Next Article in Journal
Comparison of Metrics for Shape Quality Evaluation of Textures Produced by Laser Structuring by Remelting (Waveshape)
Next Article in Special Issue
Impact of the Semiconductor Defect Density on Solution-Processed Flexible Schottky Barrier Diodes
Previous Article in Journal
Path Planning Algorithm for Multi-Locomotion Robot Based on Multi-Objective Genetic Algorithm with Elitist Strategy
Previous Article in Special Issue
N-Type Nanosheet FETs without Ground Plane Region for Process Simplification
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Nitrogen-Doping Effect on Sub-Gap Density of States in a-IGZO TFTs by TCAD Simulation

1
College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
3
National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210093, China
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(4), 617; https://doi.org/10.3390/mi13040617
Submission received: 6 March 2022 / Revised: 8 April 2022 / Accepted: 12 April 2022 / Published: 14 April 2022
(This article belongs to the Special Issue Recent Advances in Thin Film Electronic Devices)

Abstract

:
In this work, the impact of nitrogen doping (N-doping) on the distribution of sub-gap states in amorphous InGaZnO (a-IGZO) thin-film transistors (TFTs) is qualitatively analyzed by technology computer-aided design (TCAD) simulation. According to the experimental characteristics, the numerical simulation results reveal that the interface trap states, bulk tail states, and deep-level sub-gap defect states originating from oxygen-vacancy- (Vo) related defects can be suppressed by an appropriate amount of N dopant. Correspondingly, the electrical properties and reliability of the a-IGZO TFTs are dramatically enhanced. In contrast, it is observed that the interfacial and deep-level sub-gap defects are increased when the a-IGZO TFT is doped with excess nitrogen, which results in the degeneration of the device’s performance and reliability. Moreover, it is found that tail-distributed acceptor-like N-related defects have been induced by excess N-doping, which is supported by the additional subthreshold slope degradation in the a-IGZO TFT.

1. Introduction

Currently, the backplane technology of amorphous InGaZnO (a-IGZO) thin-film transistors (TFTs) is attracting great attention for its use in pixel switching and driving units for next-generation display applications. The competitive advantage of a-IGZO TFT technology is that it can offer high current-driving capacity, high optical transparency, low power consumption and low process temperature compared with traditional Si-based TFTs [1,2,3]. Although a-IGZO TFT technology has made remarkable progress since it was first proposed by Nomura et al. in 2004, these devices still cannot achieve the desired performance and reliability due to high-density sub-gap states existing in the bandgap of a-IGZO [4,5]. It has been demonstrated that the sub-gap defects mainly originate from oxygen-vacancy-related (Vo-related) defects induced by the structural disorder in a-IGZO [5,6,7], which degrades the electrical properties and reliability of TFTs by trapping electrons or holes in the channel layer and interfacial region under bias, light, and thermal stress [8,9,10,11]. To enhance the device performance and reliability, an in-situ nitrogen-doping (N-doping) approach during the a-IGZO active layer deposition has been proposed to suppress Vo defect generation [12,13,14]. For example, it has been demonstrated that N-doping can significantly improve the reliability of a-IGZO TFTs under positive gate-bias stress (PBS) and PBS with light illumination, since the N incorporated into a-IGZO will occupy the Vo sites and suppress Vo-related defect generation [14,15]. Moreover, it has also been reported that the device performance and reliability are simultaneously enhanced by N and H co-doping, which is ascribed to the passivation of the Vo distributed at the active layer and interface region by forming N-–H and Zn–N bonds [16]. Although Vo-related defects can be efficiently passivated by N-doping, a fundamental physical understanding of the impact of N-doping on the distribution of sub-gap states in a-IGZO TFTs is lacking. Since the device performance and reliability basically depend upon the nature and density of sub-gap defect states [4,17], an in-depth systematic study of the impact of N-doping on the sub-gap density of states (DOS) in a-IGZO TFTs is the key to future process improvement and optimization.
In this work, the influence of N-doping on the sub-gap Vo-related defects in a-IGZO TFTs is qualitatively analyzed using technology computer-aided design (TCAD) simulation [18]. It is found that the density of the interface Vo trap states, bulk Vo-related tail states and deep-level Vo-related defect states of a-IGZO TFTs are significantly decreased by moderate N-doping, which is validated by the improvement in electrical properties and stability during PBS and sub-band illumination. In contrast, the DOS of a-IGZO TFT is increased when the a-IGZO TFTs are doped with excessive nitrogen atoms, which causes degeneration of the device performance and reliability. Meanwhile, it is confirmed that the tail-distributed acceptor-like N-related defects are formed by excessive N-doping, which leads to the degradation of subthreshold slope (SS) in a-IGZO TFT.

