research papers
Re-refinement of the structure of the planar hexagonal phase of ZnO nanocrystals
aInternational Centre for Quantum and Molecular Structures and Department of Physics, Shanghai University, Shanghai 200444, People's Republic of China, bMaterials Genome Institute, Shanghai University, Shanghai, 200444, People's Republic of China, cUniversity of Technology Sydney, School of Mathematical and Physical Sciences, Ultimo, New South Wales 2007, Australia, and dDepartment of Materials Science, University of Milan-Bicocca, Via Roberto Cozzi 55, Milan, 20125, Italy
*Correspondence e-mail: [email protected], [email protected]
The planar hexagonal phase of ZnO, known as h-ZnO, g-ZnO, α-ZnO, the Bk structure, the 5-5 phase, the α-BN phase, etc., has P63/mmc symmetry and is implicated in ferroelectric switching mechanisms for wurtzite-ZnO. It is well known in thin films on substrates and can be stabilized by external pressure, but its possible existence is critical in high-purity nanocrystals under ambient conditions. Indeed, a has been reported, but this work remains controversial as first-principles calculations predict very different structural properties. Herein, the original experimental data is re-refined, through phase-shift determination and Morlet wavelet transformation, that simulations associate with a P63/mmc structure with unit-cell parameters at room temperature of a = 3.45±0.02 Å and c = 4.46±0.02 Å. These values are 0.35 Å and 0.80 Å, respectively, larger than those previously reported and in good agreement with computational predictions. This confirms that ZnO nanocrystals can form a metastable planar hexagonal phase. It provides key information pertaining to polarization switching in ZnO, its derivatives, and general wurtzite-structured materials.
CCDC reference: 2545675
1. Introduction
Lizandara Pueyo et al. (2010
) have reported nanocrystals of ZnO with purity in excess of 99% that show P63/mmc symmetry [Fig. 1
(a)]. They showed them to be metastable, converting to the wurtzite (P63mc) phase w-ZnO [Fig. 1
(b)] at temperatures in excess of 200°C. Qualitative evidence presented to support the P63/mmc symmetry included: absorption spectroscopy, Raman spectroscopy, powder X-ray diffraction (PXRD), X-ray absorption near-edge spectra (XANES), extended X-ray absorption fine structure (EXAFS), and high-resolution (HRTEM). They also performed quantitative structural analysis of the data to determine the unit-cell parameters and interatomic distances. These results were then shown to be consistent with the PXRD data.
| | Figure 1 Structures of: (a) h-ZnO (low-volume observed trigonal bipyramidal structure), (b) w-ZnO (high-volume observed tetrahedral structure), and (c) h-ZnO depicted at the observed unit-cell parameters of w-ZnO (high-volume hypothetical h-BN structure). |
In their detailed analysis, Lizandara Pueyo et al. (2010
)] revealed the structure to display trigonal bipyramidal coordination for both the Zn and O atoms [Fig. 1
(a)], with in-plane Zn–O bond distances of 1.791 Å and out-of-plane distances of 1.928 Å, leading to hexagonal unit-cell parameters a = b = 3.099 Å and c = 3.858 Å (Table 1
). Because of the trigonal bipyramidal coordination, this phase is often called the 5/5 or 5-5 phase (Lizandara Pueyo et al., 2010
; Zagorac et al., 2012
). Notably, the reported interplanar spacing is extremely contracted compared to the value of 5.2057 Å for w-ZnO [Fig. 1
(b)] (Schreyer et al., 2014
). If the P63/mmc phase had the same interlayer spacing as found in w-ZnO, then the ZnO planes would be separated from each other by van der Waals bonding distances, and the coordination of the Zn and O atoms would be regarded as being trigonal planar, akin to the structure of hexagonal boron nitride [h-BN, Fig. 1
(c)]. It is therefore also common to label the P63/mmc phase as either α-BN, h-ZnO, or α-MgO (Zagorac et al., 2012
), as well as graphitic-ZnO (Kulkarni et al., 2005
), HX (Kulkarni et al., 2006
), gZnO (Yadav et al., 2021
), α-ZnO (Wei et al., 2011
), and BN-ZnO (Zhang & Schleife, 2018
), as well as the Bk structure (Molepo & Joubert, 2011
). Accurate structural measurements, capable of differentiating between the structures portrayed in Figs. 1
(a) and 1
(c), are therefore critical to the understanding of the properties of h-ZnO.
