The bandgap of ZnGeN2 changes with the degree of cation site disorder and is sought in light emitting diodes for emission at green to amber wavelengths. By combining the perspectives of carrier localization and defect states, we analyze the impact of different degrees of disorder on electronic properties in ZnGeN2, addressing a gap in current studies, which largely focus on dilute or fully disordered systems. The present study demonstrates changes in the density of states and localization of carriers in ZnGeN2 calculated using bandgap-corrected density functional theory and hybrid calculations on partially disordered supercells generated using the Monte Carlo method. We use localization and density of states to discuss the ill-defined nature of a bandgap in a disordered material and identify site disorder and its impact on the structure as a mechanism controlling electronic properties and potential device performance. Decreasing the order parameter results in a large reduction of the bandgap. The reduction in bandgap is due, in part, to isolated, localized states that form above the valence band continuum associated with nitrogen coordinated by more zinc than germanium. The prevalence of defect states in all but the perfectly ordered structure creates challenges for incorporating disordered ZnGeN2 into optical devices, but the localization associated with these defects provides insight into the mechanisms of electron/hole recombination in the material.
I. INTRODUCTION
Site disorder, the replacement of chemical species on a fixed crystallographic lattice, has recently attracted interest across semiconductor research areas as a means to control optoelectronic properties. While site disorder—referred to from here on simply as disorder or the degree of order—has notably been studied as a mechanism for managing properties in chalcogenide transistors and solar cell materials for some time,1–5 its application to such a vast array of ternary and multinary nitrides and phosphides is a more recent development.6,7 Insight from broader comparisons of II–IV–N2 materials has identified relationships between cation species, structural distortion, and electronic structure due to this disorder,8 and in some systems, site disorder has been investigated as a means of lowering bandgap energies to ideal ranges for targeted applications. In ZnGeN2, cation disorder is sought to reduce the bandgap from the calculated9–11 and measured12–15 range of 3.0–3.6 eV to the 2.1–2.5 eV desired for amber to green wavelengths in a light emitting diode (LED), often referred to as the green gap.16 Disordered ZnGeN2, which is lattice matched to GaN, may be desirable as a replacement for a high In content InxGa1−xN, which suffers from a miscibility gap and large lattice mismatch with GaN in heterostructure devices.12,17–19
Because disorder adds nuance to how a bandgap is measured and calculated, when the term “bandgap” is used in this work, we refer to the energy difference between the highest occupied and lowest unoccupied molecular orbitals (HOMO and LUMO) unless specified otherwise. However, this energy difference is not the only viable definition as will be discussed throughout this article. To investigate the impact of disorder on the bandgap of ZnGeN2, we utilize disordered structures in large supercells of 1024 atoms.20 These structure models incorporate site disorder consisting of cation antisite pairs that numerous defect studies have highlighted as the dominant native defects in ZnGeN2.9,11,21–26 In contrast to a dilute defect model, site disorder accounts for the interaction of ZnGe and GeZn present in high concentrations representative of materials grown under non-equilibrium conditions. This study separates the impact of site disorder explicitly from stoichiometry, non-native defects, and crystalline quality, all known to further influence the optical and electronic properties of interest. To illustrate the ordered system, Fig. 1 provides the crystal structure, reciprocal space map, and band structure of ZnGeN2.
