research papers\(\def\hfill{\hskip 5em}\def\hfil{\hskip 3em}\def\eqno#1{\hfil {#1}}\)

Journal logoSTRUCTURAL SCIENCE
CRYSTAL ENGINEERING
MATERIALS
ISSN: 2052-5206

Re-refinement of the structure of the planar hexagonal phase of ZnO nanocrystals

crossmark logo

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]

Edited by J. Hadermann, University of Antwerp, Belgium (Received 28 January 2026; accepted 13 April 2026; online 8 May 2026)

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 crystal structure 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 molecular dynamics 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.

1. Introduction

Lizandara Pueyo et al. (2010View full citation) have reported nanocrystals of ZnO with purity in excess of 99% that show P63/mmc symmetry [Fig. 1[link](a)]. They showed them to be metastable, converting to the wurtzite (P63mc) phase w-ZnO [Fig. 1[link](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 transmission electron microscopy (HRTEM). They also performed quantitative structural analysis of the EXAFS data to determine the unit-cell parameters and interatomic distances. These results were then shown to be consistent with the PXRD data.

[Figure 1]
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. (2010View full citation)] revealed the structure to display trigonal bipyramidal coordination for both the Zn and O atoms [Fig. 1[link](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[link]). Because of the trigonal bipyramidal coordination, this phase is often called the 5/5 or 5-5 phase (Lizandara Pueyo et al., 2010View full citation; Zagorac et al., 2012View full citation). Notably, the reported interplanar spacing is extremely contracted compared to the value of 5.2057 Å for w-ZnO [Fig. 1[link](b)] (Schreyer et al., 2014View full citation). 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[link](c)]. It is therefore also common to label the P63/mmc phase as either α-BN, h-ZnO, or α-MgO (Zagorac et al., 2012View full citation), as well as graphitic-ZnO (Kulkarni et al., 2005View full citation), HX (Kulkarni et al., 2006View full citation), gZnO (Yadav et al., 2021View full citation), α-ZnO (Wei et al., 2011View full citation), and BN-ZnO (Zhang & Schleife, 2018View full citation), as well as the Bk structure (Molepo & Joubert, 2011View full citation). Accurate structural measurements, capable of differentiating between the structures portrayed in Figs. 1[link](a) and 1[link](c), are therefore critical to the understanding of the properties of h-ZnO.

Table 1
Observed and first-principles calculated unit-cell parameters for h-ZnO at T = 0 K

Method Reference a = b (Å) c (Å)
Original obs. Lizandara Pueyo et al. (2010View full citation) text 3.099 3.858
Original obs. Lizandara Pueyo et al. (2010View full citation) SI 3.31 4.12
LDA Rakshit & Mahadevan (2011View full citation) 3.371 4.459
PBE Rakshit & Mahadevan (2011View full citation) 3.45 4.62
HSE06 Kim (2012View full citation) 3.425 4.512
HF Zagorac et al. (2014View full citation) 3.48 4.46
B3LYP Zagorac et al. (2014View full citation) 3.48 4.54
Revised obs. This work 3.45±0.02 4.46±0.02

Of significance, w-ZnO [Fig. 1[link](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[link](b)] to form h-ZnO [Fig. 1[link](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., 2010View full citation) 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., 2021View full citation) through a related concerted mechanism (Huang et al., 2022View full citation), 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., 2012View full citation; Zagorac et al., 2013View full citation; Adhikari & Fu, 2019View full citation; Huang et al., 2022View full citation; Ferri et al., 2021View full citation).

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, 2012View full citation), with stabilization of h-ZnO predicted to occur only at high applied pressures (Molepo & Joubert, 2011View full citation; Su et al., 2015View full citation; Wang et al., 2015View full citation; Nakamura et al., 2016View full citation; Zhang & Schleife, 2018View full citation; Wang et al., 2022View full citation; Adnan et al., 2025View full citation).

