MIJ-NSR Volume 7, Article 1

A rate equation model is developed to investigate the plasma assisted MBE growth of GaN in the presence of a fractional monolayer of Mg. Four distinct cases were identified and modeled - (i) Ga-limited regime (ii) Low N-limited regime (iii) Medium N-limited regime and (iv) High N-limited regime. In the model, it is assumed that Ga arriving on a Mg site undergoes faster incorporation into the epilayer through an exchange reaction compared to Ga arriving directly on a N surface. Additionally the incorporation rate of Ga was assumed to depend on the size of the Ga cluster. The results of the model are in good agreement with that of experiments. The non-monotonic behavior of growth rate with Ga flux for moderate Mg coverage is explained based on the incorporation rate dependence of Ga on the cluster size.

1. Introduction

Group III nitrides are important for many opto-electronic devices. The future technologies based on microelectronic devices such as blue light emitting diodes, ultra-violet lasers for high capacity storage devices, and high temperature, high field heterojunction bipolar devices depend on these materials [1]. One method of producing III-nitride based device structures is molecular beam epitaxy. The understanding of the surface kinetics of the growth processes in molecular beam epitaxy is limited despite active experimental research. Thorough understanding of the growth process will help realize reliable production of high quality material in large quantities, which in turn will help in commercializing III-nitride based devices.

In order to make useful solid-state devices, a p-type dopant must be identified. Mg with its thermal activation energy of ~200 meV, is the most suitable candidate at the current level of technology [2]. It is, therefore, important to understand the influence of Mg on the surface kinetics of the GaN MBE growth process. In addition to acting as a p-type dopant, Mg has the benefit of inhibiting Ga droplet formation under N-limited conditions in the MBE growth of GaN [3]. Ga droplets get incorporated into the growing epilayer as pockets of Ga, thus resulting in poorer quality materials [4]. For high Mg fluxes resulting in 1/4 to 1/2 monolayer (ML) surface coverage, the Mg incorporates into the epilayer [2]. However, increasing Mg above 1 ML results in reversal from Ga-polarity surface to N-polarity surface and in lower Mg incorporation [5]. Mg has a much different behavior below 1/4 ML surface coverage. At a low Mg flux, the growth rate increases up to 30% for addition of Mg up to 1/4 ML [3]. Improved growth rates are necessary for producing high yield of material in a short amount of time.

Daudin et al. [3] found three different types of growth behaviors for three different coverages of Mg on the surface (C_Mg). When C_Mg= 0, the growth rate increases as a function of Ga flux in the Ga limited regime, then saturates at a constant value in the N-limited regime. For C_Mg= 0.05 ML, the growth rate increases until a critical Ga flux and then decreases rapidly until another critical Ga flux beyond which it increases and saturates

In spite of several experimental studies on the influence of Mg on GaN crystal quality of growth, the mechanisms of the growth are not well understood. In this article, a rate equation model based on the kinetics of the surface processes is presented (in section 2). In section 3, the results of the model are presented and compared with the experimental data of Daudin et al. [3]. Conclusions of the model are presented in section 4.

2. Model

2.1. Experimental Observations used in the Model

The following experimental results form the basis of the model developed in the study.

2.2. Theoretical Model

The rate equation model is based on the experimental observations listed in section 2.1 and is similar to the one developed for the GaN MBE growth using Ammonia and ECR N-plasma [7] [8], except that in the present model substrate temperature dependence is not considered. The experimental observations listed in 2.1 necessitate the use of four cases based on the Mg surface coverage.

2.2.1. Case 1: ( Ga-limited regime) (C_Ga<C_N)

In this case, Ga can arrive on two possible surfaces; Mg or N. The Ga arriving on Mg surface is assumed to undergo a surface exchange mechanism to incorporate into the epilayer, thus allowing Mg to ride to the surface. The Ga will incorporate into the epilayer on the exposed N surface as well. Additionally, evaporation of Ga from the surface was also allowed. Pictorially, these processes are shown in Figure 1a. Mathematically, time evolution of the surface coverage of Ga based on the surface processes can be modeled as:

where C_Ga, C_Mg, and C_N are surface coverages of Ga, Mg and N respectively. C_Ga +C_Mg in a layer is always less than or equal to 1.0. Anytime that C_Ga exceeds 1.0, the excess Ga forms droplets over the layer as shown in Figure 1b. The terms on the R.H.S. describes the change in Ga surface coverage due to Ga flux, incorporation of Ga on the N surface, the incorporation of Ga due to Mg, and the evaporation of Ga, respectively. In the second term, the coverage of N available for Ga to incorporate is and the fraction of Ga available for incorporation through direct incorporation is . In the third term, the available surface to incorporate through the Mg is C_Mg and the fraction of Ga available to incorporate through Mg is .