In a dilute defect picture, defects do not interact and additional occupied or unoccupied states are viewed as defect states within an otherwise unchanged bandgap. Historically, the theoretical discussion of differentiating bandgaps and defect states has been held in this context of dilute point defects27–29 or in fully random systems30–32 but misses systems with intermediate degrees of order with a few notable exceptions.33,34
In materials with both dilute and non-dilute defects, Urbach energy35 describes how the optical absorption of a semiconductor tails off exponentially36–38 at energies below the bandgap due to transitions from within bands to defect states in the energy gap and at even lower energies directly between defect states in the gap.39–41 Urbach tails are evident in Tauc42 analyses of thin films and in bulk systems where variations in the Kubelka–Munk method43,44 are often used to interpret bandgaps. These bulk and film methods frequently vary in the interpretation of an optical bandgap based on differences in their assumptions.45–47
The difficulty in properly defining a bandgap stems to a large extent from the fact that the bandgap is used as a scalar metric to address a multitude of related but distinct phenomena and questions, either in experimental measurements or theoretical computation, and in various fields of research. Fundamentally, the bandgap is the difference between ionization potential (electron removal energy) and electron affinity (electron addition energy). As such, it is not an optical or even excited-state property. However, most experimental approaches for bandgap measurements are based on optical spectroscopy as mentioned above. In such approaches, it is difficult to account for nontrivial physical mechanisms that modify the shape of the spectra from which the bandgap value is deduced. For example, calculations using the Bethe–Salpeter equation (e.g., Ref. 48) show that excitonic effects (electron–hole interaction) tend to red shift the dielectric response above the absorption threshold compared to the independent particle approximation and enable subband gap excitations (exciton binding energy). Similarly, the variation in oscillator strength resulting from wavefunction symmetries (direct vs indirect and allowed vs forbidden transitions) is often not precisely known but can affect the spectra in ways that are not fully captured by model parameters used, e.g., in Tauc analysis. Furthermore, there is a fundamental difference between optical transition energies in absorption and emission, i.e., the Stokes shift,49 which is non-radiatively converted to heat. These effects add significant uncertainties to bandgap determination in all but the most thoroughly characterized systems (e.g., GaAs,50 Cu2O,51 ZnO,52 and GaN53). These uncertainties are further exacerbated in disordered materials where one must make additional assumptions or define models to discriminate between defect and continuum states.
This work addresses these challenges from the perspective of large-scale supercell electronic structure calculations in disordered ZnGeN2. Here, we investigate the consequences of disorder in ZnGeN2 due to non-equilibrium synthesis on the electronic structure. We use non-self-consistent hybrid functional calculations to enable the analysis of the density of states (DOS) and carrier localization as a function of long-range order (LRO) and short-range order (SRO). The bandgap of 3.5 eV of ordered ZnGeN2 decreases with the increasing degree of disorder and eventually closes for strongly disordered configurations. Calculated inverse participation ratios (IPRs) allow us to assess the localization of states in this range of disordered ZnGeN2 and discuss how localization impacts our interpretation of a bandgap and device characteristics. By comparing the DOS of ZnGeN2 structures from bandgap corrected calculations in 1024 atom cells, we analyze the effect of disorder on the bandgap of the system.
II. DISORDERED ATOMIC STRUCTURE MODELS
This article builds on results from previous work20 in which disordered ZnGeN2 structures were generated using Monte Carlo (MC) simulations, providing atomic structure models with the systematic variation of the order parameters across the order–disorder transition. The degree of disorder is controlled by an effective temperature describing the site ordering of a cation configuration within a crystalline system. This model includes the configurational entropy contribution to the free energy of the system but excludes factors such as decomposition reactions that dominate at higher actual synthesis or process temperatures. Thus, the effective temperature provides a link to map site disorder between MC simulations and non-equilibrium synthesis.20 We focus in this work on four effective temperatures representing four separate regimes of ordering. 2000 and 2500 K structures include the ground state, ordered configuration, and mostly ordered structures with a few antisites per cell. 3000 K structures are disordered but not random, and 5000 K structures are highly disordered but still not random. The level of disorder between 3000 and 5000 K is best understood through differences in electronic properties as discussed later in this article. Truly random configurations are not realized below the effective temperature of ∼400 000 K.20
To relate DOS, IPR, and ordering, we employ the fraction of nitrogen coordinated by exactly two Ge and two Zn compounds (Zn2Ge2 motif fraction) as a measure of SRO and the Bragg–Williams LRO parameter, η,
where rZn (rGe) is the fraction of Zn (Ge) on Zn (Ge) ground state sites.54,55
Both LRO and SRO parameters—measures of Wyckoff site occupancy and nitrogen coordination, respectively—indicate full ordering at low effective temperatures. Both parameters slightly decrease from their ordered values of one when individual defect pairs (site exchange of Zn and Ge) are introduced in the supercells with increasing effective temperature. LRO and SRO parameters then drop abruptly at the transition of 2525 K. Above the transition temperature, the order parameters taper from small values to their fully disordered extremes at an infinite effective temperature, 0 for LRO and 0.375 for SRO. The transition in order parameters covers a wider range of accessible SRO than LRO parameters, but the transition occurs in both length scales simultaneously (LRO and SRO are strongly coupled). This behavior contrasts with the ZnSnN2:ZnO system,56 where SRO can exist without LRO.