Although such calculations may not be reliable, more significant issues arise concerning the reported structure (Lizandara Pueyo et al., 2010View full citation) 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., 2023View full citation), this result does not appear to be reasonable. From the quantitative perspective, first-principles calculations, using density functional theory (DFT) (Rakshit & Mahadevan, 2011View full citation; Kim, 2012View full citation; Rakshit & Mahadevan, 2012View full citation; Molepo & Joubert, 2011View full citation; Su et al., 2015View full citation; Zhang & Schleife, 2018View full citation; Zagorac et al., 2014View full citation) or Hartree–Fock (HF) theory (Zagorac et al., 2014View full citation), 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[link]. 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., 2007View full citation; Yadav et al., 2021View full citation), with their existence supported by DFT calculations (Claeyssens et al., 2005View full citation; Tu & Hu, 2006View full citation; Zhang & Huang, 2007View full citation; Das et al., 2014View full citation; Freeman et al., 2006View full citation). Such structures are important in their own right, with applications including hydrogen storage (Si et al., 2011View full citation) and thermovoltaics (Li et al., 2013View full citation), 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., 2005View full citation) by PW91 (Claeyssens et al., 2005View full citation) calculations to be 4.10 Å, with initially observed double-interlayer spacings being of order 4.2–4.8 Å (Tusche et al., 2007View full citation) and modern measurements indicating 4.20 Å (Yadav et al., 2021View full citation). Molecular dynamics simulations using empirical force fields also support the formation of h-ZnO in nanostructures (Kulkarni et al., 2005View full citation; Kulkarni et al., 2006View full citation).

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. (2010View full citation) match both GW/Bethe–Salpeter (Zhang & Schleife, 2018View full citation; Kang et al., 2019View full citation) and time-dependent DFT (TDDFT) (Kang et al., 2019View full citation) electronic spectral simulations, as well as Raman spectral simulations (Su et al., 2015View full citation).

Lizandara Pueyo et al. (2010View full citation) 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[link] 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 molecular dynamics simulations of thermal structural effects.

2. Methods

First, the EXAFS spectrum was extrapolated using a pseudo-Voigt function (Limandri et al., 2008View full citation). Then the phase shift was determined using the method of Lee et al. (Lee & Beni, 1977View full citation), and the pair distribution function (PDF) determined. Morlet WT was then used to establish correlations between peaks in real and reciprocal spaces (Timoshenko & Kuzmin, 2009View full citation) 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., 2024View full citation) in LAMMPS (Thompson et al., 2022View full citation), with the anticipated PDF peaks simulated using the Larch package (Newville, 2013View full citation). 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 EXAFS spectrum (Lizandara Pueyo et al., 2010View full citation) was digitized and is shown in Fig. 2[link], wherein a pseudo-Voigt function (Limandri et al., 2008View full citation) 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, 1977View full citation; Lee et al., 1981View full citation), a process that is traditionally performed empirically. Instead, following Lee et al. (Lee & Beni, 1977View full citation), the extrapolated EXAFS data is forward Fourier transformed, weighted by a windowing function, and then backward Fourier transformed (Fig. 2[link]). 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]
Figure 2
The observed k-weighted EXAFS spectrum of h-ZnO (Lizandara Pueyo et al., 2010View full citation) (red) is extrapolated using a pseudo-Voigt function, forward Fourier transformed, weighted by a Kaiser–Bessel window (blue) and then backward Fourier transformed (BFT) to produce an expanded, noise-reduced, spectrum (green dashed). The differences, representing the noise reduced by the Fourier transformation procedure, are shown in yellow using an expanded y scale.

This Fourier transformation process both reduces noise and allows the phase shift to be determined from the phase function ϕ(k), where

Mathematical equation

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, 1977View full citation; Lee et al., 1981View full citation)

Mathematical equation

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)[link]. 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., 2010View full citation).

The final PDF resulting from this process (Lee & Beni, 1977View full citation; Lee et al., 1981View full citation) is shown in Fig. 3[link]. Its peaks in real space indicate interatomic distances, with key values labelled r1r4, 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, 2009View full citation). 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, 2009View full citation). The results are shown in Fig. 4[link], which provides a correlation between the peaks in reciprocal space (Fig. 2[link]) with those in real space (Fig. 3[link]).

