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CRYSTALLOGRAPHY
ISSN: 1600-5767

Tetragonal distortion of the multiferroic compound α-LiFe5O8 from first-principles calculations

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aApplied Crystallography and Geomaterials, Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Theresienstrasse 41C, Munich, Bavaria 80333, Germany
*Correspondence e-mail: [email protected]

Edited by Th. Proffen, Oak Ridge National Laboratory, USA (Received 13 April 2026; accepted 25 June 2026; online 31 July 2026)

The cubic space group P4332 has been previously reported for the multiferroic lithium ferrite (α-LiFe5O8, denoted LFO). Instead, results from the present study using PBEsol+U calculations with SSSP pseudopotentials suggest that the tetragonal space group P43212 is true for the ground state of LFO. Spin-resolved projected density of states analysis shows strong 3d electron localization of Fe3+ in FeO4 tetrahedra, mostly contributing to the high Hubbard energy U in the calculated tetragonal model. Its direct band gap of 2.050 eV is slightly lower than that of the cubic model (2.107 eV) in density of states calculations. The calculated ferrimagnetic ground state exhibits a collinear spin order along the crystallographic c axis in the tetragonal magnetic space group P4321′2′, consistent with the group theoretical prediction. Decreasing ferromagnetic interactions and increasing antiferromagnetic interactions in the c direction, simultaneously, explain the origin of the tetragonality a/c > 1 with a = 8.3528 (2) Å and c = 8.3511 (1) Å. Strong Fe–O–Fe superexchange interactions contribute to the tetragonal lattice distortion of LFO as well.

1. Introduction

The photovoltaic (PV) effect in magnetoelectric (ME) multiferroics (MFs) has been increasingly investigated by finding spintronics showing helical magnetic spin order-induced electric polarization (Young et al., 2013View full citation; Xiao et al., 2023View full citation; Xu et al., 2021View full citation). The bulk PV effect in ME-MFs occurs with photon-excited electrons jumping from the valence band to the conduction band under inherent electric fields in their polar electronic structures due to the magnetic spin order-induced breaking of space inversion (Baltz & Kraut, 1981View full citation). Thus, in contrast to p-n-junction semiconductor PVs, the resulting photovoltage in ME-based PVs is barely associated with the band-gap energy (Rangel et al., 2017View full citation; Jalaja & Dutta, 2015View full citation). In ME-MFs, the coexistence of ferroelectricity and magnetic spin order allows adjustment of their PV performance by applying external magnetic and electric fields. Furthermore, the MF-PV effect can be significantly enhanced by mechanical and chemical stress using thin films and doping (Vopson, 2015View full citation; Dharmadhikari & Grannemann, 1982View full citation; Ji et al., 2010View full citation; Peng et al., 2017View full citation; Lee & Son, 2024View full citation). Hence, MFs can be photoactive over a wide solar spectrum. In particular, thin films of ME-MFs such as BaTiO3 (Koch et al., 1975View full citation), BiFeO3 (Yang et al., 2009View full citation) and Bi2FeCrO6 (Mahapatra et al., 2024View full citation) have been given attention for PV applications due to their strong response to photons. Their relatively low band gaps of about 2.04–3.21 eV are advantageous compared with those of pure ferroelectric PVs (Nechache et al., 2015View full citation; Jalaja & Dutta, 2015View full citation). For the bulk PV effect, the photocurrent contributes to the shift current induced by electric polarization, as well as to the ballistic current induced by momentum asymmetry of photon-excited carriers (Burger et al., 2019View full citation). Therefore, a low band-gap energy for MFs is desired for strong electron–electron interactions to overcome their photocurrent upper limit of milliamps per square centimetre in contrast to the limit of several thousand amps per square centimetre for semiconductor-based PVs (Jalaja & Dutta, 2015View full citation; Huang et al., 2021View full citation; Nakamura et al., 2024View full citation; Dhass et al., 2020View full citation). MF-PVs with a low band-gap energy will be particularly effective for the infrared region from 1.24 meV to 1.7 eV, which is the major part of the solar energy spectrum (Jalaja & Dutta, 2015View full citation; Nechache et al., 2015View full citation).