| ||||||||||||||||||||||||||||||||||||||||||
Of significance, w-ZnO [Fig. 1
(b)] is a useful high-bandgap high-polarization material but is not regarded as being a ferroelectric as, to date, no process has been found that can interconvert its polarization states. In the proposed concerted mechanism for ferroelectric switching of w-ZnO, the O atoms translate vertically from one ferroelectric form [Fig. 1
(b)] to form h-ZnO [Fig. 1
(a)], on route to the other ferroelectric form. Typically, h-ZnO is considered as the high-energy transition state that controls this process, and hence the claim (Lizandara Pueyo et al., 2010
) that freestanding h-ZnO nanocrystals can exist in a metastable phase challenges current understanding. As doping of ZnO by Mg has recently been shown to facilitate polarization switching (Ferri et al., 2021
) through a related concerted mechanism (Huang et al., 2022
), the nature of h-ZnO becomes significant to the basic understanding of ferroelectric switching in these, and indeed all, wurtzite-structured materials (Zagorac et al., 2012
; Zagorac et al., 2013
; Adhikari & Fu, 2019
; Huang et al., 2022
; Ferri et al., 2021
).
To date, there has not been general acceptance of h-ZnO as a metastable intermediate in the concerted ferroelectric switching of w-ZnO. Firstly, calculations have predicted h-ZnO in infinite crystals to form a transition state along the polarization-switching pathway (Kim, 2012
), with stabilization of h-ZnO predicted to occur only at high applied pressures (Molepo & Joubert, 2011
; Su et al., 2015
; Wang et al., 2015
; Nakamura et al., 2016
; Zhang & Schleife, 2018
; Wang et al., 2022
; Adnan et al., 2025
).
Although such calculations may not be reliable, more significant issues arise concerning the reported structure (Lizandara Pueyo et al., 2010
) of h-ZnO. From the qualitative perspective, the reported Zn–O separation of 1.791 Å is extremely short as Zn–O bond lengths usually exceed 1.9 Å. Even though ZnO is structurally flexible and can `tolerate huge distance variations' (Fischer et al., 2023
), this result does not appear to be reasonable. From the quantitative perspective, first-principles calculations, using density functional theory (DFT) (Rakshit & Mahadevan, 2011
; Kim, 2012
; Rakshit & Mahadevan, 2012
; Molepo & Joubert, 2011
; Su et al., 2015
; Zhang & Schleife, 2018
; Zagorac et al., 2014
) or Hartree–Fock (HF) theory (Zagorac et al., 2014
), do not support such a bond-length contraction. They concurrently predict much larger unit-cell parameters of a ∼ 3.4–3.5 Å instead of 3.099 Å, and c ∼ 4.4–4.6 Å instead of 3.858 Å, see Table 1
. As a result of these controversies, the very existence of a metastable h-ZnO phase of high-purity ZnO under ambient conditions remains in doubt.
Layered structures containing h-ZnO, mostly supported on surfaces, are well established experimentally (Tusche et al., 2007
; Yadav et al., 2021
), with their existence supported by DFT calculations (Claeyssens et al., 2005
; Tu & Hu, 2006
; Zhang & Huang, 2007
; Das et al., 2014
; Freeman et al., 2006
). Such structures are important in their own right, with applications including hydrogen storage (Si et al., 2011
) and thermovoltaics (Li et al., 2013
), but are only peripherally relevant to bulk w-ZnO polarization switching. Concerning polarization switching, of note, the interlayer spacing in the bulk limit was predicted (Claeyssens et al., 2005
) by PW91 (Claeyssens et al., 2005
) calculations to be 4.10 Å, with initially observed double-interlayer spacings being of order 4.2–4.8 Å (Tusche et al., 2007
) and modern measurements indicating 4.20 Å (Yadav et al., 2021
). Molecular dynamics simulations using empirical force fields also support the formation of h-ZnO in nanostructures (Kulkarni et al., 2005
; Kulkarni et al., 2006
).