2. Experiments and Modeling Scheme

The a-IGZO TFT structure used for numerical simulation is shown in Figure 1a. The devices in this work were fabricated on n-type Si substrate. First, the gate insulator was composed of a 200 nm SiO2 thin film grown by plasma-enhanced chemical vapor deposition (PECVD) with a rate of ~50 nm/min at 350 °C. The 45-nm-thick a-IGZO thin films were then deposited by direct-current (DC) sputtering system with a various gas mixture of N2/(O2 + N2) = 0%, 20%, and 40% at a fixed Ar flow rate of 30 sccm. The composition of the ceramic target used was In:Ga:Zn = 2:2:1 in atomic ratio. Subsequently, the device active region was patterned by conventional photolithography and wet chemical etching. Next, the Ti/Au (30/70 nm) bi-layer drain/source contact electrodes were evaporated by e-beam evaporation, and is the active region was further patterned using lift-off technique, which resulted in the final device dimensions of W/L = 100 μm/20 μm. Finally, a 100-nm-thick SiO2 passivation layer was deposited by PECVD. The fabricated devices were annealed in ambient air for 1 h at 300 °C.
In the Silvaco TCAD Simulation tool, ATLAS, a physics-based device simulator, is used to perform the electrical characterization, which can reduce the cost and time needed for experimentation [19]. It is also a powerful tool to predict the electrical behavior of specified semiconductor structures by using the Poisson and the continuity equations, which describe the electronic phenomena and electrical transport mechanism [19]. Based on the DOSs model of the a-IGZO TFTs, the types of the sub-gap states in the TFT channel region and interface region are illustrated in Figure 1b. In the a-IGZO material, the sub-gap states are mainly classified as acceptor-like and donor-like states, which can be depicted by Gaussian distribution states and exponentially decaying band-tail states. The specific mathematical model is expressed as follows [20,21,22]:
g T A ( E ) = N T A exp ( E E C W T A )
g T D ( E ) = N T D exp ( E V E W T D )
g G A ( E ) = N G A exp [ ( E G A E W G A ) 2 ]
g G D ( E ) = N G D exp [ ( E E G D W G D ) 2 ]
where the g T D ( E ) and g T A ( E ) denote the density of donor-like tail and acceptor-like tail states. The g G A ( E ) and g G D ( E ) represent the Gaussian-distributed acceptor-like and donor-like states. The N T A and N T D are the effective density at the conduction band minimum (EC) and valence band maximum (EV), respectively. The W T D and W T A are the characteristic slope energy of valence-band tail states and conduction-band tail states. The N G D and N G A are the total density of Gaussian donor and acceptor states, respectively. The E G A and E G D are the corresponding peak energy. W G A and W G D are the corresponding characteristic decay energy.
In addition, the interface trap density ( D i t ( E ) ) at the a-IGZO/dielectric interfacial region can be described as [23]:
D i t ( E ) = D i t A exp ( E E C W i t A ) + D i t D exp ( E V E W i t D )
where D i t D and D i t A represent the donor-like and acceptor-like interface trap density, respectively. The W i t A and W i t D denote the corresponding slope energy.