Among MFs, the ordered phase of lithium ferrite [α-LiFe5O8 (Liu et al., 2019View full citation); LFO hereafter] is interesting for its low band-gap energy depending on preparation: 1.67 and 1.86 eV for nest-like crystallites with and without using a reduced graphene oxide substrate, respectively (Zhang & Zhang, 2016View full citation), 2.37 eV for a nanocrystalline film on a glass substrate (Babrekar & Jadhav, 2017View full citation), and 1.40–1.60 eV for mixed nanoparticles of α-LiFe5O8 and β-LiFe5O8 calcined between 973 and 673 K (Chireh & Naseri, 2019View full citation). On the other hand, it is desirable to introduce a high ME coupling effect into multiferroics, preferably at room temperature for PV applications. In this sense, LFO is interesting for its high ME coupling coefficient (αME) value of 2 mV Oe−1 cm−1 at 120 K; its αME value decreases with increasing temperature (0.2 mV Oe−1 cm−1 at 250 K), but the ME effect in LFO does exist up to room temperature (Liu et al., 2019View full citation). The ferrimagnetic state of LFO is stable below its high Curie temperature of 907 K (Astafyev et al., 2019View full citation), exhibiting a saturation magnetization of 2.5 μB per formula unit at room temperature (Pachauri et al., 2015View full citation). This significant effective ME effect in LFO is attributed to the spin–orbital (SO) coupling of Fe3+ (3d5) residing in geometrically distorted octahedra (Mohapatra & Dobbidi, 2023View full citation). The resulting polyhedral distortion-induced electric polarization in a weak ferromagnetism (Mercier et al., 1977View full citation) can be tuned by various external fields (Liu et al., 2019View full citation).

LFO has been intensively investigated in both research and development of functional materials (Iliev et al., 2011View full citation; De Picciotto & Thackeray, 1986View full citation; Gridnev et al., 1997View full citation; Kinoshita et al., 2016View full citation; Teixeira et al., 2021View full citation; Soreto et al., 2017View full citation; Kumawat et al., 2021View full citation; Kim et al., 2022View full citation; Sousa et al., 2019View full citation; Moore et al., 2024View full citation; Tan et al., 2021View full citation). All these experimental and theoretical studies of LFO have been based on the atomic arrangements in the cubic space group P4332 (Liu et al., 2019View full citation). Its point group 432 is not a polar group and hence it disallows spontaneous electric polarization but allows the second-order ME effect. There are several unclear issues about its cubic space-group symmetry P4332 and the consequent magnetic spin order in the cubic lattice (Kumawat et al., 2021View full citation; Liu et al., 2019View full citation). In particular, several strong magnetic Bragg reflections forbidden to its ferrimagnetic order in the cubic magnetic space group P4332 were excluded in Rietveld refinements using high-resolution neutron powder diffraction (HRNPD) data (Kumawat et al., 2021View full citation). By coincidence, the resulting collinear ferrimagnetic spin order is consistent with a theoretical magnetic spin order along the c axis predicted from ab initio calculations, where only the cubic space group P4332 was considered (Kim et al., 2022View full citation). However, according to the group–subgroup relation between space group and magnetic space group in group theory, the collinear spin arrangement is best realized in the tetragonal magnetic space group P43Mathematical equation2′, the same as the ferrimagnetic structure of Al3+-doped LFO-type compounds in our recent HRNPD study (Inckemann et al., 2025View full citation).

