Ar and NO ambiences at 10 kHz for the first measurement, in which the arrows indicate the voltage sweep directions.

In Fig. 2, the Ar-annealed sample shows a poor interface quality as identified from the stretch out shape of the CV curves, possibly due to the carbon-related defects as discussed in the literature.[7] Besides, it is worth noting that the large hysteresis of bidirectional CV is clearly observed in the curves, especially in the Ar-annealed samples. It is suggested that electrons, majority carriers of n-type SiC substrate, are injected into the charge traps during the clockwise CV measurement.

The bidirectional CV results measured at 10 kHz for the samples annealed with NO and Ar are shown in Figs. 3(a) and 3(b) when TDBS is applied. It is clear that the positive shift of Vfb−up shows an increasing trend each stress time. It is considered that more electrons are injected into the charge traps during the high bias stress, and most of the charge traps hardly release electrons back into the semiconductor quickly, still keeping their filling state during the subsequent measurements. The charge traps named oxide traps (Not) versus bias stress time calculated by Eq. (2) are shown in Fig. 3(c). Moreover, the hysteresis of bidirectional capacitance–voltage was also observed after TDBS, as shown in the inset of Figs. 3(a) and 3(b). The phenomena can be attributed to electrons emptying and filling some charge traps in response to the direct-current (DC) gate bias during the time scale of the bidirectional CV measurements. Figure 3(d) shows Nniot versus bias stress time, which was calculated according to Eq. (1).

Fig. 3. Bidirectional CV curves obtained from the samples with (a) NO and (b) Ar annealing after TDBS, and the densities of (c) Not and (d) Nniot versus bias-stress time.

From Fig. 3(c), it is clearly seen that the density of Not for the sample annealed in Ar is 1.3 to 1.5 times larger than the sample annealed in NO. Since the observed Not increases linearly in logarithmic coordinate of the bias stress time, it is suggested that electrons are tunneled into the oxide traps located in an extended distance from the semiconductor interface.[1214] During bias stress, the Not captures the electrons incessantly, which are difficult to release. It is suggested that this kind of charge trap would seriously affect the threshold voltage stability of 4H–SiC MOSFET devices.

In Fig. 3(d), the values of Nniot extracted from the first measured bidirectional CV curves, without suffering from TDBS (bias-stress time = 0), are larger than that suffering from TDBS, which can be explained through the four times repeated and uninterrupted bidirectional CV measurement without suffering from TDBS, as shown in Fig. 4. The positive DC gate bias during the bidirectional CV measurements can be regarded as a short time bias stress, which can make electrons inject into the charge traps. In Fig. 4(c), it is clear that the density of Nniot is decreased and the density of Not is increased with rising the measurement times. Thus, it is implied that in the first CV measurement, electrons are injected into the charge traps, which include not only Nniot but also a part of Not. However, the remaining stable Nniot are very close to the semiconductor interface after the high bias stress, so that they can capture channel electrons to reduce the number of free carriers and the trapped charge centers also increase coulombic scattering to lower the actual channel mobility when the 4H–SiC MOSFET devices are biased into strong inversion. As can be seen from Fig. 3(d) clearly, the density of stable Nniot for the annealed samples in Ar is 5 to 6 times larger than that of as-prepared samples. Taking the large reduction of Nniot into account, it may be reasonable to explain the observed interface state reduced by a factor of 4 to 5, which can induce a 10 to 15 fold increase in electron mobility.[17]

Fig. 4. Bidirectional CV curves of the samples annealed in (a) NO and (b) Ar ambiences for the four times repeated and uninterrupted measurement without suffering from TDBS. (c) The densities of Nniot and Not versus measurement sequence.

Based on the distinction between Nniot and Not mentioned above, it is noticed that these charge traps are in different distances from the semiconductor interface, resulting in different response times. Moreover, the POA in NO gas produces a different improvement for Nniot and Not, since the NO annealing shows a significant effect on Nniot but little improvement on Not compared with the Ar-annealed sample, which means that the mechanism to form charge traps is also different.

Next, in order to investigate the region of the Nniot and discuss the difference of Nniot and Not for these samples, SIMS was performed to investigate the components of the NO and Ar annealed samples, as shown in Fig. 5.

Fig. 5. SIMS profiles for the (a) NO and (b) Ar annealed samples. Transition layer width extracted from O/Si and C/Si composition ratio curves and the excess Si relative content with (c) NO and (d) Ar annealing versus oxide thickness.