Despite the large structural differences between different observations and most predictions, strong support for the experimental identification of nanocrystalline h-ZnO comes from comparison of observed and calculated spectroscopic properties. The experiments of Lizandara Pueyo et al. (2010
) match both GW/Bethe–Salpeter (Zhang & Schleife, 2018
; Kang et al., 2019
) and time-dependent DFT (TDDFT) (Kang et al., 2019
) electronic spectral simulations, as well as Raman spectral simulations (Su et al., 2015
).
Lizandara Pueyo et al. (2010
) originally reported challenges to the interpretation of the critical EXAFS data used in their quantitative analysis. They reported in their supporting information two possible interpretations, both of which are indicated in Table 1
and can be seen to be significantly different. We pursue this feature, to obtain an unambiguous structure by accurately determining the phase shift, Morlet wavelet transformation (WT), and simulations of thermal structural effects.
2. Methods
First, the spectrum was extrapolated using a pseudo-Voigt function (Limandri et al., 2008
). Then the phase shift was determined using the method of Lee et al. (Lee & Beni, 1977
), and the pair distribution function (PDF) determined. Morlet WT was then used to establish correlations between peaks in real and reciprocal spaces (Timoshenko & Kuzmin, 2009
) to provide an authoritative peak assignment. The obtained structure was then interpreted using molecular dynamics simulations at T = 293 K and fixed volume, using the GRACE-FS-OMAT force field (Bochkarev et al., 2024
) in LAMMPS (Thompson et al., 2022
), with the anticipated PDF peaks simulated using the Larch package (Newville, 2013
). The MD time step used was 1 fs, initial trajectories at constant energy and volume ran for 10 ps, then final trajectories ran for 100 ps. This allows the structure to be estimated at 0 K for easy comparison with most computational predictions.
3. Results
The original spectrum (Lizandara Pueyo et al., 2010
) was digitized and is shown in Fig. 2
, wherein a pseudo-Voigt function (Limandri et al., 2008
) is used to extrapolate the data into the unobserved part of the spectrum below k = 3 Å−1, as well as to reduce noise at high k. Critical to the data analysis is the determination of the phase shift that is induced by X-ray absorption (Lee & Beni, 1977
; Lee et al., 1981
), a process that is traditionally performed empirically. Instead, following Lee et al. (Lee & Beni, 1977
), the extrapolated EXAFS data is forward Fourier transformed, weighted by a windowing function, and then backward Fourier transformed (Fig. 2
). In supporting information Figs. S1 and S2, various possible windowing functions are considered, and the Kaiser–Bessel function was selected for this purpose.
| Figure 2 The observed k-weighted EXAFS spectrum of h-ZnO (Lizandara Pueyo et al., 2010 |
This Fourier transformation process both reduces noise and allows the phase shift to be determined from the phase function ϕ(k), where
and the imaginary and real parts of EXAFS are calculated from the backward Fourier transform. The impact of the phase shift is to translate the perceived peaks in the PDF are by (Lee & Beni, 1977
; Lee et al., 1981
)
In Fig. S3, the phase function is plotted and shown to have a linear variation with k, allowing a positional shift of ΔR = 0.613 Å to be determined from equation (2)
. This shift should be insensitive to phase and environment, and is consistent with values observed for w-ZnO variants of 0.6–0.8 Å (Neamtu et al., 2010
).