To date, there are no experimental band-gap energy data for LFO samples without microstructural effects. Results from previous density functional theory (DFT) calculations on LFO by different researchers are also contradictory to each other as they reported different band-gap energy values: Sousa et al. (2019View full citation) did not consider short-range interactions between localized Fe 3d electrons, giving rise to unreasonable valence band characteristics for LFO and an overestimated indirect band gap of 2.3 eV. Kim et al. (2022View full citation) calculated structural, electronic and magnetic properties of LFO in combination with the Hubbard model, resulting in a collinear ferrimagnetic spin configuration with a indirect band gap of 1.99 eV. However, in their DFT calculations, the Hubbard value U for the on-site Coulomb correction was determined merely by fitting the cubic lattice constant, rather than using the linear response method regarded as the standard way for obtaining U values (Moore et al., 2024View full citation). For this reason, the underestimated interaction between Fe 3d electrons might be corrected further. According to the simulations done by Tan et al. (2021View full citation), the U value was set at 5.3 eV, where the valence band maximum was higher than the Fermi energy level. This could not be explained in terms of semiconductor behaviour. Thus, it is necessary to re-examine the true atomic and magnetic structures of LFO, which involves a symmetry lowering from cubic to tetragonal. The present study is an extensive re-investigation of the electronic structures of LFO in both cubic and tetragonal models using the DFT method with the Hubbard model. The simulated atomic and magnetic structures, as well as the electronic properties, agree with the tetragonal space group P43212 being true for LFO, as described in the following.

2. Starting models

Following previous experimental and theoretical studies of LFO (Kim et al., 2022View full citation; Kumawat et al., 2021View full citation), we have taken a collinear ferrimagnetic spin configuration of Fe3+ in the tetragonal and octahedral sublattices in two starting models:

(i) The well known cubic model in P4332. Li+ is located on an octahedral site (4b) while Fe3+ is found on both octahedral (12d) and tetrahedral (8c) sites. The respective Fe sites are labelled Fe1 and Fe2 [Fig. 1[link](a)].

[Figure 1]
Figure 1
Initial models of α-LiFe5O8, (a) in P4332 and (b) in P43212 with site splitting for DFT simulation. For both starting models, a collinear ferrimagnetic spin order is configured with two sublattices of Fe3+ in FeO4 and FeO6 polyhedra.

(ii) The tetragonal model in P43212, a direct subgroup of P4332. Its magnetic subgroup P43Mathematical equation2′ is the only possible one to allow a collinear ferrimagnetic arrangement along c among the cubic (PMathematical equation32′ and P4332) and tetragonal (P43Mathematical equation2′, PMathematical equationMathematical equation2, PMathematical equation212′ and P43212) magnetic subgroups of P4332 [see the supporting information of Inckemann et al. (2025View full citation)]. This tetragonal distortion is accompanied by splitting on the Fe1 and O2 sites, i.e. the octahedral site for Fe (12d) and the site for O (24e) in the cubic model are split into Fe1a (8b) + Fe1b (4a) and O2a (8b) + O2b (8b) + O2c (8b), respectively, in the tetragonal model [Fig. 1[link](b)].

Using all the atomic parameters including magnetic moments, U values were fitted for all Fe3+ ions for both models. To prove the difference between the ferri- [Fig. 2[link](a)] and ferromagnetic [Fig. 2[link](b)] ground states, we calculated their total energies.

[Figure 2]
Figure 2
Two theoretical (a) ferrimagnetic and (b) ferromagnetic arrangements of Fe3+ in the starting models for the ground state of α-LiFe5O8 in P43212.

3. Computational methods

DFT, based on the electron density and exchange-correlation approximations, explains the behaviour of the electrons and atomic nuclei of the investigated system by solving the Kohn–Sham equation without any experimental data (Bagayoko, 2014View full citation). As a reliable first-principles calculation method, DFT has contributed greatly to predicting and explaining coupling effects in various types of multiferroic materials beyond their structural and electronic properties (Neaton et al., 2005View full citation; Ederer & Spaldin, 2006View full citation). Combined with the first-order perturbation theory, the density functional perturbation theory (DFPT) allows the simulation, with high computational efficiency, of crystal systems with a localized perturbation in one unit cell without requiring a supercell (Baroni et al., 2001View full citation).