[Figure 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 r1r4.
[Figure 4]
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[link]) with that as Fourier transformed into real space G(R) (left, Fig. 3[link]). Peaks are indicative of either the indicated interatomic distances or else multi-scattering paths (blackened regions of signal loss), with key regions labelled A and B.

The WT contour plot in Fig. 4[link] 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[link] correspond to Zn–O distances. From the observed intensities, the first-shell coordination number 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[link], 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[link] correspond to Zn–Zn separations.

This interpretation leads to the identification of the peaks highlighted in Fig. 3[link] 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[link] and differ significantly from the options proposed originally (Lizandara Pueyo et al., 2010View full citation).

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[link]. 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., 2024View full citation) using LAMMPS (Thompson et al., 2022View full citation). 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, 2013View full citation), and it is shown in Fig. S3, where it is in good agreement with the observed data. From this, values for r1r4 were extracted and analysed in Table 2[link]. 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.

Table 2
Expected ratios of interatomic bond distances for P63/mmc symmetry, compared with those obtained from the EXAFS data and those obtained from MD simulations at T = 298 K using unit-cell parameters a = 3.45 Å and c = 4.46 Å

Ratio Expected Observed MD
r4/r1 Mathematical equation 1.80 1.79
(r12 + r22)/r32 1 0.93 0.92

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[link] 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[link]). 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., 2010View full citation), 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., 2010View full citation). 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., 2022View full citation).

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., 2026View full citation), 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., 2010View full citation) in their external environment. Such studies are relevant to the understanding of concerted polarization switching in all wurtzite-structured materials.

Supporting information


Computing details top

(I) top
Crystal data top
OZnZ = 2
Mr = 81.38Cell parameters from 100 reflections
Hexagonal, P63/mmcθ = 2.0–80.0°
a = 3.45 (2) ÅT = 293 K
c = 4.46 (2) ÅNanocrystal, colorless
V = 46.0 (6) Å3
Data collection top
Theoretical
diffractometer
θmax = 80.0°, θmin = 2.0°
Theoretical scansh =
100 measured reflectionsk =
Rint = 0.0000l =
Fractional atomic coordinates and isotropic or equivalent isotropic displacement parameters (Å2) top
xyzUiso*/Ueq
Zn10.333330.666670.250000.010
O10.333330.666670.750000.010
Atomic displacement parameters (Å2) top
U11U22U33U12U13U23
Zn10.010.010.010.0050.000.00
O10.010.010.010.0050.000.00
Geometric parameters (Å, º) top
Zn1—O12.23 (1)
O1—Zn1—O1180.00
 

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 cif 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