3. Results and Discussion

Figure 2 shows the simulated and experimental transfer characteristics of the a-IGZO TFTs under various N-doping conditions at VDS = 5 V. The simulation results, in consistency with the experimental data, were achieved by calibrating the DitA, NTA, NGA(Oi) and NGD(Vo+/Vo2+), and the simulation parameters are extracted and summarized in Table 1. The total trap density of the 20% N-doping ratio a-IGZO TFT was significantly decreased compared to the undoped a-IGZO TFT. For example, the DitA is decreased from 2.5 × 1013 eV−1 cm−2 to 8.0 × 1012 eV−1 cm−2, and the NTA was reduced from 8.0 × 1019 eV−1 cm−3 to 1.0 × 1019 eV−1 cm−3. Correspondingly, the subthreshold slope (SS) was decreased from 0.8 V/dec to 0.6 V/dec, and the threshold voltage (Vth) was reduced from 5.0 V to 3.8 V. It has been demonstrated that the interface states and bulk traps in a-IGZO TFTs mainly originate from Vo-related defects [5,15,24]. Therefore, the simulation results confirm that the improved electrical properties of a-IGZO TFTs can be ascribed to the suppression of the generation of Vo-related defects in the device channel and interface region by N-doping. In contrast, when the N-doping ratio was increased to 40%, the number of total trap states was increased compared to the 20% N-doping ratio TFT, as shown in Table 1. Meanwhile, it was observed that the SS and Vth of the 40% N-doping ratio device were increased to 0.9 V/dec and 7 V, respectively, which indicates that Vo-related defects generate when the device is subjected to excessive N-doping. This result can be explained by the fact that the formation of N–Ga bonds is facilitated by heavy N-doping, which then suppresses the bonding of Ga–O in the a-IGZO thin films [14,25].
In addition, based on the simulation results, it was found that although the sub-gap DOS (NTA, NTD, NGD(Vo-related), NGA(Oi), and NGD(Vo+/Vo2+)) existing in the 40% N-doping ratio TFT was significantly higher than that of the 20% N-doping ratio TFT, the sub-gap DOS other than NTA was lower than that of the undoped TFT. Because the sub-band-gap density in a-IGZO film mainly originates from Vo-related defects, the amount of Vo in annealed a-IGZO thin films with various N-doping ratios was analyzed by X-ray photoelectron spectroscopy (XPS). Figure 3a–c show the O 1 s XPS spectra of the a-IGZO films grown using different N-doped ratios. The binding energies were calibrated by taking the C 1s as reference at 284.6 eV. Gaussian fitting was applied to decompose the combined O 1s peak. The sub-peaks centered at binding energies of 529.7 eV, 530.5 eV, and 531.5 eV were attributed to O2− ions surrounded by metal atoms (In, Ga and Zn), oxygen vacancies (Vo), and OH impurities, respectively [26,27,28]. The relative level of Vo in a-IGZO film can be estimated by the proportion of peak area Vo to the whole O 1s (Owhole). It was found that the area proportion of Vo/Owhole was decreased from 35% for N-free a-IGZO film to 25% for a-IGZO film with the 20% N-doped ratio, as shown in Figure 3a,b, indicating that Vo decreases when the N is incorporated into the a-IGZO film. However, as shown in Figure 3c, it was found that the Vo increased to 31% for the a-IGZO film deposited with the 40% N-doped ratio, which means that the additional Vo was created when excess N atoms were doped into the a-IGZO film. Furthermore, the N 1s spectra XPS of the annealed a-IGZO film with 20% N-doped ratio was also analyzed, as shown in Figure 3d. The N 1 s spectrum is decomposed into two peaks at 395.7 and 397.3 eV, which are associated with the Ga Auger and N-Ga bonding [29], respectively. Therefore, the XPS results reveal that moderate N doping in a-IGZO film can suppress the generation of Vo, and excess N incorporation into a-IGZO film leads to an increase in Vo. Because the Vo existing in the 40% N-doping ratio a-IGZO film was lower than that of undoped a-IGZO film, the increased NTA in 40% N-doping ratio a-IGZO TFT should be the result of the generation of N-related defects by excess N-doping [16,30], which agrees well with the increased SS from 0.8 V/dec to 0.9 V/dec compared to undoped a-IGZO TFT. Meanwhile, to quantitatively estimate the N concentration in the a-IGZO active layer, the actual level of N-doping in annealed a-IGZO films is characterized by secondary ion mass spectrometry (SIMS) measurement [31,32,33]. Figure 4 shows the depth profile of N concentration in the a-IGZO film deposited with the 20% and 40% N-doped ratios. N is clearly detectable, and there is a considerable amount of incorporated nitrogen (~1020 cm−3) in the a-IGZO film. It has been reported that the value of the sub-gap density of states (DOSs) near the VBMs is about 5–9 × 10 20 cm−3 in a-IGZO film [5,34]. In this work, it is found that when the concentration of N doping in the channel region of a-IGZO TFT with a 20% N doping ratio is ~1.0 × 1020 cm−3, the electrical performance and stability of the device are dramatically improved. But when the concentration of N-doping in the channel region of a-IGZO TFT with a 40% N doping ratio is increased to ~1.2 × 1020 cm−3, the electrical performance and stability of a-IGZO TFT are degraded.
According to the distribution of the sub-gap DOS fitted in a-IGZO TFTs with various N-doping ratios, a comprehensive quantitative study on the device stability under positive bias stress (PBS) was carried out. During the PBS process, the TFTs were applied at a VGS of 15 V for the stress duration of 5000 s. Figure 5a–c show the experimental and simulated evolution of transfer characteristics as a function of PBS time for the a-IGZO TFTs with different N-doping ratios. It was found that the shift in threshold voltage (∆Vth) induced by PBS was 2.06 V, 0.8 V, and 1.68 V for undoped a-IGZO TFT, 20% N-doping a-IGZO TFT, and 40% N-doping a-IGZO TFT, respectively. It has been reported that the shift in Vth (∆Vth) of a-IGZO TFTs under PBS basically originates from the interfacial Vo-related defects trapping electrons at the device interfacial region [35,36]. In the simulation results, it was clearly seen that the Dit(E) for the 20% N-doping ratio a-IGZO TFT was lower than of the undoped a-IGZO TFT and 40% N-doping ratio a-IGZO TFT. For example, the DitA for undoped a-IGZO TFT, 20% N-doped a-IGZO TFT, and 40% N-doped a-IGZO TFT is 2.5 × 1013 eV−1 cm−2, 8.0 × 1012 eV−1 cm−2, and 1.5 × 1013 eV−1 cm−2, respectively, suggesting that interfacial Vo-related defects can be suppressed by moderate N-doping.