In the present study, for the multiferroic state of LFO, the magnetic spin of Fe3+ has been considered with the valence electronic configurations of Fe (3p63d54s2), Li (1s22s1) and O (2s22p4). All Fe3+ species in LFO exhibit the high-spin state (S = 5/2). Strong correlations between the Fe 3d electrons were described by the Hubbard model. The DFPT+U method was applied to correct the on-site Coulomb interaction U and spin polarization (Anisimov et al., 1991View full citation), where U describes the potential energy of a 3d5 electron. In Hubbard-corrected DFPT calculations, the total energy of a spinel crystal system EDFPT+U is given by the sum of the energy without spins (EDFPT) plus the energy of the on-site Coulomb correction term with a spin contribution (EU),

Mathematical equation

In order to determine U, DFPT calculations with the first-order linear-response theory in reciprocal space were self-consistently performed by the HP code (Timrov et al., 2022View full citation). The convergence threshold for the response functions was set to 1 × 10−6 eV−1.

With the corrected U values, DFT calculations were executed using the Quantum ESPRESSO software suite (Giannozzi et al., 2009View full citation; Giannozzi et al., 2017View full citation) with the standard solid-state pseudopotentials (SSSP) (Version 1.3.0; Pran­dini et al., 2018View full citation). Using the Perdew–Burke–Ernzerhof (PBE) (Perdew et al., 1996View full citation) method for the generalized gra­dient approximation, exchange-correlation functionals were implemented to optimize the lattice metric and atomic parameters, and subsequently to calculate band structures. The lattice parameters are strongly related to magnetic prop­erties, such as magnetic exchange interactions. Hence, we applied the PBEsol method to DFT calculations to improve the accuracy of the lattice parameters (Perdew et al., 2008View full citation). The kinetic energy cutoff for wavefunctions was tested and could be set to 100 Ry. According to the Monkhorst–Pack scheme, the k-point meshes in the Brillouin zone were sampled by 5 × 5 × 5 grids for both cubic and tetragonal unit cells of LFO. The total energy convergence criterion of 1 × 10−6 Ry and the forces convergence threshold of 1 × 10−4 Ry per Bohr were parameterized. The charge density cutoff of 1100 Ry was set when using SSSP to describe details in orbital electronic structures near the iron nucleus (Prandini et al., 2018View full citation).

To explain the origin of tetragonality for LFO, magnetic exchange interactions were calculated with the Green function method according to Liechtenstein–Katsnelson–Antropov–Gubanov (LKAG) (Liechtenstein et al., 1987View full citation). For a classical Heisenberg model, the Hamiltonian is described as

Mathematical equation

Jij is an exchange interaction between two magnetic moments on sites i and j; and si and sj are the unit vectors pointing in the magnetic moment direction on sites i and j, respectively. The magnetic exchange parameters were calculated on the basis of the magnetic force theorem, while the change in electronic single-particle energies of the system was related to the perturbation in the magnetic spin subsystem. Accordingly, the exchange parameters Jij could be described by the intersite Green functions. In DFT calculations, plane-wave-based methods were used to obtain electronic band structures with Bloch states. The resulting Bloch states wavefunctions were projected onto a localized basis (Wannier functions) using the Wannier90 code (Pizzi et al., 2020View full citation) for calculating Jij, where Wannier functions construct the effective Hamiltonian and give the intersite Green functions. Finally, the magnetic exchange parameters in real space were obtained from DFT calculations using the TB2J package (He et al., 2021View full citation).

4. Results and discussion

4.1. Assessing the ground-state structures and on-site Hubbard parameters

The Hubbard U values were calculated on the tetrahedrally and octahedrally coordinated sites for Fe3+ in P4332 and P43212. The calculated U values between 5.0308 and 5.1668 eV from both SSSP+PBE (Table A.I in the supporting information) and SSSP+PBEsol (Table 1[link]) methods agree with those typical for Fe3+ in various iron compounds (Moore et al., 2024View full citation). Overall, as demonstrated in Fig. 3[link], the U values from the two methods are close to each other after the fourth iteration. The U values of Fe3+ in the tetragonal lattice in P43212 are larger than those in the cubic lattice in P4332, and this is especially significant on the tetrahedral site Fe2. Furthermore, this on-site Coulomb repulsion on Fe2 (U = 5.1668 eV) is stronger than those on the octahedral sites Fe1a (U = 5.0724 eV) and Fe1b (U = 5.0839 eV). This implies more localized Fe 3d electrons in FeO4 tetrahedra, particularly in the tetragonally distorted lattice (Table 1[link]).

