Abstract
The small-signal S parameters of the fabricated double-finger gate AlGaN/GaN high electron mobility transistors (HEMTs) were measured at various direct current quiescent operating points (DCQOPs). Under active bias conditions, small-signal equivalent circuit (SSEC) parameters such as Rs and Rd, and intrinsic parameters were extracted. Utilizing fT and the SSEC parameters, the effective electron velocity () and intrinsic electron velocity () corresponding to each gate bias (VGS) were obtained. Under active bias conditions, the influence mechanism of VGS on was systematically studied, and an expression was established that correlates , , and bias-dependent parasitic resistances. Through the analysis of the main scattering mechanisms in AlGaN/GaN HEMTs, it has been discovered that the impact of VGS on should be comprehensively analyzed from the aspects of and parasitic resistances. On the one hand, changes in VGS influence the intensity of polar optical phonon (POP) scattering and polarization Coulomb field (PCF) scattering, which lead to changes in dependent on VGS. The trend of with changes in VGS plays a dominant role in determining the trend of with changes in VGS. On the other hand, both POP scattering and PCF scattering affect through their impact on parasitic resistance. Since there is a difference in the additional scattering potential corresponding to the additional polarization charges (APC) between the gate-source/drain regions and the region under the gate, the mutual effects of PCF scattering on the under-gate electron system and the gate-source/drain electron system should be considered when adjusting the PCF scattering intensity through device structure optimization to improve linearity. This study contributes to a new understanding of the electron transport mechanisms in AlGaN/GaN HEMTs and provides a novel theoretical basis for improving device performance.
1. Introduction
Gallium nitride (GaN) materials are typical wide-bandgap semiconductor materials [1]. AlGaN/GaN HEMTs based on GaN materials are outstanding representatives of the new generation of semiconductor devices [2,3,4]. Owing to their superior performance, such as high electron velocity and high critical breakdown electric field, they hold broad market application prospects in high-frequency and high-power fields, including aerospace and mobile communication, among others [5,6,7]. Despite a series of scientific and technological breakthroughs in the study of AlGaN/GaN HEMTs, their power output and linearity have not yet fully reached the expected values due to non-ideal factors [8,9,10]. This has become an important factor restricting the large-scale commercial application of AlGaN/GaN HEMTs.
The channel electron velocity has a significant impact on device performance [11]. The electron velocity and maximum current-gain cutoff frequency (fT) of AlGaN/GaN HEMTs remain a controversial issue [9]; the rapid decrease in gm and fT with increasing gate bias is believed to be related to effective electron velocity () [11,12]. However, much of the current research mainly focuses on the peak of electron velocity [9,13], which cannot fully reflect the operating mechanism of the device. There is relatively little research on the bias dependence of electron velocity. In the limited number of studies currently available on the bias dependence of electron velocity, the extraction of bias-related electron velocities is based on small-signal model parameters obtained through the COLD-FET method, without considering the bias dependence of parasitic resistances [14]. Due to the influence of bias voltage on the two-dimensional electron gas (2DEG) of the access area, the parasitic source and drain resistances (Rs and Rd) of AlGaN/GaN HEMTs have bias dependence [15,16,17]. Rs and Rd are important reasons for the inconsistency between the external effective parameters and intrinsic parameters of the device. Therefore, when studying the effect of bias voltage on , it is necessary to consider the bias dependence of Rs and Rd. Polar optical phonon (POP) scattering and polarization Coulomb field (PCF) scattering are the most important scattering mechanisms for AlGaN/GaN HEMTs, and their intensity is affected by bias voltage [18,19,20]. Therefore, when studying the effect of bias voltage on in AlGaN/GaN HEMTs, it is necessary to systematically analyze the relationship between gate bias, parasitic resistance, scattering mechanism, and .