In addition, it has been reported that weak oxygen ions originating from structural disorder in a-IGZO TFTs cause ∆Vth under PBS [37]. During the PBS process, the weak oxygen ions are ionized to generate oxygen interstitials (Oi) because of their low formation energies [4,38,39]. Meanwhile, according to the first-principle studies, the generated Oi during PBS forms an octahedral configuration [Oi(oct)] and is electrically active. Correspondingly, the introduced Oi(oct)-related defect states are distributed above the mid-gap (Ei) in the a-IGZO TFTs [40]. When the Fermi level moves up under PBS, the Oi(oct)-related states are filled by trapping electrons and thus negatively charged to generate Oi2−oct) [41]. Figure 6a–c show the forming process of Oi2−(oct)-related charged states in a-IGZO TFTs undergoing PBS. Because of the structural relaxation effect, the Oi2−(oct)-related charged states are transformed into deep-level negative-U states, which are located below the mid-gap in the a-IGZO TFTs [37,42]. As a result, although new Oi2−(oct)-related charged states are generated under the PBS process, the SS of a-IGZO TFTs has no apparent change due to the negative-U property of the Oi2−(oct) states.
According to the simulation results, NGA(Oi) exhibited an increasing trend for a-IGZO TFTs with various N-doping ratios under the PBS process, as shown in Table 2. For example, the NGA(Oi) in the N-free a-IGZO TFT continuously increased from 2.6 × 1017 eV−1 cm−3 to 3.6 × 1017 eV−1 cm−3 after 5000 s PBS. This result shows that the Oi(oct)-related defects were generated in the a-IGZO TFT upon PBS, originating from weak oxygen ions in the device channel region. Compared to the undoped a-IGZO TFT, the generated Oi(oct)-related trap states under PBS in the 20% N-doping ratio a-IGZO TFT decreased from 3.6 × 1017 eV−1 cm−3 to 2.5 × 1017 eV−1 cm−3 after 5000 s PBS, due to the suppression of Vo-related traps by N-doping. Correspondingly, the device had superior electrical reliability under PBS. In contrast, the generated Oi(oct)-related trap states under PBS in the 40% N-doping ratio a-IGZO TFT (3.2 × 1017 eV−1 cm−3) were higher than that of the 20% N-doping ratio a-IGZO TFT, due to the Vo-related traps generated by heavy N-doping, resulting in device-stability degeneration under PBS.
Finally, to reveal the impact of N-doping on the distributions of deep-level sub-gap states, the transfer characteristics of a-IGZO TFTs with various N-doping conditions under sub-band-gap light illumination were simulated. The simulation results are shown in Figure 7a–c, and the simulation parameters are extracted in Table 3. It was found that the I-V curves of the undoped a-IGZO TFT exhibited an overall shift in a negative direction with the decrease in incident light wavelength from 650 nm to 500 nm, as shown in Figure 7a. The negative ΔVth is attributable to the photorelease of occupied electrons in the interface states and deep-level sub-gap states. It has been demonstrated that the deep-level defects in a-IGZO mainly originate from neutral Vo, which would be entirely occupied above EV with an energy width of ~1.5 eV [5,24,43]. As a result, the occupied interfacial and deep-level Vo-related defects would be ionized into Vo+/Vo2+ under the corresponding photon energy illumination, which agrees well with the simulation result that the NGD(Vo+/Vo2+) exhibits continuously increase as the illumination wavelength decreases [44,45], as shown in Table 3. It is clear that the NGD(Vo+/Vo2+) of the undoping a-IGZO TFT is increased from 1.5 × 1017 eV−1 cm−3 to 3.0 × 1017 eV−1 cm−3 with the decrease of incident light wavelength from 650 nm to 500 nm. In addition, based on the first-principle calculation and experimental observation, the activation energy (Ea) of the photoexcited ionization process from occupied deep-level Vo to Vo+ and Vo2+ is required to be ~2.0 eV and ~2.3 eV, respectively [37,45]. Meanwhile, these photo-induced transitions (both Vo to Vo+ and Vo to Vo2+) could cause the outward relaxation in the vicinity of metal atoms, which lead to the generation of new defect level near the Ei and Ec edge [24,45]. The formation process of Vo+ and Vo2+ states induced by sub-band-gap illumination is illustrated in Figure 8. In the simulation, it is observed that the generated NGA(Vo+-related) near the mid-gap is 9.0 × 1016 eV−1 cm−3 at λ = 600 nm (~2.0 eV), and the generated NGD(Vo2+-related) near bottom of the conduction band is 1.2 × 1017 eV−1 cm−3 at λ = 500 nm (~2.3 eV). It has been reported that the variation of SS (∆SS) is in connection with the amount of created trap states (∆Nt) in the TFTs channel and interface region, which is expressed by using the following equation [45]:
Δ S S = Δ N t ln ( 10 ) k T C i
where k is the Boltzmann’s constant, T is the absolute temperature, Ci is the capacitance of the gate dielectric. Therefore, the SS degradation for the undoping a-IGZO TFT induced by incident illumination of λ ≤ 600 nm is caused by the new defects creation near the Ei and Ec edge.
Comparatively, it is found that the density of deep-level Vo-related traps is suppressed by moderate N-doping into the a-IGZO TFT. As shown in Table 3, the NGD(Vo-related) in the 20% N-doping ratio a-IGZO TFT is decreased from 8.0 × 1020 eV−1 cm−3 to 5.0 × 1020 eV−1 cm−3 compared with the undoping a-IGZO TFT, and the generated NGD(Vo2+-related) is reduced from 1.2 × 1017 eV−1 cm−3 to 7.0 × 1016 eV−1 cm−3 under λ= 500 nm. Correspondingly, the electrical stability of the 20% N-doping ratio a-IGZO TFT under light illumination is significantly improved. It is found that the ∆SS and ∆Vth in the 20% N-doping ratio a-IGZO TFTs (0.58 V/dec; −0.8 V) are lower than that of undoping a-IGZO TFT (1.95 V/dec; −1.6 V) at λ = 500 nm, as shown in Figure 7b. Therefore, it can be concluded that the improved device reliability under sub-band light illumination is owing to the passivation of Vo-related traps in the device channel region by moderate N-doping. However, the deep-level Vo-related defect in the 40% N-doping ratio a-IGZO TFT is increased to 6.5 × 1020 eV−1 cm−3 compared with the 20% N-doping ratio a-IGZO TFT, and the generated NGD(Vo2+-related) is increased to 9.0 × 1016 eV−1 cm−3 under λ = 500 nm. Meanwhile, the degradation of SS and Vth (1.5 V/dec; −1.3 V) are observed in the 40% N-doping ratio a-IGZO TFT. This result means that superfluous N-doping into the a-IGZO TFTs will result in the increase of deep-level Vo traps [25], which degrades the device stability under sub-band-gap illumination.