Table 1
Results from DFT calculations for the ground state of LFO in both cubic and tetragonal models by the SSSP+PBEsol method

  Crystal system
  Cubic Tetragonal
Space group P4332 P43212
Unit-cell parameters (Å) a = 8.3550 (1) a = 8.3528 (2), c = 8.3511 (1)
V03) 583.2293 (3) 582.6501 (3)
 
  Site Coordinates Site Coordinates
(Wyckoff) x y z (Wyckoff) x y z
Fe1 (12d) 0.1250 0.3644 (1) 0.8856 (1) Fe1a (4a) 0.6173 (3) 0.6173 (3) 0
Fe1b (8b) 0.8750 (1) 0.3674 (1) 0.0076 (2)
Fe2 (8c) 0.9947 (1) 0.9947 (1) 0.9947 (1) Fe2 (8b) 0.2523 (1) 0.0023 (1) 0.6227 (2)
Li (4b) 0.8750 0.3750 0.1250 Li (4a) 0.1250 0.1250 0
O1 (8c) 0.3897 (1) 0.3897 (1) 0.3897 (1) O1 (8b) 0.1349 (1) 0.3849 (1) 0.5099 (1)
O2 (24e) 0.1212 (1) 0.1261 (1) 0.3817 (1) O2a (8b) 0.8682 (1) 0.1269 (1) 0.5084 (1)
O2b (8b) 0.1334 (1) 0.1183 (1) 0.2519 (1)
O2c (8b) 0.8769 (1) 0.3835 (1) 0.2433 (1)
 
U (eV) Fe1 5.0561 Fe1a 5.0724
Fe1b 5.0839
Fe2 5.1556 Fe2 5.1668
Total energy (Ry) −7911.0052 −7911.0057
B0 (GPa) 168.30 ± 0.04 166.20 ± 0.06
Mathematical equation (dB0/dP) 4.256 ± 0.005 4.221 ± 0.003
[Figure 3]
Figure 3
Hubbard values (U) calculated in this study for the cubic and tetragonal models of LFO in each iteration step.

From DFT calculations with the U values from both SSSP+PBE (Table A.I in the supporting information) and SSSP+PBEsol (Table 1[link]) methods, the magnitudes of the total energy E for the cubic and tetragonal models were computed as a function of the unit-cell volume V, as shown in Fig. 4[link]. The ground-state unit-cell volume (V0) and its total energy (E0) were estimated by least-squares fitting of the EV curve in the third-order Birch–Murnaghan equation of state (EOS) (Birch, 1947View full citation),

Mathematical equation

where B0 is the ground-state bulk modulus and Mathematical equation is the derivative of the bulk modulus against pressure. After four iteration steps of the geometry optimization, the value for V0 tends toward convergence, particularly by applying SSSP pseudopotentials with PBEsol exchange-correlation functionals (Fig. 4[link]). The obtained V0 values of 583.2293 (3) and 582.6501 (3) Å3 for the cubic and tetragonal models, respectively, are comparable to experimental results, e.g. Vexp = 578.01 Å3 at room temperature for the cubic model (Liu et al., 2019View full citation), while for the tetragonal model (our own work, to be published elsewhere), we obtained Vexp = 578.19 (2) Å3 at room temperature using X-ray single-crystal diffraction and Vexp = 576.49 (1) Å3 at 3 K by Rietveld analysis with HRNPD data. There is an extremely small difference of 0.1% in the V0 values between the tetragonal and cubic models, where the former with a > c is relatively close to Vexp values. In comparison, the V0 values from the SSSP+PBE method are much further from these experimental observations, as clearly seen in Fig. 4[link]. The current study shows that the PBEsol exchange-correlation functional is suitable for calculating the ground-state unit-cell volume V0. Thus, we consider exclusively the results from the SSSP+PBEsol method hereafter. For the same reason, we employed the U values obtained using the SSSP+PBEsol method in the subsequent calculations of electronic band structures and magnetic interaction parameters (Sections 4.2[link] and 4.3[link]).