It is clearly seen that POA in NO ambience makes a Gaussian-like profile of nitrogen near the interface, which coincides with that reported in Ref. [18]. However, no nitrogen is observed above the detection limit near the interface in the Ar-annealed sample. In both samples, it is found that the relative contents of Si, O, and C change slowly near the interface, indicating that there is a transition layer at the interface. The transition layer width (WTL) extracted from the SIMS profile is about 6.65 nm and 8.45 nm for the samples annealed with NO and Ar, respectively, which is defined as the region between the pure SiO2 and SiC, as shown in Figs. 5(c) and 5(d). It is also worth noting that Si is accumulated near the interface and a small accumulation peak is formed. In Figs. 5(a) and 5(b), the silicon relative content in the accumulation peak is even more than that in the SiC epi-layer. Thus, the relative content of excess Si is obtained by the content of silicon minus the content of carbon and half of oxygen. Clearly, a Gaussian-like accumulation within the transition layer is caused by the excess Si as shown in both Figs. 5(c) and 5(d). It is inferred that some unreacted silicon atoms are accumulated in the transition layer, which stems from the excess Si atoms diffusion driven by the internal stress resulted from the lattice mismatch between SiO2 and SiC at the interface. However, in the transitional region, the “SiOx” is not stoichiometric SiO2, and the excess Si atoms may exist in the form of the strained Si–Si bonds or Si interstitials,[19,20] which are associated with the Nniot. Thus, it can be seen that Nniot are distributed within the transition layer, which is very close to the semiconductor interface. As shown in Fig. 5(c), the Gaussian-like accumulation of N and excess Si atoms are aligned in the transition layer. Therefore, NO annealing causes some of the excess Si atoms to incorporate into the nitrogen to change the strained Si–Si bonds with a strong Si≡N bond, allowing better relaxation of the interface strain and reducing the width of transition layer and the density of Nniot. As the former work reported, the relatively thick gate oxide thickness leads to more serious threshold instability.[14] Thus, the Not is distributed in the entire SiO2 insulator, which may be related to the carbon-related residua in the insulator.[21] It is thought that the NO annealing induces a slow re-oxidation process to consume the carbon related residua in the SiO2 insulator and leads to the reduction of the density of Not.

4. Conclusion

In conclusion, the hysteresis of bidirectional CV and the shift of flatband voltage after TDBS show Nniot and Not, existing in the oxide insulator and transition layer for 4H–SiC MOS devices. The Nniot are distributed within the transition layer between the pure SiO2 and SiC, which correlated with the existence of the excess silicon. Thus, the Nniot are very close to the semiconductor interface and can readily exchange charge with the inner semiconductor, so that these traps may significantly affect the channel mobility of the SiC MOS device. However, the Not is distributed in the entire oxide insulator and may be related to the carbon related residua in the insulator. The charges trapped in the Not need a long time to be released, which will affect the stability of threshold voltage. Compared with the Ar-annealed sample, it is found that only Nniot can be significantly suppressed by the NO annealing, but little improvement of Not. The results from SIMS have demonstrated that the excess Si incorporates into nitrogen in the transition layer during the NO annealing process, allowing better relaxation of the interface strain and effectively reducing the width of the transition layer and the density of Nniot. As for the Not, the carbon-related residua can be consumed by the slow re-oxidation process in NO annealing. Two different charge traps existing in the oxide insulator and transition layer will cause different impacts on the performance of devices. Therefore, it is important to reduce all types of charge traps to enhance the performance and reliability of SiC MOSFETs.

Reference
1Harris G L1995Properties of Silicon CarbideLondonInspec
2Friedrichs PBurte E PSchorner R 1994 Appl. Phys. Lett. 65 1665
3Cooper J AAgarwal A 2002 Proc. IEEE 90 956
4Baliga B J2006Silicon Carbide Power DevicesSingaporeWorld Scientific
5Kimoto TCooper J A2014Fundamentals of Silicon Carbide TechnologySingaporeWiley
6Kimoto T 2015 Jpn. J. Appl. Phys. 54 4
7Afanasév V VBassler MPensl GSchulz M 1997 Phys. Status Solidi 162 321
8Saks N SAgarwal A K 2000 Appl. Phys. Lett. 77 3281
9Chung G YTin C CWilliams J RMcdonald KChanana R KWeller R APantelides S TFeldman L CHolland O WDas M KPalmour J W 2001 IEEE Electron Device Lett. 22 176
10Gudjonsson GOlafsson H OAllerstam FNilsson P ASveinbjornsson E OZirath HRodle TJos R 2005 IEEE Electron Device Lett. 26 96
11Okamoto DYano HHirata KHatayama TFuyuki T 2010 IEEE Electron Device Lett. 31 710
12Lelis AHabersat DOlaniran FSimons BMcGarrity JMcLean F BGoldsman N 2006 Mater. Res. Soc. Symp. Proc. 911 13
13LelisA JHabersat DLopez GMcGarrity J MMcLean F BGoldsman N 2006 Mater. Sci. Forum 527�?29 1317
14Lelis A JHabersat DGreen ROgunniyi AGurfinkel MSuehle JGoldsman N 2008 IEEE Trans. Electron Devices 55 1835
15Haasmann DDimitrijev S 2013 Appl. Phys. Lett. 103 113506
16Moghadam H ADimitrijev SHan JHaasmann D 2015 IEEE Trans. Electron Devices 62 2670
17Afanasév V VStesmans ACiobanu FPensl GCheong K YDimitrijev S 2003 Appl. Phys. Lett. 82 568
18Taillon J AYang J HAhyi C ARozen JWilliams J RFeldman L CTsvetanka S ZAivars J LLourdes G S 2013 J. Appl. Phys. 113 044517
19Pensl GBeljakowa SFrank TGao KSpeck FSeyller TLey LCiobanu FAfanasév V VStesmans AKimoto TSchöner A 2008 Phys. Status Solidi 245 1378
20Knaup J MDeak PFrauenheim ThGali AHajnal ZChoyke W J 2005 Phys. Rev. 72 115323
21Kamiya KEbihara YChokawa KKato SShiraishi K2012Mater. Sci. Forum740–742409