4. Conclusions

In this work, the fundamental physical understanding of the N-doping on DOS over the whole sub-band-gap range has been analyzed by Silvaco TCAD simulation. It is found that the improved electrical performances for the 20% N-doping ratio a-IGZO TFT are owing to the suppression of interface Vo trap states and bulk tail states (Vo-related) by N-doping. Meanwhile, the Oi and deep-level Vo-related traps are suppressed by an appropriate amount of N dopant, which causes the improvement of device stability during PBS and sub-band illumination processes by suppressing the formation of Oi and the photoexcited ionization from occupied deep-level Vo to Vo+ and Vo2+, respectively. In contrast, the excessive N-doping will cause the generation of acceptor-like N-related defects and the increase of Vo-related traps in the channel and interface region of a-IGZO TFTs, which leads to the degeneration of the device performance and reliability.

Author Contributions

Conceptualization, Z.Z., W.C. and X.H.; Writing—original draft, Z.Z.; Writing—review & editing, W.C., X.H., Z.S., D.Z. and W.X. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 61904086) and China Postdoctoral Science Foundation (Grant No. SBH19006).

Conflicts of Interest

The authors declare no conflict interest.

References

  1. Nomura, K.; Ohta, H.; Takagi, A.; Kamiya, T.; Hirano, M.; Hosono, H. Room-temperature fabrication of transparent flexible thin-film transistors using amorphous oxide semiconductors. Nature 2004, 432, 488–492. [Google Scholar] [CrossRef] [PubMed]
  2. Kamiya, T.; Hosono, H. Material characteristics and applications of transparent amorphous oxide semiconductors. NPG Asia Mater. 2010, 2, 15–22. [Google Scholar] [CrossRef] [Green Version]
  3. Yu, X.; Marks, T.J.; Facchetti, A. Metal oxides for optoelectronic applications. Nat. Mater. 2016, 15, 383–396. [Google Scholar] [CrossRef] [PubMed]
  4. Janotti, A.; Van de Walle, C.G. Native point defects in ZnO. Phys. Rev. B 2007, 76, 165202. [Google Scholar] [CrossRef]
  5. Nomura, K.; Kamiya, T.; Yanagi, H.; Ikenaga, E.; Yang, K.; Kobayashi, K.; Hirano, M.; Hosono, H. Subgap states in transparent amorphous oxide semiconductor, In–Ga–Zn–O, observed by bulk sensitive X-ray photoelectron spectroscopy. Appl. Phys. Lett. 2008, 92, 202117. [Google Scholar] [CrossRef]
  6. Yao, J.; Xu, N.; Deng, S.; Chen, J.; She, J.; Shieh, H.D.; Liu, P.T.; Huang, Y.P. Electrical and Photosensitive Characteristics of a-IGZO TFTs Related to Oxygen Vacancy. IEEE Trans. Electron Devices 2011, 58, 1121–1126. [Google Scholar]
  7. Fishchuk, I.I.; Kadashchuk, A.; Bhoolokam, A.; de Jamblinne de Meux, A.; Pourtois, G.; Gavrilyuk, M.M.; Köhler, A.; Bässler, H.; Heremans, P.; Genoe, J. Interplay between hopping and band transport in high-mobility disordered semiconductors at large carrier concentrations: The case of the amorphous oxide InGaZnO. Phys. Rev. B 2016, 93, 195204. [Google Scholar] [CrossRef] [Green Version]
  8. Xiao, X.; Zhang, L.; Shao, Y.; Zhou, X.; He, H.; Zhang, S. Room-Temperature-Processed Flexible Amorphous InGaZnO Thin Film Transistor. ACS Appl. Mater. Interfaces 2018, 10, 25850–25857. [Google Scholar] [CrossRef]
  9. Li, S.; Wang, M.; Zhang, D.; Wang, H.; Shan, Q. A Unified Degradation Model of a-InGaZnO TFTs Under Negative Gate Bias with or without an Illumination. IEEE J. Electron Devices Soc. 2019, 7, 1063–1071. [Google Scholar] [CrossRef]
  10. Huang, X.; Wu, C.; Lu, H.; Ren, F.; Xu, Q.; Ou, H.; Zhang, R.; Zheng, Y. Electrical instability of amorphous indium-gallium-zinc oxide thin film transistors under monochromatic light illumination. Appl. Phys. Lett. 2012, 100, 243505. [Google Scholar] [CrossRef] [Green Version]
  11. Dai, C.; Qi, G.; Qiao, H.; Wang, W.; Xiao, H.; Hu, Y.; Guo, L.; Dai, M.; Wang, P.; Webster, T.J. Modeling and Mechanism of Enhanced Performance of In-Ga-Zn-O Thin-Film Transistors with Nanometer Thicknesses under Temperature Stress. J. Phys. Chem. C 2020, 124, 22793–22798. [Google Scholar] [CrossRef]
  12. Eun Kim, C.; Yun, I. Effects of nitrogen doping on device characteristics of InSnO thin film transistor. Appl. Phys. Lett. 2012, 100, 013501. [Google Scholar] [CrossRef] [Green Version]
  13. Cheng, Y.C.; Chang, S.P.; Chen, I.C.; Tsai, Y.L.; Cheng, T.H.; Chang, S.J. Polycrystalline In–Ga–O Thin-Film Transistors Coupled with a Nitrogen Doping Technique for High-Performance UV Detectors. IEEE Trans. Electron Devices 2020, 67, 140–145. [Google Scholar] [CrossRef]
  14. Park, K.; Kim, J.; Sung, T.; Park, H.; Baeck, J.; Bae, J.; Park, K.; Yoon, S.; Kang, I.; Chung, K.; et al. Highly Reliable Amorphous In-Ga-Zn-O Thin-Film Transistors Through the Addition of Nitrogen Doping. IEEE Trans. Electron Devices 2019, 66, 457–463. [Google Scholar] [CrossRef]