The final PDF resulting from this process (Lee & Beni, 1977
; Lee et al., 1981
) is shown in Fig. 3
. Its peaks in real space indicate interatomic distances, with key values labelled r1–r4, but these features are also contaminated with backscattering contributions arising from interatomic interactions from within different coordination shells. To identify the primary origins of these features and establish an authoritative peak assignment, Morlet WT analysis was performed on the Zn K-edge EXAFS data (Timoshenko & Kuzmin, 2009
). During this procedure, the wavelet parameters η = 8 and σ = 1 were used to provide a reasonable balance of resolution between k-space and real space (Timoshenko & Kuzmin, 2009
). The results are shown in Fig. 4
, which provides a correlation between the peaks in reciprocal space (Fig. 2
) with those in real space (Fig. 3
).
| Figure 3 The real (blue) and the total (green) PDF components obtained from the EXAFS data for h-ZnO, after correction for the phase shift. The red and black lines indicating key interatomic distances r1–r4. |
| Figure 4 The central image shows the wavelet-transformed EXAFS spectrum of h-ZnO, which correlates the EXAFS signal k2χ(k) in reciprocal space k (top, Fig. 2 |
The WT contour plot in Fig. 4
shows a concentrated intensity distribution in the region labelled A (R ∼ 1.9–2.3 Å and k ∼ 3–7 Å−1). In this region, the contour plot mostly exhibits a smooth elliptical distribution, without significant modulation, that is consistent with the simple two-body scattering path characteristics of oxygen as a light backscattering atom (Z = 8). Region A is therefore associated with Zn–O nearest-neighbour scattering and hence the peaks at distances r1 and r2 in Fig. 3
correspond to Zn–O distances. From the observed intensities, the first-shell is estimated to be 5.03 ± 0.1 (Fig. S2), as expected for the trigonal-bipyramidal structure of h-ZnO.
In contrast, in the region labelled B (R ∼ 3.1–3.5 Å and k = 3–9 Å−1) in Fig. 4
, a pronounced intensity modulation in k-space is observed, with a primary region spanning k ∼ 3–6 Å−1 with a hole in the middle, and a secondary peak at k ∼ 9 Å−1. This is consistent with the characteristics of Zn as a heavy backscattering atom (Z = 30) and indicates that this region contains superimposed contributions from Zn–Zn single scattering and Zn–O–Zn three-atom multiple scattering paths. Hence the peaks at distances r3 and r4 in Fig. 3
correspond to Zn–Zn separations.
This interpretation leads to the identification of the peaks highlighted in Fig. 3
as: that at r1 = 1.915 Å corresponds to the in-plane Zn–O distance, that at r2 = 2.23 Å corresponds to the interlayer Zn–O distance (half of the unit-cell parameter c), that at r3 = 3.05 Å corresponds to the interlayer Zn–Zn distance, and that at r4 = 3.45 Å corresponds to the in-plane Zn–Zn distance (and hence the unit-cell parameter a). These results are broadly consistent with expectations based on the computationally optimized structures listed in Table 1
and differ significantly from the options proposed originally (Lizandara Pueyo et al., 2010
).
Four unique interatomic distances are thus determined, whereas only two features, the unit-cell parameter lengths a = b and c determine structures of P63/mmc symmetry. Therefore two relationships must be obeyed in order to confirm this structure, as detailed in Table 2
. The expected relationships are found to be in error by up to 7%, a considerable value that challenges the symmetry assignment. To understand this, molecular dynamics simulations were performed at T = 293 K and constant volume using the GRACE-FS-OMAT force field (Bochkarev et al., 2024
) using LAMMPS (Thompson et al., 2022
). Using unit-cell parameters of a = 3.45 Å and c = 4.46 Å, these simulations, without inclusion of multiple-scattering events, yield the real component of the PDF χ(R) as calculated (Newville, 2013
), and it is shown in Fig. S3, where it is in good agreement with the observed data. From this, values for r1–r4 were extracted and analysed in Table 2
. These results are in good agreement with those observed, indicating that thermal motion is responsible for the apparent observed lowering of symmetry from P63/mmc. The structure is therefore confirmed to be h-ZnO.