III. DISORDER AND DENSITY OF STATES
Paying special attention to the role of localized states in determining the value of the bandgap, we assess what a bandgap means in the context of disordered solids. We use the IPR here as a measure of the localization of a state at a given energy as shown in Eq. (2), where the IPR indicates that a given state at a given energy is localized on average on one of the IPR atoms. An IPR of 1 indicates perfect delocalization, and a value of 1024 indicates exclusive localization on a single atom within the supercell,
where NA is the number of atoms in a supercell and pi(E) is the local density of states (LDOS) projected on each atom i as a function of energy E.
Figure 2(a) shows the total DOS of 36 ZnGeN2 configurations evenly grouped by their effective temperature and corresponding range of the LRO parameter. To access the effect of disorder on valence (occupied) and conduction (unoccupied) band states individually, we determined the potential alignment of the disordered structures relative to the ground state (see Sec. V). Using a 10 meV increment in data points, defect states appear in the DOS of disordered structures represented by allowed (non-gray) bands separated from the band edges by forbidden (gray) states. Up to Teff = 2000 K, the MC simulation largely retains the ordered ground state structure, but some ZnGe and GeZn antisite configurations start to develop. Between 2000 and 2500 K, the concentration of antisite defects increases with a concomitant decrease in the average bandgap of 0.7 eV. Just above 2500 K, the system undergoes an order–disorder phase transition,20 assuming a state with both long- and short-range disorder. It is important to note, however, that the system retains a significant degree of non-random LRO and SRO up to much higher effective temperatures. As seen in Fig. 2, comparing Teff = 2500 and 3000 K, it is found that the phase transition is accompanied by a large reduction in the order parameter η and an additional bandgap reduction of about 1.1 eV. The average bandgap then decreases by 1.0 eV from 3000 to 5000 K as the system tends toward metallic for mostly disordered structures.
The decrease in bandgap with disorder comes from movement in both the conduction band minimum (CBM) and valence band maximum (VBM); replacing a single pair of cations in the ground state structure with an antisite pair raises the Fermi level by 200–500 meV depending on the proximity of the pair. The Fermi level in this context is taken as the midpoint between the energy levels of the highest occupied and lowest unoccupied states and lies just below 2 eV on the energy scale of Fig. 2. Further decreasing the degree of order does not significantly impact the Fermi level beyond the initial shift until the bandgap effectively closes. Without contributions from non-native, non-antisite defects and stoichiometry, site disorder alone drastically changes the bandgap of ZnGeN2 over a 3.5 eV range.
Figure 2(b) provides the corresponding IPR of the DOS from Fig. 2(a), allowing a look at the localization of states. The IPR is undefined where the DOS is zero (in the bandgap). Like the DOS, IPRs are discretized with a step size of 10 meV. The scaling of the color bar representing the IPR in Fig. 2(b) highlights the most localized states, the movement of which can be tracked across the bandgap (gray region) with the changing order parameter. These localized states remain relatively constant in energy relative to the VBM but increase in quantity and density with the decreasing degree of order. The localized, mid-gap states indicate a high probability of non-radiative recombination centers in disordered ZnGeN2,57,58 which coincides with lower conversion efficiencies in LEDs.
While configurations with both small and large (disordered) fractions of antisites have states with relatively high IPRs, one identifying factor for interpreting bandgaps is the range of these localized states in energy. Individual antisite pairs result in defect states that can clearly be associated with either the conduction or valence band edge; however, this clarity is lost as the gap closes and high IPR states spread throughout the gap. At higher effective temperatures presented in Fig. 2(b), for instance, states with an IPR above 50 are all occupied even though some appear high in energy, adjacent to less localized, unoccupied states; this indicates a closed energy gap. The Fermi levels for metallic configurations in Fig. 2(b) fall between 2.5 and 3 eV on the provided energy scale. The high IPR values in the gap, close to the valence band edge for dilute defect structures, are strongly correlated with the Zn3Ge1 motif centered on nitrogen, whereas the Zn1Ge3 and Zn2Ge2 motifs contribute significantly less to the IPR. Zn4Ge0 and Zn0Ge4 motifs only appear in very limited cases below 3000 K. At and above 2500 K, some conduction band states separate from the continuum in energy. The highest contributor to the IPR in these bands is mostly Zn with a few instances of Ge contributing more than Zn and N. The participation of the cations independent of their first and second shell coordination contrasts separated valence bands where nitrogen and its first shell coordination play the largest role. The IPR in these separated conduction band states reaches a maximum of 20, significantly less than the maximum of 200 for elevated valence band states.
Until this point, we have treated the bandgap of a system simply as the difference in energy between the highest occupied and lowest unoccupied states as this definition is typically effective in ordered systems. This definition often results in the inclusion of defect states as part of the band continuum and when in reality, these isolated states hinder electronic transport and can be considered defect states inside the bandgap. In this context, “bands” are typically assumed to consist of delocalized states, but Fig. 2(b) shows that some states in disordered solids are, in fact, highly localized. The IPR of a system is large for defect states and shrinks for states in the band continuum, thus providing a measure of the extent to which a state acts as a defect. Using this information, we define an alternative bandgap where only states below a certain IPR threshold are allowed when taking the highest occupied and lowest unoccupied states. A high IPR cutoff (or no cutoff in the case of unlimited IPRs) yields the smallest gaps, whereas a low cutoff considers only continuous conduction and valence band states and results in the largest gaps. In the ground state structure, the IPR at the VBM and CBM are 1.54 and 1.29, respectively. IPR limits of 5 and 10 are used in Fig. 3 to give mid- and low- IPR cutoff examples. Providing too low of a cutoff excludes valid continuum states, giving unphysical bandgaps larger than that of the ground state structure. In Fig. 3, these bandgaps are plotted over the full range of the LRO (0 < η < 1) and SRO (0.375 < Zn2Ge2 < 1) parameters, and amber/green bands are drawn at their relevant energies for the comparison of calculated bandgaps in this region.
Interpreting bandgaps both as-calculated and after excluding states with an IPR above a certain threshold allows us to determine the contribution of those localized states to the electronic structure and where those states cluster in energy. In Fig. 3, the traditional, unlimited IPR definition shows how small fractions of defects drastically reduce the bandgap, while ignoring highly localized states shows that this significant change is largely—but not exclusively—due to these isolated defects. In the bandgap interpretations that do not consider highly localized states (e.g., IPR 10 and IPR 5), the bandgap still decreases by roughly 2 eV, but this reduction occurs through continuous bands in energy in disordered configurations rather than through defect states in structures with near-perfect ordering.
Taking bandgaps as the difference between the highest occupied and lowest unoccupied states yields a change from 3.5 to 2.0 eV with only a drop in the LRO parameter from η = 1.00 to η = 0.94. For low order parameters, the difference between the unlimited gaps and gaps excluding states with IPR 5 is again significant. The IPR limitation places the gap in the amber/green region of the visible spectrum with some trend toward higher bandgap with a higher SRO parameter according to Fig. 3(b). For largely disordered structures, this sizable transition creates very small bandgaps less than 1.6 eV for η ≤ 0.20, a much larger change in bandgap with ordering than predicted for the more researched Cu2ZnSnS (CZTS) system.59,60 When these structures are fully random (i.e., at infinite effective temperature), the bandgaps consistently drop to zero for the unlimited definition and are undefined for the cases with a limited IPR.
Although the supercell size of structures used for the present analysis is large for typical density functional theory (DFT) calculations (and especially so for bandgap corrected electronic structure calculations), it is still limited in capturing the statistics of configurational disorder, particularly in the dilute defect limit (low effective temperature). The localization of these states in structures with small fractions of defects and the impact of the defects’ spatial proximity were studied by Skachkov et al.21 These mid-gap states isolated in energy are generally accepted as detrimental to optoelectronic properties by decreasing the quantity of carriers collected, reducing the lifetimes of those carriers or inhibiting the radiation of a photon.61,62 However, at higher defect concentrations, where defect bands widen in energy as in largely disordered supercells in Fig. 2(b), conflicting theories exist as to the impact of defect density on the relative rate of non-radiative recombination.
In one theory, Luque et al. directly connected non-radiative Shockley–Read–Hall recombination to the localization caused by a low density or irregularity of impurities within a lattice, but they observed a reduction in non-radiative recombination as the defect density increases above a certain threshold.63 In this theory, lower densities of defects correspond to more spatially isolated and therefore localized defects, and spatially connected states exhibit more benign electronic properties.64 However, gap states in Fig. 2(b) show a comparable maximum IPR for every structure other than the ground state, independent of the degree of disorder of those configurations. These comparable degrees of localization independent of defect density align better with prevalent studies in the InGaN2 system. In InGaN2 and similar III–V alloys, higher defect densities and deep gap states cause higher rates of non-radiative recombination.65–67 Based on the high degree of localization in disordered configurations, the latter theory of higher defect densities negatively impacting radiative recombination applies to ZnGeN2 as well.
In order to address the non-radiative energy loss in disordered ZnGeN2, we performed calculations of the electron and hole capture processes. These calculations require self-consistent hybrid functional calculations to overcome the delocalization error of standard DFT.68,69 For this purpose, we used a 128 atom cell with one distant ZnGe–GeZn antisite pair as an exemplary configuration. The non-radiative energy loss (Stokes shift) during optical recombination corresponds to the atomic relaxation energies after carrier capture and recombination, which can be represented in a configuration coordinate (Franck–Condon) diagram.70 For the hole trapping, we obtain a relaxation energy of −0.29 eV after localization at an N site adjacent to the ZnGe anti-site and −0.34 eV for the relaxation back to the initial state after recombination with an electron. The sum of these energies is converted to heat and reduces the photon energy relative to the HOMO–LUMO gap. For this specific anti-site pair configuration, the electron localization at the GeZn site is energetically unfavorable by +0.38 eV compared to the delocalized conduction band like state, making electron capture unlikely. It is possible that in a more strongly disordered state, electron capture becomes exothermic as well. Thus, we expect a non-radiative loss of at least 0.6 eV per electron–hole recombination event from the hole trapping and potentially a contribution of similar magnitude from electron trapping in highly disordered materials.
IV. CONCLUSION
In this work, we examined the effect of cation disorder on the density and localization of electronic states in ZnGeN2. The bandgap of the system decreases significantly with the decreasing degree of order from 3.5 eV for an ordered system to effectively 0 eV for strongly disordered systems. From non-dilute, disordered, but non-random structures with a significant degree of SRO, we calculated the DOS and the IPR of the material as a function of LRO and SRO, extracting bandgaps as a function of both order parameters. We discussed the problem of defining the bandgap in disordered materials and the ambiguities associated with the differentiation between defects and band states. While the topic deserves further discussion in the community, we used the IPR as a variable threshold for this separation.
Localized, occupied states are caused by N with Zn-rich coordination. Isolated conduction band states attributed to cations are much less localized and occur independent of the cations’ second shell coordination environment. Our findings in ZnGeN2 show a strong tendency for localized defect states to form at all order parameters other than the ground state, which could detrimentally impact carrier recombination in a ZnGeN2-based device. This result indicates that SRO is important for inhibiting carrier localization, which corroborates recent findings in ZnSnN2:ZnO with perfect SRO.56 Whereas in ZnSnN2:ZnO, this perfect SRO phase can exist with long-range disorder, the direct relationship between SRO and LRO in ZnGeN2 means that LRO is a necessary, although not sufficient, requirement to minimize localization and non-radiative recombination in this system.