  15. Liu, J.; Guo, J.; Yang, W.; Wang, C.; Yuan, B.; Liu, J.; Wu, Z.; Zhang, Q.; Liu, D.; Chen, H.; et al. Graded Channel Junctionless InGaZnO Thin-Film Transistors with Both High Transporting Properties and Good Bias Stress Stability. ACS Appl. Mater. Interfaces 2020, 12, 43950–43957. [Google Scholar] [CrossRef]
  16. Abliz, A.; Gao, Q.; Wan, D.; Liu, X.; Xu, L.; Liu, C.; Jiang, C.; Li, X.; Chen, H.; Guo, T.; et al. Effects of Nitrogen and Hydrogen Codoping on the Electrical Performance and Reliability of InGaZnO Thin-Film Transistors. ACS Appl. Mater. Interfaces 2017, 9, 10798–10804. [Google Scholar] [CrossRef]
  17. Kamiya, T.; Nomura, K.; Hosono, H. Present status of amorphous In-Ga-Zn-O thin-film transistors. Sci. Technol. Adv. Mater. 2010, 11, 044305. [Google Scholar] [CrossRef]
  18. SILVACO. Atlas User’s Manual: Device Simulation Software; SILVACO: Santa Clara, CA, USA, 2004. [Google Scholar]
  19. Adaika, M.; Meftah, A.; Sengouga, N.; Henini, M. Numerical simulation of bias and photo stress on indium–gallium–zinc-oxide thin film transistors. Vacuum 2015, 120, 59–67. [Google Scholar] [CrossRef]
  20. Li, G.; Abliz, A.; Xu, L.; André, N.; Liu, X.; Zeng, Y.; Flandre, D.; Liao, L. Understanding hydrogen and nitrogen doping on active defects in amorphous In-Ga-Zn-O thin film transistors. Appl. Phys. Lett. 2018, 112, 253504. [Google Scholar] [CrossRef] [Green Version]
  21. Kim, Y.; Kim, S.; Kim, W.; Bae, M.; Jeong, H.K.; Kong, D.; Choi, S.; Kim, D.M.; Kim, D.H. Amorphous InGaZnO Thin-Film Transistors—Part II: Modeling and Simulation of Negative Bias Illumination Stress-Induced Instability. IEEE Trans. Electron Devices 2012, 59, 2699–2706. [Google Scholar] [CrossRef]
  22. Billah, M.; Chowdhury, M.; Mativenga, M.; Um, J.; Mruthyunjaya, R.; Heiler, G.; Tredwell, T.; Jang, J. Analysis of Improved Performance Under Negative Bias Illumination Stress of Dual Gate Driving a- IGZO TFT by TCAD Simulation. IEEE Electron Device Lett. 2016, 37, 735–738. [Google Scholar] [CrossRef]
  23. Kim, Y.; Bae, M.; Kim, W.; Kong, D.; Jung, H.K.; Kim, H.; Choi, S.; Kim, D.M.; Kim, D.H. Amorphous InGaZnO Thin-Film Transistors—Part I: Complete Extraction of Density of States Over the Full Subband-Gap Energy Range. IEEE Trans. Electron Devices 2012, 59, 2689–2698. [Google Scholar] [CrossRef]
  24. Ryu, B.; Noh, H.; Choi, E.; Chang, K.J. O-vacancy as the origin of negative bias illumination stress instability in amorphous In–Ga–Zn–O thin film transistors. Appl. Phys. Lett. 2010, 97, 022108. [Google Scholar] [CrossRef] [Green Version]
  25. Liu, P.; Chang, C.; Fuh, C.; Liao, Y.; Sze, S.M. Effects of Nitrogen on Amorphous Nitrogenated InGaZnO (a-IGZO:N) Thin Film Transistors. J. Disp. Technol. 2016, 12, 1070–1077. [Google Scholar] [CrossRef]
  26. Lee, K.W.; Kim, K.M.; Heo, K.Y.; Park, S.K.; Lee, S.K.; Kim, H.J. Effects of UV light and carbon nanotube dopant on solution-based indium gallium zinc oxide thin-film transistors. Curr. Appl. Phys. 2011, 11, 280–285. [Google Scholar] [CrossRef]
  27. Yang, S.; Hwan Ji, K.; Ki Kim, U.; Seong Hwang, C.; Ko Park, S.; Hwang, C.; Jang, J.; Kyeong Jeong, J. Suppression in the negative bias illumination instability of Zn-Sn-O transistor using oxygen plasma treatment. Appl. Phys. Lett. 2011, 99, 102103. [Google Scholar] [CrossRef]
  28. Hernandez Gutierrez, C.A.; Casallas Moreno, Y.L.; Rangel Kuoppa, V.T.; Cardona, D.; Hu, Y.; Kudriatsev, Y.; Zambrano Serrano, M.A.; Gallardo Hernandez, S.; Lopez Lopez, M. Study of the heavily p-type doping of cubic GaN with Mg. Sci. Rep. 2020, 10, 16858. [Google Scholar] [CrossRef]
  29. Jiang, Y.; Wang, Q.; Zhang, F.; Li, L.; Zhou, D.; Liu, Y.; Wang, D.; Ao, J. Reduction of leakage current by O2 plasma treatment for device isolation of AlGaN/GaN heterojunction field-effect transistors. Appl. Surf. Sci. 2015, 351, 1155–1160. [Google Scholar] [CrossRef]
  30. Chien, J.F.; Chen, C.H.; Shyue, J.J.; Chen, M.J. Local electronic structures and electrical characteristics of well-controlled nitrogen-doped ZnO thin films prepared by remote plasma in situ atomic layer doping. ACS Appl. Mater. Interfaces 2012, 4, 3471–3475. [Google Scholar] [CrossRef]
  31. Hernández Gutiérrez, C.A.; Kudriavtsev, Y.; Cardona, D.; Guillén Cervantes, A.; Santana Rodríguez, G.; Escobosa, A.; Hernández Hernández, L.A.; López López, M. InxGa1-x N nucleation by In+ ion implantation into GaN. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. At. 2017, 413, 62–67. [Google Scholar] [CrossRef]
  32. Hernández Gutiérrez, C.A.; Kudriavtsev, Y.; Cardona, D.; Hernández, A.G.; Camas-Anzueto, J.L. Optical, electrical, and chemical characterization of nanostructured InxGa1-xN formed by high fluence In+ ion implantation into GaN. Opt. Mater. 2021, 111, 110541. [Google Scholar] [CrossRef]
  33. Hu, Y.; Hernandez Gutierrez, C.A.; Solis Cisneros, H.I.; Santana, G.; Kudriatsev, Y.; Camas Anzueto, J.L.; Lopez Lopez, M. Blue luminescence origin and Mg acceptor saturation in highly doped zinc-blende GaN with Mg. J. Alloys Compd. 2022, 897, 163133. [Google Scholar] [CrossRef]