| ||||||||||||||||||
To robustly estimate systematic uncertainties, we varied the shape parameter β in the Kaiser–Bessel windowing function from 3 to 15 (a range chosen to fully encompass the mathematical trade-off between spatial resolution and spectral leakage), and tested six alternative windowing functions (Rectangular, Hamming, Norton–Beer, Gaussian, Right tail, and Left tail), see Figs. S1 and S2. The standard deviation of the structural parameters derived from these comprehensive variations, combined with uncertainties in the effects of thermal motion, yields estimated uncertainties for the structural analysis. Uncertainties with respect to the determination of the phase shift and reading the peaks in Fig. 3
are small in comparison to the effect of these method variations. This analysis results in the room-temperature unit-cell parameters for h-ZnO of a = 3.45 ± 0.02 Å and c = 4.46 ± 0.02 Å (Table 1
). These results are in quantitative agreement with the computed structures.
A cif file describing the re-refined structure is provided as supporting information. These results confirm that, for the synthesized nanocrystals (Lizandara Pueyo et al., 2010
), h-ZnO presents as a metastable phase and hence is not a transition state along the pathway for concerted ferroelectric switching of w-ZnO.
4. Conclusions
The long-standing controversy concerning the identification and properties of the h-ZnO nanocrystalline phase has been resolved. Under suitable conditions, a metastable phase can be isolated that has properties similar to those observed for nanolayered ZnO structures stabilized by substrate surfaces.
Heating of the observed nanocrystals led to formation of a wurtzite structure (Lizandara Pueyo et al., 2010
). If an electric field of sufficient magnitude could be applied to these crystals, then the crystals would surmount a reaction barrier and convert back to h-ZnO; this would remain metastable after the applied field was removed. Further increasing of the field strength could then lead to ferroelectric switching, as has been observed for Zn0.5Mg0.5O (Huang et al., 2022
).
It remains to be established if this result applies only to certain nanocrystals or else is expected to be general for all ZnO crystals. Previous computational approaches have indicated that the result affirmed here for the nanocrystals studied does not apply to infinite crystals. In future work (Zhang et al., 2026
), these computational results need to be tested for robustness. In addition, calculations need to be applied to model the synthesized nanocrystals (Lizandara Pueyo et al., 2010
) in their external environment. Such studies are relevant to the understanding of concerted polarization switching in all wurtzite-structured materials.
Supporting information
CCDC reference: 2545675
optimized file. DOI: https://doi.org/10.1107/S2052520626003860/je5065sup1.cif
Supporting information file. DOI: https://doi.org/10.1107/S2052520626003860/je5065sup2.pdf
| OZn | Z = 2 |
| Mr = 81.38 | Cell parameters from 100 reflections |
| Hexagonal, P63/mmc | θ = 2.0–80.0° |
| a = 3.45 (2) Å | T = 293 K |
| c = 4.46 (2) Å | Nanocrystal, colorless |
| V = 46.0 (6) Å3 |
| Theoretical diffractometer | θmax = 80.0°, θmin = 2.0° |
| Theoretical scans | h = → |
| 100 measured reflections | k = → |
| Rint = 0.0000 | l = → |
| x | y | z | Uiso*/Ueq | ||
| Zn1 | 0.33333 | 0.66667 | 0.25000 | 0.010 | |
| O1 | 0.33333 | 0.66667 | 0.75000 | 0.010 |
| U11 | U22 | U33 | U12 | U13 | U23 | |
| Zn1 | 0.01 | 0.01 | 0.01 | 0.005 | 0.00 | 0.00 |
| O1 | 0.01 | 0.01 | 0.01 | 0.005 | 0.00 | 0.00 |
Acknowledgements
Open access publishing facilitated by University of Technology Sydney, as part of the Wiley–University of Technology Sydney agreement via the Council of Australasian University Librarians.
Conflict of interest
There are no conflicts of interest.
Data availability
The optimized file is provided in supporting information.
Funding information
The following funding is acknowledged: National Natural Science Foundation of China (12404276, 12347164), the China Postdoctoral Science Foundation (2024 T170541, GZC20231535), the China Scholarship Council (No. 202406890093), and the Australian Research Council Centre of Excellence in Quantum Biotechnology (CE230100021).