[Figure 4]
Figure 4
V0 values (triangles) calculated in this study for the cubic and tetragonal models of LFO in each iteration step. The volumes of LFO in the cubic space group reported by other experimental [filled star: Liu et al. (2019View full citation); open star: our work] and theoretical [pentagon: Tan et al. (2021View full citation)] studies are given for comparison.

The atomic positions were relaxed by geometry optimization iterations using the PBEsol method. The optimized structure parameters, bulk moduli and total energies are listed in Table 1[link]. The tetragonal model of LFO shows an insignificantly lower total energy than the cubic model, i.e. a difference of 5 × 10−4 Ry, but with a high accuracy of 10−9 Ry. On the other hand, our calculations of the respective total energies −7911.0057 and −7910.4706 Ry for the respective ferri- and ferromagnetic orders in the tetragonal lattice (Fig. 2[link]) point to the ferrimagnetic ground state in the tetragonal structure of LFO. As mentioned above, this ground-state ferrimagnetic spin order cannot be realized in the cubic magnetic subgroups of P4332; the collinear ferrimagnetic spin arrangements along the crystallographic c axis are allowed exclusively in the tetragonal magnetic space group P43Mathematical equation2′ (Inckemann et al., 2025View full citation). Hence, a reasonable conclusion can be drawn that LFO undergoes a slight tetragonal lattice distortion. This is highly possible due to the magnetic origin, i.e. the small tetragonality [a = 8.3528 (2) Å, c = 8.3511 (1) Å] may arise from weak antiferromagnetic interactions between the tetragonal and octahedral sublattices of Fe3+, which compete with the ferromagnetic interactions within each sublattice (Fig. 2[link]). This issue is addressed quantitatively in Section 4.3[link]. The bulk modulus of 166.20 GPa calculated by the PBEsol method for the tetragonal model is consistent with the experimental value reported by Massoudi et al. (2020View full citation) as well. Overall, the current study suggests the ground-state structure of LFO is tetragonal in P43212. This finding was applied in the subsequent calculations of band structures in Section 4.2[link] and magnetic interactions in Section 4.3[link].

Comparing the local structures of LiO6, FeO6 and FeO4 polyhedra (Fig. 5[link]), their volumes, geometric degrees of distortion and distortion-induced electric dipole moments were evaluated using the best-fitted idealized polyhedron method (Song & Liu, 2019View full citation; Song et al., 2023View full citation) (Table 2[link]). Their degrees of polyhedral distortion and distortion-induced electric dipole moments (Fig. 5[link]) show noticeable differences between the two models within calculation uncertainties (Table 2[link]). In the tetragonal model, the small volume of FeO4 with obviously short Fe—O bonding distances (Tables A.I and A.II) reflects strong interactions between Fe on Fe2 with four ligand oxygens. The electric dipole moment modulus of FeO4 is negligibly small compared with those of highly distorted FeO6, particularly on Fe1b. The shrinkage in FeO4 tetrahedra in the tetragonal model is consistent with the higher U value on Fe2 compared with that in the cubic lattice. This hints at the presence of competing interactions, such as hybridization between O 2p and Fe 3d orbitals in a rigid and small FeO4 unit in the tetragonal ground state of LFO (see Section 4.2[link]). The significantly different degrees of distortion between Fe1aO6 and Fe1bO6 [Fig. 5[link](b)] are a strong sign for lattice distortion towards a tetragonal lattice. Otherwise, in the cubic structure model, there may not be any differences between these two octahedra.