  34. Kamiya, T.; Nomura, K.; Hosono, H. Origins of High Mobility and Low Operation Voltage of Amorphous Oxide TFTs: Electronic Structure, Electron Transport, Defects and Doping. J. Disp. Technol. 2009, 5, 468–483. [Google Scholar] [CrossRef]
  35. Vygranenko, Y.; Wang, K.; Nathan, A. Stable indium oxide thin-film transistors with fast threshold voltage recovery. Appl. Phys. Lett. 2007, 91, 263508. [Google Scholar] [CrossRef]
  36. Kwon, D.W.; Kim, J.H.; Chang, J.S.; Kim, S.W.; Kim, W.; Park, J.C.; Song, I.; Kim, C.J.; Jung, U.I.; Park, B. Temperature effect on negative bias-induced instability of HfInZnO amorphous oxide thin film transistor. Appl. Phys. Lett. 2011, 98, 063502. [Google Scholar] [CrossRef]
  37. Ide, K.; Kikuchi, Y.; Nomura, K.; Kimura, M.; Kamiya, T.; Hosono, H. Effects of excess oxygen on operation characteristics of amorphous In-Ga-Zn-O thin-film transistors. Appl. Phys. Lett. 2011, 99, 093507. [Google Scholar] [CrossRef]
  38. Zhou, X.; Shao, Y.; Zhang, L.; Lu, H.; He, H.; Han, D.; Wang, Y.; Zhang, S. Oxygen Interstitial Creation in a-IGZO Thin-Film Transistors Under Positive Gate-Bias Stress. IEEE Electron Device Lett. 2017, 38, 1252–1255. [Google Scholar] [CrossRef]
  39. Chowdhury, M.D.H.; Migliorato, P.; Jang, J. Time-temperature dependence of positive gate bias stress and recovery in amorphous indium-gallium-zinc-oxide thin-film-transistors. Appl. Phys. Lett. 2011, 98, 153511. [Google Scholar] [CrossRef]
  40. Omura, H.; Kumomi, H.; Nomura, K.; Kamiya, T.; Hirano, M.; Hosono, H. First-principles study of native point defects in crystalline indium gallium zinc oxide. J. Appl. Phys. 2009, 105, 093712. [Google Scholar] [CrossRef]
  41. Zhou, X.; Shao, Y.; Zhang, L.; Xiao, X.; Han, D.; Wang, Y.; Zhang, S. Oxygen Adsorption Effect of Amorphous InGaZnO Thin-Film Transistors. IEEE Electron Device Lett. 2017, 38, 465–468. [Google Scholar] [CrossRef]
  42. Anderson, P.W. Model for the Electronic Structure of Amorphous Semiconductors. Phys. Rev. Lett. 1975, 34, 953–955. [Google Scholar] [CrossRef]
  43. Jang, J.T.; Park, J.; Ahn, B.D.; Kim, D.M.; Choi, S.J.; Kim, H.S.; Kim, D.H. Study on the photoresponse of amorphous In-Ga-Zn-O and zinc oxynitride semiconductor devices by the extraction of sub-gap-state distribution and device simulation. ACS Appl. Mater. Interfaces 2015, 7, 15570–15577. [Google Scholar] [CrossRef] [PubMed]
  44. Kim, S.; Kim, S.; Kim, C.; Park, J.; Song, I.; Jeon, S.; Ahn, S.; Park, J.; Jeong, J.K. The influence of visible light on the gate bias instability of In–Ga–Zn–O thin film transistors. Solid-State Electron. 2011, 62, 77–81. [Google Scholar] [CrossRef]
  45. Yang, Z.; Meng, T.; Zhang, Q.; Shieh, H.D. Stability of Amorphous Indium–Tungsten Oxide Thin-Film Transistors Under Various Wavelength Light Illumination. IEEE Electron Device Lett. 2016, 37, 437–440. [Google Scholar] [CrossRef]
Figure 1. (a) Schematic diagram of the a-IGZO TFT with a bottom-gate structure; (b) Schematic illustration of the DOS model in the a-IGZO TFTs. The NTD and NTA represent the donor-like and acceptor-like tail states, respectively. The three gaussian curves represent the deep Vo-related states (NGD(Vo-related)), oxygen interstitials (NGA(Oi)), and shallow donor states (NGD(Vo+/Vo2+)), respectively. The inset is the schematic illustration of the interface trap density (Dit(E)).
Figure 1. (a) Schematic diagram of the a-IGZO TFT with a bottom-gate structure; (b) Schematic illustration of the DOS model in the a-IGZO TFTs. The NTD and NTA represent the donor-like and acceptor-like tail states, respectively. The three gaussian curves represent the deep Vo-related states (NGD(Vo-related)), oxygen interstitials (NGA(Oi)), and shallow donor states (NGD(Vo+/Vo2+)), respectively. The inset is the schematic illustration of the interface trap density (Dit(E)).
Micromachines 13 00617 g001
Figure 2. Simulated transfer characteristics for a-IGZO TFTs with different N-doping conditions: undoped, 20% N-doping ratio, and 40% N-doping ratio.
Figure 2. Simulated transfer characteristics for a-IGZO TFTs with different N-doping conditions: undoped, 20% N-doping ratio, and 40% N-doping ratio.
Micromachines 13 00617 g002
Figure 3. O 1s XPS spectra of the annealed a-IGZO films grown using N-doping ratio of (a) undoped, (b) 20% and (c) 40%. (d) N 1s XPS spectra of a-IGZO film grown with 20% N-doping ratio.
Figure 3. O 1s XPS spectra of the annealed a-IGZO films grown using N-doping ratio of (a) undoped, (b) 20% and (c) 40%. (d) N 1s XPS spectra of a-IGZO film grown with 20% N-doping ratio.
Micromachines 13 00617 g003
Figure 4. Depth profile of nitrogen in a-IGZO film deposited under 20% N-doping ratio and 40% N-doping ratio.
Figure 4. Depth profile of nitrogen in a-IGZO film deposited under 20% N-doping ratio and 40% N-doping ratio.
Micromachines 13 00617 g004