References
Adhikari, R. & Fu, H. (2019). Phys. Rev. B 99, 104101. Web of Science CrossRef Google Scholar
Adnan, M., Guo, Y. L., Abbasi, M. S., Liu, Z., Qiu, N. X., Li, Y. F., Hu, Z. Y. & Du, S. Y. (2025). Mater. Sci. Semicond. Process. 185, 108872. Web of Science CrossRef Google Scholar
Bochkarev, A., Lysogorskiy, Y. & Drautz, R. (2024). Phys. Rev. X 14, 021036. Google Scholar
Claeyssens, F., Freeman, C. L., Allan, N. L., Sun, Y., Ashfold, M. N. R. & Harding, J. H. (2005). J. Mater. Chem. 15, 139–148. Web of Science CrossRef CAS Google Scholar
Das, R., Rakshit, B., Debnath, S. & Mahadevan, P. (2014). Phys. Rev. B 89, 115201. Web of Science CrossRef Google Scholar
Ferri, K., Bachu, S., Zhu, W., Imperatore, M., Hayden, J., Alem, N., Giebink, N., Trolier-McKinstry, S. & Maria, J.-P. (2021). J. Appl. Phys. 130, 044101. Web of Science CrossRef Google Scholar
Fischer, D., Zagorac, D. & Schön, J. C. (2023). Thin Solid Films 782, 140017. Web of Science CrossRef Google Scholar
Freeman, C. L., Claeyssens, F., Allan, N. L. & Harding, J. H. (2006). Phys. Rev. Lett. 96, 066102. Web of Science CrossRef PubMed Google Scholar
Huang, J., Hu, Y. & Liu, S. (2022). Phys. Rev. B 106, 144106. Web of Science CrossRef Google Scholar
Kang, K. S., Kononov, A., Lee, C. W., Leveillee, J. A., Shapera, E. P., Zhang, X. & Schleife, A. (2019). Comput. Mater. Sci. 160, 207–216. Web of Science CrossRef CAS Google Scholar
Kim, B. G. (2012). Phys. Rev. Lett. 108, 259601. Web of Science CrossRef PubMed Google Scholar
Kulkarni, A. J., Zhou, M. & Ke, F. J. (2005). Nanotechnology 16, 2749–2756. Web of Science CrossRef CAS Google Scholar
Kulkarni, A. J., Zhou, M., Sarasamak, K. & Limpijumnong, S. (2006). Phys. Rev. Lett. 97, 105502. Web of Science CrossRef PubMed Google Scholar
Lee, P. A. & Beni, G. (1977). Phys. Rev. B 15, 2862–2883. CrossRef CAS Web of Science Google Scholar
Lee, P. A., Citrin, P. H., Eisenberger, P. & Kincaid, B. M. (1981). Rev. Mod. Phys. 53, 769–806. CrossRef CAS Web of Science Google Scholar
Li, Y.-L., Fan, Z. & Zheng, J.-C. (2013). J. Appl. Phys. 113, 083705. Web of Science CrossRef Google Scholar
Limandri, S. P., Bonetto, R. D., Di Rocco, H. O. & Trincavelli, J. C. (2008). At. Spectrosc. 63, 962–967. Web of Science CrossRef Google Scholar
Lizandara Pueyo, C., Siroky, S., Landsmann, S., van den Berg, M. W. E., Wagner, M. R., Reparaz, J. S., Hoffmann, A. & Polarz, S. (2010). Chem. Mater. 22, 4263–4270. Web of Science CrossRef CAS Google Scholar
Molepo, M. P. & Joubert, D. P. (2011). Phys. Rev. B 84, 094110. Web of Science CrossRef Google Scholar
Nakamura, K., Higuchi, S. & Ohnuma, T. (2016). J. Appl. Phys. 119, 114102. Web of Science CrossRef Google Scholar
Neamtu, J., Georgescu, G., Malaeru, T., Gheorghe, N., Costescu, R., Jitaru, I., Ferre, J., Macovei, D. & Teodorescu, C. (2010). Dig. J. Nanomater. Biostruct. 5, 873–885. Google Scholar