Table 2
Average polyhedral degrees of distortion in two different theoretical models for LFO

          Electric dipole moment (e Å)  
Model Polyhedron Site Volume (Å3) Distortion (%) x y z Modulus (e Å)
Cubic LiO6 Li1 12.434 (1) 0.2 (1) 0 0 0 0
  FeO6 Fe1 10.873 (1) 0.5 (1) −0.8572 (1) 0 0.8572 (1) 1.21 (1)
  FeO4 Fe2 3.527 (1) 0.3 (1) −0.0157 (1) 0.0157 (1) −0.0157 (1) 0.03 (1)
 
Tetragonal LiO6 Li1 12.415 (1) 0.4 (1) 1.1409 (1) 1.1409 (1) 0 1.61 (1)
  FeO6 Fe1a 11.355 (1) 1.8 (1) −0.2121 (1) −0.2121 (1) 0 0.30 (1)
  FeO6 Fe1b 11.188 (1) 3.3 (1) −1.1360 (1) 0.6582 (1) 0.6013 (1) 1.44 (1)
  FeO4 Fe2 3.344 (1) 0.9 (1) 0.0100 (1) −0.4243 (1) 0.1303 (1) 0.44 (1)
[Figure 5]
Figure 5
Polyhedral distortion-induced electric dipole moments (Table 2[link]) are indicated by bold red arrows, (a) in the cubic model in P4332 and (b) in the tetragonal model in P43212. Both models were simulated by the PBEsol method.

4.2. Electronic band structures and density of states

The electronic band structures were calculated using the optimized structural and Hubbard parameters from self-consistent DFT calculations in both cubic and tetragonal models. The spin-up and spin-down states were calculated along the high-symmetry paths in Brillouin zones: R(0.5, 0.5, 0.5) → Γ(0, 0, 0) → X(0.5, 0, 0) → M(0.5, 0.5, 0) → Γ(0, 0, 0) in P4332 and Γ(0, 0, 0) → X(0, 0.5, 0) → M(0.5, 0.5, 0) → Γ(0, 0, 0) → Z(0, 0, 0.5) → R(0, 0.5, 0.5) → A(0.5, 0.5, 0.5) in P43212. The spin-up state in the octahedral sublattice (denoted the B sublattice) was set to |↑〉, while the spin-down state in the tetrahedral sublattice (denoted the A sublattice) was set to |↓〉, and then the electronic band gaps were calculated. The reverse configurations were also calculated (Fig. 6[link]).

[Figure 6]
Figure 6
Electronic band structures of LFO along the high-symmetry paths: (a) |↑〉 on Fe1 and |↓〉 on Fe2 in the cubic model, (b) |↑〉 on Fe2 and |↓〉 on Fe1 in the cubic model, (c) |↑〉 on Fe1a and Fe1b and |↓〉 on Fe2 in the tetragonal model, and (d) |↑〉 on Fe2 and |↓〉 on Fe1a and Fe1b in the tetragonal model. The dashed lines at 0 eV indicate the Fermi energy. Spin-up and spin-down electrons are shown in red and blue, respectively.

Regarding the B sublattice, their band structures for two reverse |↑〉 [Figs. 6[link](a) and 6[link](c)] and |↓〉 [Figs. 6[link](b) and 6[link](d)] states show direct band gaps. Our results do not agree with an indirect band-gap energy calculated for the spin-up state of Fe3+ in the octahedral B sublattice in a previous DFT study (Kim et al., 2022View full citation). The DFT calculations performed in the present study clearly show direct band gaps for these two different ferrimagnetic spin configurations. Their identical magnitudes can be understood by the intrinsic symmetry of the spin-polarized Hamiltonian. These two magnetic states, which are the reverse of each other, belong to the same energetic and electronic solution for a collinear spin alignment in the DFT calculations, and are related by a global spin-flip symmetry. This results in a physically equivalent charge-density distribution. Therefore, in the subsequent calculations, we focused on the one case with |↑〉 in the B sublattice and |↓〉 in the A sublattice. The direct band-gap energy of 2.050 eV for the tetragonal model in P43212 is slightly narrower than the value of 2.107 eV for the cubic model in P4332. These band gaps calculated for the microstructure-free LFO crystalline structure are larger than the band-gap energy measured on nest-like crystallites of LFO (about 1.9 eV; Zhang & Zhang, 2016View full citation) and the direct band gap probed with LFO nanoparticles (1.6 eV; Chireh & Naseri, 2019View full citation; Li et al., 2020View full citation).