In this study, double-finger gate AlGaN/GaN HEMTs suitable for high-frequency applications were fabricated, and the broadband S parameters were measured under different gate bias conditions. Small-signal equivalent circuit (SSEC) parameters such as Rs and Rd, and intrinsic parameters were extracted under active bias conditions. The intrinsic electron velocity () dependent on gate bias is calculated using these SSEC parameters. Moreover, the corresponding to each gate bias voltage is obtained through the fT. We analyzed the mechanism by which bias voltage affects and established a correlation expression between and . This study is beneficial for understanding the electron transport mechanism of AlGaN/GaN HEMTs from a new perspective and provides a new theoretical basis for improving device performance, such as linearity.
2. Experiments
AlGaN/GaN heterostructure wafers were grown on 4H-SiC substrates via MOCVD. Above the substrate are a 1000 nm GaN buffer layer, 400 nm undoped GaN, 0.8 nm AlN, 21 nm Al0.26Ga0.74N, and 3 nm GaN. The electron mobility and 2DEG density of the wafer, obtained by Hall measurement, are 2073 [cm2/(V·s)] and 1.09 × 1013 cm−2.
The structure of the AlGaN/GaN HEMTs used in this study is shown in Figure 1. The source and drain of the device are Ohmic contacts, which are formed by stacking Ti/Al/Ni/Au on AlGaN/GaN heterostructure wafers and then rapidly annealing in an N2 environment. The gate is a Schottky contact, manufactured by depositing Ni/Au after electron beam lithography. The device is a central gate; the gate length (LG) is 300 nm, and a gate width (WG) is 40 × 2 μm. The device with 1 μm gate-source spacing (LGS) is named as Sample 1, and the device with 2 μm LGS is named as Sample 2. The I-V characteristics and S parameters were measured using the Keysight B1500A Semiconductor Device Parameter Analyzer(Keysight Technologies Inc., Santa Rosa, CA, USA) and the Keysight PNA-X Vector Network Analyzer.(Keysight Technologies Inc., Santa Rosa, CA, USA).
Figure 1.
Schematic diagram of the AlGaN/GaN HEMTs used in this study.
3. Results and Discussion
The I-V characteristics of Sample 1 and Sample 2 are shown in Figure 2. The points with VDS = 12 V and VGS = 0 to −3.5 V (step: −0.5 V) were chosen as the direct current quiescent operating points (DCQOPs) to measure the small-signal S parameters corresponding to each gate bias condition. The frequency range for small-signal S parameter measurement is 0.5 to 40 GHz. The small-signal S parameter is converted to the H-parameter, and the current-gain modulus H21 (dB) is obtained. Therefore, as shown in Figure 3 and Figure 4a, the fT can be obtained by extrapolating H21 (dB) [21,22,23,24]. For AlGaN/GaN HEMTs, the external effective electron velocity (experimental value) can be expressed as follows [25]:
Figure 2.
The measured I-V characteristics of (a) Sample 1 and (b) Sample 2.
Figure 3.
Method for obtaining fT of AlGaN/GaN HEMTs through H21 (taking the fT of Sample 1 at DCQOPs of VDS = 12 V, VGS = −3 V as an example; fT = 48.6 GHz).
Figure 4.
(a) The fT corresponding to each gate bias and (b) the corresponding to each gate bias for Sample 1 and Sample 2.
So, as shown in Figure 4b, the corresponding to each gate bias for the two samples can be obtained. From Figure 4b, it can be seen that reaches its peak at a VGS of −3 V, and gradually decreases as VGS increases from −3 V to 0 V. The phenomenon of decreasing with increasing VGS will seriously affect the linearity of the device.
The phenomenon of effective electron velocity decreasing with increasing VGS is related to the intrinsic electron velocity () and Rs and Rd, which are related to VGS. The of AlGaN/GaN HEMTs can be expressed as follows [26]:
Among them, is the intrinsic transconductance, and and are intrinsic gate-source and gate-drain capacitors, which are directly extracted under active bias conditions based on the SSEC shown in Figure 5 [27,28,29,30,31]. Figure 6 shows the calculated corresponding to each gate bias of Sample 1 and Sample 2.
Figure 5.
Topology diagram of SSEC for AlGaN/GaN HEMTs (parasitic parameters unrelated to bias are not depicted in this figure).
Figure 6.
The corresponding to each gate bias for Sample 1 and Sample 2.
From Figure 6, it can be seen that reaches its peak at a VGS of −3 V and then decreases significantly as VGS increases from −3 V to 0 V. The magnitude of is determined by the x-direction electric field under the gate (Ex) and the scattering mechanisms. Existing research has shown that the change in the intensity of Ex is very slight when the gate bias is altered [32]. Therefore, the variation in with VGS is primarily determined by the scattering mechanisms. POP scattering and PCF scattering are the predominant scattering mechanisms in AlGaN/GaN HEMTs. As VGS increases, both the temperature of polar optical phonons (TPOP) and the density of the two-dimensional electron gas (n2DEG) increase, leading to enhanced POP scattering [33,34,35]. The enhancement of POP scattering intensity causes to decrease with VGS. When VGS < −3 V, both TPOP and n2DEG are lower, resulting in weaker POP scattering, making PCF scattering the dominant mechanism. During the process of increasing VGS from −3.5 V to −3 V, the inverse piezoelectric effect (IPE) weakens, leading to a reduction in the additional polarization charge (APC) and a decrease in PCF scattering, which results in an increase in . The variation in with VGS is an important factor influencing the variation in effective electron velocity with VGS. The above analysis indicates that the effects of POP scattering and PCF scattering on the variation trend of with VGS are opposite. Therefore, enhancing the PCF scattering strength corresponding to the electron system under the gate can reduce the magnitude of at lower VGS voltage ranges and compensate for the device linearity loss caused by the reduction in due to the increased POP scattering caused by a higher VGS. This results in a more gradual change in with VGS and thereby improves the device’s linearity across the entire operating voltage range. Sample 2, with its larger LGS and LGD values, corresponds to a stronger additional scattering potential, which leads to more intense PCF scattering in the under-gate electron system. As a result, the variation in with VGS is more gradual, as illustrated in Figure 6.
Figure 7 shows the Rs and Rd corresponding to each gate bias for Sample 1 and Sample 2. These values are directly extracted under active bias conditions based on the SSEC shown in Figure 5 [27,28,29,30,31]. Due to the modulation of Rs and Rd on the gate-source voltage and drain-source voltage [26,36], , the externally measured effective electron velocity, is less than . Considering these modulation effects, the relationship between , , and parasitic resistance can be expressed as follows:
where is the dielectric constant of a vacuum, is the dielectric constant of AlGaN, W is the gate width, d is the barrier layer thickness, and gds is the drain conductance. Figure 8 displays the calculated using Formula (3) and the effective electron velocity obtained experimentally (denoted as ), illustrating that the two values are consistent.
Figure 7.
The Rs and Rd corresponding to each gate bias for (a) Sample 1 and (b) Sample 2.
Figure 8.
Comparison of obtained through Formula (3) with from experiments and comparison of effective electron velocity with for (a) Sample 1 and (b) Sample 2.
Analysis of the relationship between the , parasitic resistances and has revealed that both POP and PCF scattering can influence by altering and parasitic resistances. When the VGS changes, the mechanisms by which POP and PCF scattering impact the are similar to their effects on parasitic resistances [17,18]. As VGS increases, the intensities of PCF and POP scattering exhibit opposite trends. Consequently, their counteracting effects can be utilized to moderate the changes in and parasitic resistances induced by VGS, thus enhancing linearity during the entire operating voltage range. However, in the PCF scattering model, the drain-source channel is divided into two systems: the under-gate electron system and the gate-source/drain electron system [37]. As shown in Figure 9a, the impact of PCF scattering on is realized by the scattering action of the APC present in the gate-source/drain regions on the electrons located in the area under the gate. The additional scattering potential generated by the APC present in the gate-source/drain regions can be expressed as follows [37]:
where and are the amounts of APC present in the gate-source/drain regions. The scatters the electrons located in the area under the gate, thereby affecting . Conversely, as shown in Figure 9b, the impact of PCF scattering on Rs and Rd is achieved through the scattering action of the APC present in the region under the gate on the electrons located in the gate-source/drain regions. The additional scattering potential generated by the APC present in the region under the gate can be expressed as follows [37]:
where is the amount of APC present in the region under the gate. The scatters the electrons located in the gate-source/drain regions, thereby affecting Rs and Rd. When the under-gate electron system experiences strong PCF scattering, the PCF scattering in the gate-source/drain electron system might be weak. Therefore, when adjusting the intensity of PCF scattering to influence the device linearity by optimizing the device structure, the mutual effects of PCF scattering on the under-gate electron system and the gate-source/drain electron system should be considered. For the two samples in this study, since LGS is greater than LG, the under-gate electron system experiences stronger PCF scattering. Consequently, the impact of PCF scattering on is greater than its impact on Rs and Rd.
Figure 9.
Schematic of the influence of the APC on the (a) under-gate electron system and (b) gate-source/drain electron system in the PCF scattering model.
4. Conclusions
In summary, based on the measured wideband small-signal S parameters of AlGaN/GaN HEMTs, the is calculated using the fT obtained. SSEC parameters such as Rs and Rd and intrinsic parameters were extracted under active bias conditions. And the corresponding to each VGS was also calculated. We analyzed the mechanism by which VGS affects and established an expression for the relationship between , , and parasitic resistances. By analyzing the main scattering mechanisms in AlGaN/GaN HEMTs, it was found that the impact mechanism of VGS on needs to be comprehensively analyzed from two aspects: and parasitic resistances. On the one hand, the change in VGS will affect the intensity of POP scattering and PCF scattering, leading to a change in . The trend of changing with VGS has a direct impact on and plays a dominant role in the trend of changing with VGS. On the other hand, due to the presence of parasitic resistance, is smaller than . Due to the differences in APC between the gate-source/drain regions and the under-gate region, when optimizing the device structure to adjust the intensity of PCF scattering to influence device linearity, the mutual effects of PCF scattering on the under-gate electron system and the gate-source/drain electron system must be considered. This study comprehensively elucidates the impact mechanism of gate bias on from both intrinsic and parasitic aspects, which is beneficial for understanding the electron transfer mechanism of AlGaN/GaN HEMTs from a new perspective and provides a new theoretical basis for improving the linear performance of the devices.
Author Contributions
Conceptualization: G.J. and P.C.; methodology, G.J. and P.C.; software, P.C.; validation, C.F., Y.L. (Yang Liu) and Y.L. (Yuanjie Lv); formal analysis, G.J. and P.C.; investigation, C.F.; resources, Y.L. (Yuanjie Lv) and G.Z.; data curation, G.J. and Y.L. (Yang Liu); writing—original draft preparation, G.J.; writing—review and editing, G.J., P.C., C.F., Y.L. (Yuanjie Lv), M.Y., Q.C. and Y.L. (Yang Liu); visualization, C.F. and M.Y.; supervision, C.F. and G.Z.; project administration, Y.L. (Yang Liu) and G.Z.; funding acquisition, G.J. and M.Y. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported in part by the Scientific Research Fund of Shandong Jiaotong University (Grant No. Z202321), in part by the Doctoral Research Start-up Fund of Shandong Jiaotong University (Grant No. BS2024005), in part by the National Natural Science Foundation of China (Grant No. 62374011), and in part by the Shandong Provincial Higher School Youth Innovation Team Development Program (Grant No. 2022KJ318).
Data Availability Statement
The data presented in this work are available within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
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