2.2.2. Case 2:( Low N-limited regime) C_Ga > C_N and (C_Ga -C_N) < C_Mg

Case 2 occurs when the Ga coverage exceeds the N coverage by a small value. In this case, there is excess Ga on the surface as shown in Figure 1b. Since, experimentally it is known that Mg causes Ga agglomeration, it is assumed that the excess Ga agglomerates only on the Mg sites. Thus on the Mg sites, a second layer of Ga fills partially on top of the first Ga layer. In the model, it is assumed that due to buildup of two layers of Ga, exchange of the two-layer portion of Ga with Mg is prevented due to Ga-Ga bonding. Thus, as Ga arrives in excess, the second layer coverage of Ga increases and the Mg-Ga exchange decreases and thus, decreasing the overall GaN growth rate. Mathematically, these observations can be modeled in terms of the time evolution of Ga as:

The terms on the R.H.S. represent the coverage change due to Ga flux, the incorporation of Ga onto the N surface, the incorporation of Ga through the Ga-Mg exchange, Ga evaporation, and Ga droplet formation, respectively. At steady state, C_Ga can be obtained as:

2.2.3. Case 3: (Medium N-limited):(C_Ga > C_N) and (C_Ga - C_N) > C_Mg))

Case 3 occurs when C_Ga exceeds (C_N+ C_Mg). In this case, the excess Ga produces a strain on the epilayer that forces the Mg to segregate to the surface. Two competing processes exist according to the site of arrival of Ga, either on top of Mg or on top of Ga droplets, as depicted in Figure 1c. The incorporation of Ga into the epilayer by Mg occurs at a faster rate than Ga incorporating into the droplets. Mathematically, the rate equation for C_Ga is:

Equation 3.1 is similar to Equation 2.1 except that in this case C_Ga - C_N = C_Mg, which physically means that the droplet formation occurs only over the area occupied by Mg.

2.2.4. Case 4: (High N-limited ) C_Ga>C_N+2C_Mg

In this case, the Ga droplet on top of the Mg layer completely separates out leaving a Mg layer completely covered with a single Ga layer all the time. All excess Ga agglomerates with the already existing Ga droplet or evaporates. These processes are pictorially shown in Figure 1d. Mathematically, the growth rate is dependent only on C_N and C_Mg and is given by:

where the terms on the R.H.S. describes contributions to the growth rate due to the incorporation of Ga on N, and the incorporation of Ga through the Ga-Mg exchange, respectively.

Equations 1.1-4.1 were programmed in C++ language and the computation of G as a function of Ga flux and Mg coverage were performed on a computer with a 450 MHz AMD K6-2 processor.

Growth Rate given by Eqn. 1.3-2.3 (Case 1 and Case 2), Eqn 2.3 -3.3 (Case 2 and Case 3), and Eqn. 3.3-4.1 (Case 3 and Case 4), are equal at Case 1-2, Case 2-3, Case 3-4 limits, respectively.

3. Results and Discussion

The relationship between Ga flux in ML/s and the Ga cell temperature, T_Ga, was obtained by comparing the data of Figure 1 of Ref. [9] and Figure 6.(a) of Ref. [3]. Thus, the experimental growth rate, G, versus T_Gadata of Ref. [9] can be converted to growth rate, G, versus Ga flux, J_Ga.Similarly a quantitative relationship between the magnesium cell temperature, T_Mg, and coverage of the surface riding Mg, C_Mg, was established using experimental data of Daudin et al. [3] and used in the model. The model parameters, time constants for the various mechanisms,

₂,

₃, and

₄, were found to be dependent on the C_Mg by fitting the experimental data with that of our results. The dependence of the time constants on the C_Mg is presented in Table I. In general,

₁,

₂, and

₄ decreased as C_Mg increased,

₃ increased with C_Mg.

The growth rate, G, versus Ga flux, for the case of no Mg present was obtained using Equations 1.2-1.3 and is shown in Figure 2 along with the experimental data. For all growth vs. Ga flux curves several data points were computed for each case. But for purposes of clarity only the growth curve is shown. The agreement between the results is excellent. The growth rate increases linearly with the J_Ga in the Ga limited regime and saturates at a constant value in the N-limited regime as expected. The saturation growth rate corresponds to a sticking coefficient of 0.805.