Figure 5. Simulated transfer characteristics against positive bias stress (PBS) time for the a-IGZO TFTs fabricated with different N-doping ratios: (a) undoped, (b) 20% N-doping ratio, and (c) 40% N-doping ratio.
Figure 5. Simulated transfer characteristics against positive bias stress (PBS) time for the a-IGZO TFTs fabricated with different N-doping ratios: (a) undoped, (b) 20% N-doping ratio, and (c) 40% N-doping ratio.
Micromachines 13 00617 g005
Figure 6. Schematic of the energy-band diagram of the a-IGZO TFTs. (a) the energy-band diagram of the TFTs before PBS, (b,c) the energy-band diagrams of the undoped TFTs and 20% N-doping ratio TFTs during PBS, respectively.
Figure 6. Schematic of the energy-band diagram of the a-IGZO TFTs. (a) the energy-band diagram of the TFTs before PBS, (b,c) the energy-band diagrams of the undoped TFTs and 20% N-doping ratio TFTs during PBS, respectively.
Micromachines 13 00617 g006
Figure 7. Simulated transfer characteristics against various monochromatic light illumination for the a-IGZO TFTs fabricated with different N-doping ratios: (a) undoping, (b) 20% N-doping ratio, and (c) 40% N-doping ratio.
Figure 7. Simulated transfer characteristics against various monochromatic light illumination for the a-IGZO TFTs fabricated with different N-doping ratios: (a) undoping, (b) 20% N-doping ratio, and (c) 40% N-doping ratio.
Micromachines 13 00617 g007
Figure 8. Schematic of the generation process of Vo-related defect states under short-wavelength light illumination: (a) undoping, (b) 20% N-doping ratio.
Figure 8. Schematic of the generation process of Vo-related defect states under short-wavelength light illumination: (a) undoping, (b) 20% N-doping ratio.
Micromachines 13 00617 g008
Table 1. Densities of key defect model parameters for a-IGZO TFT fitted after different N-doping ratios.
Table 1. Densities of key defect model parameters for a-IGZO TFT fitted after different N-doping ratios.
ParametersUndoping20%
N-Doping Ratio
40%
N-Doping
Ratio
Description
DitA
(eV−1 cm−2)
2.5 × 10138.0 × 10121.5 × 1013Acceptor-like interface trap densities
DitD
(eV−1 cm−2)
3.0 × 10139.0 × 10122.0 × 1013Donor-like interface trap densities
NTA
(eV−1 cm−3)
8.0 × 10191.0 × 10191.5 × 1020Acceptor-like tail states at E = Ec
NTD
(eV−1 cm−3)
1.5 × 10208.0 × 10191.3 × 1020Donor-like tail states at E = Ev
NGD(Vo-related)
(eV−1 cm−3)
8.0 × 10205.0 × 10206.5 × 1020Peak of Vo-related states
NGA(Oi)
(eV−1 cm−3)
2.6 × 10171.4 × 10172.1 × 1017Peak of Oi states
NGD(Vo+/Vo2+)
(eV−1 cm−3)
8.0 × 10165.0 × 10166.5 × 1016Peak of Vo+/Vo2+ states
Table 2. Densities of key defect model parameters for a-IGZO TFT fitted with different N-doping ratios after PBS.
Table 2. Densities of key defect model parameters for a-IGZO TFT fitted with different N-doping ratios after PBS.
ParametersN-Doping RatioInitial1500 s5000 sDescription
NGA(Oi)
(eV1 cm3)
0%2.6 × 10173.2 × 10173.6 × 1017Peak of Oi states
20%1.4 × 10172.0 × 10172.5 × 1017
40%2.1 × 10172.8 × 10173.2 × 1017
Table 3. Densities of key defect model parameters for a-IGZO TFT fitted with different N-doping ratios after monochromatic light illumination.
Table 3. Densities of key defect model parameters for a-IGZO TFT fitted with different N-doping ratios after monochromatic light illumination.
ParametersN-Doping
Ratio
Dark650 nm600 nm500 nmDescription
NGD(Vo-related)
(eV−1 cm−3)
0%8.0 × 1020Peak of
Vo-related states
20%5.0 × 1020
40%6.5 × 1020
NGD(Vo+/Vo2+)
(eV−1 cm−3)
0%8.0 × 10161.5 × 10172.5 × 10173.0 × 1017Peak of
Vo+/Vo2+
states
20%5.0 × 10169.0 × 10161.5 × 10172.2 × 1017
40%6.5 × 10161.2 × 10172.0 × 10172.5 × 1017
NGD(Vo2+-related)
(eV−1 cm−3)
0%1.2 × 1017Peak of
Vo2+-related states
20%7.0 × 1016
40%9.0 × 1016
NGA(Vo+-related)
(eV−1 cm−3)
0%9.0 × 10169.0 × 1016Peak of
Vo+-related states
20%4.0 × 10164.0 × 1016
40%7.5 × 10167.5 × 1016
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zhu, Z.; Cao, W.; Huang, X.; Shi, Z.; Zhou, D.; Xu, W. Analysis of Nitrogen-Doping Effect on Sub-Gap Density of States in a-IGZO TFTs by TCAD Simulation. Micromachines 2022, 13, 617. https://doi.org/10.3390/mi13040617

AMA Style

Zhu Z, Cao W, Huang X, Shi Z, Zhou D, Xu W. Analysis of Nitrogen-Doping Effect on Sub-Gap Density of States in a-IGZO TFTs by TCAD Simulation. Micromachines. 2022; 13(4):617. https://doi.org/10.3390/mi13040617

Chicago/Turabian Style

Zhu, Zheng, Wei Cao, Xiaoming Huang, Zheng Shi, Dong Zhou, and Weizong Xu. 2022. "Analysis of Nitrogen-Doping Effect on Sub-Gap Density of States in a-IGZO TFTs by TCAD Simulation" Micromachines 13, no. 4: 617. https://doi.org/10.3390/mi13040617

APA Style

Zhu, Z., Cao, W., Huang, X., Shi, Z., Zhou, D., & Xu, W. (2022). Analysis of Nitrogen-Doping Effect on Sub-Gap Density of States in a-IGZO TFTs by TCAD Simulation. Micromachines, 13(4), 617. https://doi.org/10.3390/mi13040617

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop