Su-Hyun Yooa,
Aron Walsh*b,
David O. Scanlonc and
Aloysius Soon*ad
aGlobal E3 Institute, Department of Materials Science and Engineering, Yonsei University, Seoul 120-749, Korea. E-mail: aloysius.soon@yonsei.ac.kr
bCentre for Sustainable Chemical Technologies, Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK. E-mail: a.walsh@bath.ac.uk
cKathleen Lonsdale Materials Chemistry, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
dSchool of Physics, The University of Sydney, NSW 2006, Australia
First published on 3rd December 2013
Zinc nitride (Zn3N2) is a promising candidate for optoelectronics applications due to its high electron mobility and high electrical conductivity. It is also thought that Zn3N2 can be used as a starting material to achieve p-type conductivity in ZnO-based oxide homojunctions. In this work, the electronic structure of bulk Zn3N2 is studied using density-functional theory (DFT) with different approximations to the exchange-correlation functional, ranging from (semi-)local functionals to the quasiparticle G0W0 approach. We predict a bandgap in the range of 0.9–1.2 eV, reconciling the scattered values reported in experiments, and a remarkably low work function (ionisation potential) of 4.2 eV for the (111) surface.
In this aspect, zinc oxide (ZnO) is often considered as the choice material for the making of the oxide p–n homojunction, especially for ultraviolet UV/blue optoelectronic applications due to its wide bandgap energy of 3.437 eV (at 2 K) and large exciton binding energy, 60 meV.1 Unfortunately, due to the fact that the ZnO exhibits naturally strong n-type conductivity under the influence of native defects or adventitious donors, alternative ways to achieve p-type conductivity in ZnO are currently pursued by many researchers hoping to understand the fundamental physics to design and achieve robust p-type conductivity in ZnO.2–5
Recently, it has been proposed that a promising route to fabricate ZnO p–n homojunctions could be the transformation of zinc nitride (Zn3N2) into p-type ZnO by thermal treatment in oxidizing ambient conditions.6–8 The interest in Zn3N2 is also due to its intrinsic high electron mobility of 100 cm2 V−1 s−1 and as well as a high carrier concentration, 1020 cm−3.9 The low cost involved in the production of Zn3N2 also makes it an ideal choice for mass production in electronic systems. Both the binary zinc nitride system and the ternary zinc oxynitride mixture are composed of earth abundant elements, which makes them of further interest for solar energy harvesting. Control of the optical response, by varying the composition, could offer a route to low-cost, high-efficiency solar cells.
Unfortunately, as compared to ZnO, the fundamental bulk, surface and interface properties of Zn3N2 are poorly understood, possibly be due to the fact that Zn3N2 oxidizes rather easily under ambient conditions. Given the difficulty to study the properties of pristine Zn3N2, the true value of its intrinsic bandgap energy is still a matter of controversy, and reported values range from 1.0 to 3.2 eV.9–13 This current lack of understanding clearly hinders the further development of ZnO-based p–n homojunctions in devices.
In this letter, using density-functional theory (DFT), we will show that choice of the exchange–correlation (xc) functional is crucial in providing a consistent description of the electronic structure of Zn3N2. Semi-local functionals severely underestimate the bandgap energy and augmenting them with the Hubbard U model does not improve this shortcoming, while hybrid density-functionals provide the most consistent picture when compared to the many-body GW theory.
Table 1 contains the calculated equilibrium lattice constant (neglecting zero-point vibrations) and the direct bandgap energy of Zn3N2 using various levels of approximations to the exchange-correlation density functional, as well as GW theory, in comparison to available experimental values.
The structural parameters calculated using PBE + U (9.692 Å), PBE0 (9.767 Å) and HSE06 (9.756 Å) provide the best agreement with the reported experimental value of 9.769 Å. The LDA and LDA + U values are clearly underestimated (up to 3.6%), while PBE overestimates it by about 1%. These are generally in line with analogous studies of other nitride materials.29–33 Thus, for the TB-mBJ and G0W0 calculations, structural parameters of bulk Zn3N2 were fixed to the values determined using HSE06 as those methods cannot currently be used for lattice optimisations.
Turning to the electronic structure of Zn3N2, we find that the values of the bandgap energy are just as scattered as those reported from experiments. Recent studies have shown that G0W0 generally has quantitative accuracy when describing the bandgaps of most (non-transition metal) semiconductors.34–37 In this sense, the calculated G0W0 bandgap energy value will be used as the benchmark and is found to be 1.15 eV. The calculations using LDA and PBE yield virtually a zero bandgap, with their Hubbard U counterparts improves it by about less than 0.5 eV, but still largely underestimated as compared to the G0W0 value. Both the HSE06 and PBE0 hybrid density-functionals further improve the bandgap energy with PBE0 overestimating it by about 0.5 eV. Interestingly, the recent meta-GGA functional, TB-mBJ gives a bandgap energy value of 0.95 eV which agrees the best with the G0W0 bandgap energy value. However, the band gap is just one relative energy difference from the full band structure and this agreement might not provide a fully consistent picture to the electronic structure of bulk Zn3N2. To illustrate this, we calculated and plot the electronic bandstructures of bulk Zn3N2 obtained by LDA, TB-mBJ, and HSE06 in Fig. 2.