For the cases of residual Mg and T_Mg equal to 212°C, and 220°C, the surface coverage of Mg can be estimated qualitative to be 0.05, 0.1, and 0.15, from experimental data of Daudin et al. [3] respectively. With these values of Mg surface coverages, growth rate, G, versus Ga flux, J_Ga, plots were obtained using Equation 1.2, 1.3, 2.2, 2.3, and 4.1.and are shown in Figures 2-5 along with the corresponding experimenta1 data [3]. In all three cases, the qualitative agreement between the experimental and theoretical plots is good. Quantitative agreement is only fair due to uncertainty and scatter in the experimental data and in the model parameters.

For the case of residual Mg, the growth rate is linear with J_Ga in the Ga-limited regime similar to the C_Mg=0 case, except that in this case, due to faster incorporation of Ga through Ga-Mg exchange as described in 2.1, the growth rate is faster. In the low N-limited regime described in 2.2, the growth rate decreases with J_Ga given by Equations 2.2 and 2.3. The reason for this observed behavior is as follows. As the Ga coverage, C_Ga, becomes more than the N coverage, C_N, there is excess available Ga. Presence of Mg makes the Ga coalesce on the Mg sites, which results in stronger bonding between Ga-Ga resulting in less Ga-Mg exchange. This will result in a decrease in Ga incorporation with the decrease directly proportional to the excess Ga. At a certain J_Ga, the excess Ga is exactly equal to the coverage of Mg at which point the growth rate reaches a minimum, which is below the saturated growth rate of the C_Mg=0 case. When the excess Ga exceeds the coverage of Mg, the Mg escapes the cluster leaving a ball of Ga and any more excess Ga partly exchanges with Mg or evaporates or agglomerates with the Ga droplet. Thus, the growth rate increases with further increase in J_Ga and saturates at a fixed value dictated by the maximum Mg-Ga exchange rate.

In this model, the growth rate dependence on substrate temperature, surface reconstructions, or the growth surface polarity, are not considered. If detailed experimental data for various conditions are available, then a similar model can be adopted and time constants can be obtained by fitting the experimental data to theoretical data. Using the temperature dependence of time constants, activation energies for the various surface processes can be obtained.

4. Conclusion

A rate equation model is developed to investigate the plasma assisted MBE growth of GaN in the presence of fractional monolayer of Mg. Four distinct cases for the model based on the surface processes were identified - (i) Ga-limited regime (ii) Low N-limited regime (iii) Medium N-limited regime and (iv) High N-limited regime. The results of the model were found to be in good agreement with the experimental results of Daudin et al [2]. It is found that exchange between Ga and Mg produces a faster growth rate. Additionally, it is found that non-monotonic behavior of growth rate with Ga flux results due to the dependence of the exchange mechanism Ga cluster size.

Acknowledgments

References

Table 1

Figure 1a. A schematic picture depicting the incorporation of Ga by Mg and N described in 2.2.

Figure 1b. A schematic picture depicting the formation of Ga droplets due to excess Ga arriving on surface described in section 2.2.

Figure 1c. A schematic picture depicting the segregation of Mg to the surface due to strain forcing Mg to migrate to the surface and two competing surface processes described in 2.2.

Figure 1d. A schematic picture depicting the surface processes resulting in growth rate saturation described in 2.2.

Figure 2. Calculated and experimental growth rate versus Ga flux for the T_Mg cell temperature of 0°C corresponding to a C_Mg of 0. Coverage of Ga plotted as well.

Figure 3. Calculated and experimental growth rate versus Ga flux for residual Mg in the MBE system corresponding to a C_Mg of 0.05. Coverage of Ga plotted as well.

Figure 4. Calculated and experimental growth rate versus Ga flux for the T_Mg cell temperature of 212°C corresponding to a C_Mg of 0.10. Coverage of Ga plotted as well.

Figure 5. Calculated and experimental growth rate versus Ga flux for the T_Mg cell temperature of 220°C corresponding to a C_Mg of 0.15. Coverage of Ga plotted as well.

CMg (ML)	0	0.05	0.1	0.15
`₁ (s)`	`3`	`2.53`	`2.43`	`2.25`
`₂ (s)`	`0`	`0.35`	`0.25`	`0.5`
`Case 3 multiplier`	`1`	`1`	`0.667`	`0.541`
`₃ (s)`	`50`	`150`	`200`	`750`
`₄ (s)`	`0`	`15`	`5`	`4.75`
`Case 3 multiplier`	`1`	`0.0105`	`0.025`	`0.0526`

Modeling GaN Growth by Plasma Assisted MBE in the Presence of Low Mg Flux

Abstract