Return to citationAdhikari, R. & Fu, H. (2019). Phys. Rev. B 99, 104101.  Web of Science CrossRef Google Scholar
Return to citationAdnan, 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
Return to citationBochkarev, A., Lysogorskiy, Y. & Drautz, R. (2024). Phys. Rev. X 14, 021036.  Google Scholar
Return to citationClaeyssens, 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
Return to citationDas, R., Rakshit, B., Debnath, S. & Mahadevan, P. (2014). Phys. Rev. B 89, 115201.  Web of Science CrossRef Google Scholar
Return to citationFerri, 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
Return to citationFischer, D., Zagorac, D. & Schön, J. C. (2023). Thin Solid Films 782, 140017.  Web of Science CrossRef Google Scholar
Return to citationFreeman, C. L., Claeyssens, F., Allan, N. L. & Harding, J. H. (2006). Phys. Rev. Lett. 96, 066102.  Web of Science CrossRef PubMed Google Scholar
Return to citationHuang, J., Hu, Y. & Liu, S. (2022). Phys. Rev. B 106, 144106.  Web of Science CrossRef Google Scholar
Return to citationKang, 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
Return to citationKim, B. G. (2012). Phys. Rev. Lett. 108, 259601.  Web of Science CrossRef PubMed Google Scholar
Return to citationKulkarni, A. J., Zhou, M. & Ke, F. J. (2005). Nanotechnology 16, 2749–2756.  Web of Science CrossRef CAS Google Scholar
Return to citationKulkarni, A. J., Zhou, M., Sarasamak, K. & Limpijumnong, S. (2006). Phys. Rev. Lett. 97, 105502.  Web of Science CrossRef PubMed Google Scholar
Return to citationLee, P. A. & Beni, G. (1977). Phys. Rev. B 15, 2862–2883.  CrossRef CAS Web of Science Google Scholar
Return to citationLee, P. A., Citrin, P. H., Eisenberger, P. & Kincaid, B. M. (1981). Rev. Mod. Phys. 53, 769–806.  CrossRef CAS Web of Science Google Scholar
Return to citationLi, Y.-L., Fan, Z. & Zheng, J.-C. (2013). J. Appl. Phys. 113, 083705.  Web of Science CrossRef Google Scholar
Return to citationLimandri, S. P., Bonetto, R. D., Di Rocco, H. O. & Trincavelli, J. C. (2008). At. Spectrosc. 63, 962–967.  Web of Science CrossRef Google Scholar
Return to citationLizandara 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
Return to citationMolepo, M. P. & Joubert, D. P. (2011). Phys. Rev. B 84, 094110.  Web of Science CrossRef Google Scholar
Return to citationNakamura, K., Higuchi, S. & Ohnuma, T. (2016). J. Appl. Phys. 119, 114102.  Web of Science CrossRef Google Scholar
Return to citationNeamtu, 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
Return to citationNewville, M. (2013). J. Phys. Conf. Ser. 430, 012007.  CrossRef Google Scholar
Return to citationRakshit, B. & Mahadevan, P. (2011). Phys. Rev. Lett. 107, 085508.  Web of Science CrossRef PubMed Google Scholar
Return to citationRakshit, B. & Mahadevan, P. (2012). Phys. Rev. Lett. 108, 259602.  Web of Science CrossRef PubMed Google Scholar
Return to citationSchreyer, 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
Return to citationSi, 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
Return to citationSu, 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
Return to citationThompson, 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
Return to citationTimoshenko, J. & Kuzmin, A. (2009). Comput. Phys. Commun. 180, 920–925.  Web of Science CrossRef CAS Google Scholar
Return to citationTu, Z. C. & Hu, X. (2006). Phys. Rev. B 74, 035434.  Web of Science CrossRef Google Scholar
Return to citationTusche, C., Meyerheim, H. L. & Kirschner, J. (2007). Phys. Rev. Lett. 99, 026102.  Web of Science CrossRef PubMed Google Scholar
Return to citationWang, 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
Return to citationWang, 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
Return to citationWei, M., Boutwell, R. C., Mares, J. W., Scheurer, A. & Schoenfeld, W. V. (2011). Appl. Phys. Lett. 98, 261913.  Web of Science CrossRef Google Scholar
Return to citationYadav, 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
Return to citationZagorac, D., Schön, J. C. & Jansen, M. (2012). J. Phys. Chem. C 116, 16726–16739.  Web of Science CrossRef CAS Google Scholar
Return to citationZagorac, 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
Return to citationZagorac, D., Schön, J. C., Zagorac, J. & Jansen, M. (2014). Phys. Rev. B 89, 075201.  Web of Science CrossRef Google Scholar
Return to citationZhang, L. & Huang, H. (2007). Appl. Phys. Lett. 90, 023115.  Web of Science CrossRef Google Scholar
Return to citationZhang, L., Li, M., Mehta, N., Verdi, C., Ren, W. & Reimers, J. R. (2026). arXiv, 2601.14847.  Google Scholar
Return to citationZhang, 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 logoSTRUCTURAL SCIENCE
CRYSTAL ENGINEERING
MATERIALS
ISSN: 2052-5206
Follow Acta Cryst. B
Sign up for e-alerts
Follow Acta Cryst. on Twitter
Follow us on facebook
Sign up for RSS feeds