One challenge for electronic structure techniques applied to ZnO and related semiconductors is in the treatment of shallow core d states.38 Focusing on the relative position of the localized Zn 3d states in the sub-valence band (near −6 to −8 eV), it becomes apparent that the meta-GGA still fails to correct the level of Zn 3d states as predicted by the LDA (i.e. still too high with respect to the valence band maximum),39,40 albeit bringing the bandgap energy value closest to that by the G0W0 approach.41 On the other hand, using HSE06 which includes a percentage of the exact non-local Fock exchange, then reconciles the correct placement of the Zn 3d states.
Thus, we now proceed to further study the electronic structure of bulk Zn3N2 using the HSE06 density-functional with confidence that this level of theory will provide a balanced and consistent description of its electronic structure.
In Fig. 3a, we analyze the electronic density-of-states in three regions: (i) the sub-valence band (−9 to −6.5 eV), (ii) the upper-valence band (−6.5 to 0 eV), and (iii) the conduction band (above 0.86 eV). The sub-valence band finds a large contribution from the highly localized Zn 3d states, while the overlapping of the Zn 3d and N 2p states can be seen in the upper-valence band with the N 2p states more pronounced nearer the top of the valence band. The conduction band comprises of the empty Zn 4s and N 2s states. This corroborates well with the partial electron densities plotted for the states near the band edges in Fig. 3b and c.
Given that the physics of ZnO-based p–n homojunctions is a major research goal, as a first-step, it will be important to understand the relative band alignment of pristine ZnO and Zn3N2. In Fig. 4, we plot the natural valence band alignment based on our calculated ionisation potential of Zn3N2 and the previously calculated value for ZnO using the quantum mechanics/molecular mechanics (QM/MM) approach.42 This QM/MM approach has been shown to produce very accurate ionization potentials for materials, as it has direct access to the vacuum level.43 We calculated the ionisation potential for Zn3N2 using the slab model, adopting the standard approach as indicated by Van de Walle et al.44 First, a surface work function is determined by aligning the electronic band structure with respect to the vacuum level determined by a slab calculation of the stoichiometric (111) surface termination, which has no residual dipoles. The slab consisted of four quadrupolar layers (160 atoms). The natural band offset is thus the offset of the bulk ionisation potentials for each material, relative to the vacuum level. This alignment is free of any strain affects experienced at a true interface, and so represents a “natural band alignment” that would be seen between two unstrained materials.
The value of the HSE06-derived work function of Zn3N2 is 4.2 eV, which is aligned to the bulk ionisation potential using the core N 2p core level in the centre of the slab. The work function is remarkably low, e.g. for the photocatalytic oxide TiO2 has a value close to 8 eV.43 The natural value of 4.2 eV, places the valence band of Zn3N2 3.5 eV above that of ZnO, which results in a Type-IIB (misaligned) band offset.45 While it is generally expected that the valence band of the nitride would be higher in energy than an oxide due to the relative binding energy of the N 2p and O 2p atomic energy levels, this effect is exaggerated due to unusual octahedral coordination of N in Zn3N2 in contrast to the regular tetrahedral environments found for III–V semiconductors. The value is comparable to the new class of nitride electrode materials, which have work functions as low as 2.6 eV.46,47 We emphasise that the predicted natural band offset is representative of the two isolated systems, while for a synthesised heterostructure, interfacial effects (structural, compositional and electrostatic changes) could alter the Type-IIB behaviour.
Functional | Ueff (in eV) | Lattice constant | Zn–N1 | Zna–N2 | Znb–N2 | Znc–N2 |
---|---|---|---|---|---|---|
PBE + U | 0 | 9.857 | 2.144 | 2.015 | 2.065 | 2.329 |
(0.90) | (0.52) | (0.95) | (−0.15) | (2.96) | ||
1 | 9.830 | 2.137 | 2.011 | 2.065 | 2.312 | |
(0.62) | (0.19) | (0.75) | (−0.15) | (2.21) | ||
2 | 9.800 | 2.129 | 2.007 | 2.063 | 2.296 | |
(0.32) | (−0.19) | (0.55) | (−0.24) | (1.50) | ||
3 | 9.768 | 2.121 | 2.002 | 2.061 | 2.278 | |
(−0.01) | (−0.56) | (0.30) | (−0.34) | (0.71) | ||
4 | 9.733 | 2.112 | 1.997 | 2.058 | 2.262 | |
(−0.37) | (−0.98) | (0.05) | (−0.48) | (0.00) | ||
5 | 9.695 | 2.103 | 1.991 | 2.054 | 2.244 | |
(−0.76) | (−1.41) | (−0.25) | (−0.68) | (−0.80) | ||
6 | 9.653 | 2.093 | 1.984 | 2.049 | 2.227 | |
(−1.19) | (−1.88) | (−0.60) | (−0.92) | (−1.55) | ||
7 | 9.605 | 2.081 | 1.975 | 2.043 | 2.209 | |
(−1.68) | (−2.44) | (−1.05) | (−1.21) | (−2.34) | ||
Exp.28 | 9.769 | 2.133 | 1.996 | 2.068 | 2.262 |
Fig. 5 (Color online) Total (TDOS) and projected (PDOS) density of states for Zn3N2 calculated by HSE06 (as a benchmark) and PBE + U with different Ueff values (ranging from 0 to 7 eV). The gray shade indicates TDOS obtained using the HSE06 functional, the red line TDOS using the PBE + U approach, and the blue dotted line PDOS of Zn 3d states using the PBE + U approach. The valence band edge is set to 0 eV. The appropriate Ueff is then determined as 5 eV, matching the sub-valence band (near −8 eV) of HSE06 and PBE + U. We find this value of Ueff = 5 eV in close agreement with other Zn-based compounds, e.g. ZnO.48–50 |
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