Newville, M. (2013). J. Phys. Conf. Ser. 430, 012007. CrossRef Google Scholar
Rakshit, B. & Mahadevan, P. (2011). Phys. Rev. Lett. 107, 085508. Web of Science CrossRef PubMed Google Scholar
Rakshit, B. & Mahadevan, P. (2012). Phys. Rev. Lett. 108, 259602. Web of Science CrossRef PubMed Google Scholar
Schreyer, M., Guo, L., Thirunahari, S., Gao, F. & Garland, M. (2014). J. Appl. Cryst. 47, 659–667. Web of Science CSD CrossRef CAS IUCr Journals Google Scholar
Si, H., Peng, L. J., Morris, J. R. & Pan, B. C. (2011). J. Phys. Chem. C 115, 9053–9058. Web of Science CrossRef CAS Google Scholar
Su, Y. L., Zhang, Q. Y., Pu, C. Y., Tang, X. & Zhao, J. J. (2015). Solid State Commun. 223, 19–23. Web of Science CrossRef CAS Google Scholar
Thompson, A. P., Aktulga, H. M., Berger, R., Bolintineanu, D. S., Brown, W. M., Crozier, P. S., in 't Veld, P. J., Kohlmeyer, A., Moore, S. G., Nguyen, T. D., Shan, R., Stevens, M. J., Tranchida, J., Trott, C. & Plimpton, S. J. (2022). Comput. Phys. Commun. 271, 108171. Web of Science CrossRef Google Scholar
Timoshenko, J. & Kuzmin, A. (2009). Comput. Phys. Commun. 180, 920–925. Web of Science CrossRef CAS Google Scholar
Tu, Z. C. & Hu, X. (2006). Phys. Rev. B 74, 035434. Web of Science CrossRef Google Scholar
Tusche, C., Meyerheim, H. L. & Kirschner, J. (2007). Phys. Rev. Lett. 99, 026102. Web of Science CrossRef PubMed Google Scholar
Wang, Q. B., Zhou, C., Wu, J., Lü, T. & He, K. H. (2015). Comput. Mater. Sci. 102, 196–201. Web of Science CrossRef CAS Google Scholar
Wang, X. W., Sun, X. W., Song, T., Tian, J. H. & Liu, Z. J. (2022). Appl. Phys. A 128, 707. Web of Science CrossRef Google Scholar
Wei, M., Boutwell, R. C., Mares, J. W., Scheurer, A. & Schoenfeld, W. V. (2011). Appl. Phys. Lett. 98, 261913. Web of Science CrossRef Google Scholar
Yadav, A. K., Padma, N., Ghorai, G., Sahoo, P. K., Rao, R., Banarjee, S., Rajarajan, A. K., Kumar, P., Jha, S. N. & Bhattacharyya, D. (2021). Appl. Surf. Sci. 565, 150548. Web of Science CrossRef Google Scholar
Zagorac, D., Schön, J. C. & Jansen, M. (2012). J. Phys. Chem. C 116, 16726–16739. Web of Science CrossRef CAS Google Scholar
Zagorac, D., Schön, C. J., Zagorac, J., Pentin, I. V. & Jansen, M. (2013). Process. Appl. Ceram. 7, 111–116. Web of Science CrossRef CAS Google Scholar
Zagorac, D., Schön, J. C., Zagorac, J. & Jansen, M. (2014). Phys. Rev. B 89, 075201. Web of Science CrossRef Google Scholar
Zhang, L. & Huang, H. (2007). Appl. Phys. Lett. 90, 023115. Web of Science CrossRef Google Scholar
Zhang, L., Li, M., Mehta, N., Verdi, C., Ren, W. & Reimers, J. R. (2026). arXiv, 2601.14847. Google Scholar
Zhang, X. & Schleife, A. (2018). Phys. Rev. B 97, 125201. Web of Science CrossRef Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

journal menu
access