V. ELECTRONIC STRUCTURE CALCULATION METHODS
The data presented in this article utilize the atomic configurations of Ref. 20 to predict the electronic structure properties as a function of the order parameter and effective temperature. In Fig. 1, the electronic structure and density of states of ZnGeN2 were calculated in density functional theory (DFT) with band edge corrections to match the bandgap from GW calculations (3.63 eV9) and plotted using pymatgen.71 To relax the lattice parameters, volume, and ion positions of the 1024 atom configurations from MC simulations, we used the generalized gradient approximation (GGA), Perdew–Burke–Ernzerhof (PBE)72 type. Due to the large size of the supercells, a single k-point (1 × 1 × 1 mesh) sufficed for the relaxation using the gamma-point-only version of the Vienna Ab initio Simulation Package (VASP). These calculations rely on Kresse–Joubert projector augmented wave datasets with pseudopotentials from VASP version 4.6 (i.e., Ge_d, N_s, and Zn). The soft pseudopotential, N_s, allows for a low energy cutoff of 380 eV that benefits the feasibility of calculations using large supercells.73 Each supercell achieved convergence when the difference in energy between steps of the ionic relaxation dropped below 10−5 eV and forces below 0.02 eV Å–1 on each atom. These calculations used a Coulomb potential, U − J = 6 eV, applied to the Zn d orbital following the Dudarev approach.74
The large size of the supercells precludes the possibility of applying the GW approach75 for each structure. In place of GW methods, the DOS and IPR of relaxed structures were calculated using a parameterized single-shot hybrid functional with an additional Coulomb potential V (SSH+V) of −1.5 eV (comparable to a U parameter of +3 eV) applied to Zn d orbitals.76 The single-shot functional avoids the computationally expensive iteration to self-consistency of the hybrid functional Hamiltonian by holding the initial wavefunctions of the DFT+U calculation fixed.76 This non-self-consistent approach closely reproduces the GW electronic structure for Zn–IV–N2 nitrides and nitride-oxide alloys.77 However, since the hybrid functional Hamiltonian depends on the band occupancies, ambiguities occur when the bandgap incorrectly closes in the underlying DFT calculation. In this case, we perform a second SSH+V iteration with updated band occupancies. This extra step, which could introduce some additional uncertainty in the electronic structure, was needed for most 5000 K configurations. The Hartree–Fock exchange mixing parameter of the SSH+V functional was set to 0.19 and screening parameter to 0 for all structures. These parameters were fitted to replicate the total DOS produced by GW calculations for the ground state structure with a bandgap of 3.5 eV calculated in SSH+V. The same hybrid functional and V parameters were also used for the self-consistent calculation for non-radiative energy losses due to electron and hole trapping.
To be able to plot the DOS and IPR of various disordered configurations on a common energy axis (cf. Fig. 2), a potential reference needs to be defined. The bare band energies (defined relative to the average electrostatic potential) are rather sensitive to changes in the cell volume. The volume of the disordered supercells increases by up to 0.9% compared to the ground state for strongly disordered cells (Teff = 5000 K) and by about 2% for fully random cation disorder. To eliminate the shift of the band energies with cell volume, we performed a sequence of ordered ZnGeN2 calculations with varying cell volumes. Using the potential alignment approach of Ref. 78 and linear regression, we obtained the potential shift ΔVpot = −85 meV × ΔVvol, where ΔVvol is the volume change in percent. This offset is subtracted before plotting the electronic structure in Fig. 2.
ACKNOWLEDGMENTS
This work was supported by the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308 with the Alliance for Sustainable Energy, LLC, the manager and operator of the National Renewable Energy Laboratory. Funding was provided by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Buildings Technologies Office. This work used high-performance computing resources located at the NREL and sponsored by the Office of Energy Efficiency and Renewable Energy. The views expressed in the paper do not necessarily represent the views of the DOE or the U.S. government. The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for government purposes.
AUTHOR DECLARATIONS
Conflict of Interest
The authors declare no conflict of interest.
DATA AVAILABILITY
The data that support the findings of this study are available from the corresponding author upon reasonable request.