The spin-resolved projected density of states (PDOS) on each atomic site in the cubic and tetragonal models for LFO are graphically summarized in Fig. 7[link]. The total DOS indicates the following:

[Figure 7]
Figure 7
PDOS on all atomic sites of LFO, (a) in P4332 and (b) in P43212. The spin-up electron states are above 0 eV in the PDOS, while the spin-down electron states are below 0 eV. The Fermi energy levels are indicated with vertical dotted lines.

(i) There is a strong hybridization between O 2p and Fe 3d orbitals in the valence bands. This hybridization is profound for the tetragonal model.

(ii) The conduction bands predominantly contribute to Fe 3d states. In particular, the conduction-band minimum is determined by the edge of the Fe 3d orbitals near the Fermi level. The spin-up electrons mainly originate from tetrahedral Fe sites, whereas the spin-down electrons are associated with octahedral Fe sites. A noticeable contribution of O 2p to these spin states is also seen in the total DOS.

(iii) The PDOS profiles on sites Fe1a and Fe1b in the tetragonal model differ from each other. This accords with the symmetry splitting with respect to the Fe1 site in the cubic model. The total DOS in the tetragonal model shows that the conduction-band minimum is predominantly contributed to by Fe 3d on the octahedral sites Fe1a and Fe1b. The minimum energy level of Fe 3d on Fe2 is much further from the Fermi level. This is highly possible due to a higher localization of electrons. In contrast, the Fe 3d orbitals on both Fe1 and Fe2 contribute to the conduction-band minimum in the cubic model. A higher localization of Fe 3d electrons in the tetragonal structure of LFO is associated with its U parameters being slightly larger than those in the cubic model (Table 1[link]).

The PDOS profiles of Fe 3d on tetrahedral and octahedral sites are compared in Fig. 8[link], where the tetragonal model reveals a redistribution and extension of the unoccupied spin-up states, rather than a simple energy shift. Moreover, the PDOS profile of Fe 3d states on Fe2 exhibits a noticeably broader energy distribution in the tetragonal model compared with that in the cubic one. This suggests an increase in the bandwidth due to the electronic delocalization enhanced on the tetrahedral site Fe2 [Fig. 8[link](a)]. This contradicts the U values for a higher localization of Fe 3d electrons in the tetragonal model, as mentioned above. This conflict could be explained by pd hybridization effects competing with on-site Coulomb interactions. The stability of LFO in the tetragonal structure might be enhanced by hybridization towards strong covalent interactions between Fe 3d electrons on Fe2 and O 2p electrons in the spin-up ferrimagnetic state.

[Figure 8]
Figure 8
PDOS of the cubic model (red lines) against the EEF scale at the bottom, compared with PDOS of the tetragonal model (black lines) against the EEF scale at the top: (a) Fe 3d spin-up electrons on tetrahedral sites and (b) Fe 3d spin-down electrons on octahedral sites.

4.3. Magnetic properties

The calculated cubic and tetragonal LFO models commonly show a total magnetization value of 2.5 μB per formula unit, consistent with experimentally determined values (Boyraz et al., 2011View full citation; Kumawat et al., 2021View full citation; Liu et al., 2019View full citation). The calculated magnetic moments of Fe3+ on the octahedral site Fe1 are larger than those on the tetrahedral site Fe2 in the cubic model (Table 3[link]). Similarly, the magnetic moments of Fe3+ on Fe1a (4.156 μB) and Fe1b (4.149 μB) are larger than that of the tetrahedral site Fe2 (4.044 μB), corresponding to the high-spin state expected for LFO.

Table 3
Magnetic moments of Fe3+ along the c axis in the LFO structure models in P4332 and P43212, based on Bloch states

Space group Atomic site Magnetic moment (μB)
P4332 Fe1 4.156
Fe2 −4.065
 
P43212 Fe1a 4.156
Fe1b 4.149
Fe2 −4.044

We calculated the long-range magnetic interactions in LFO, resulting in negligibly small values near zero up to the fifth order. Hence, in this study, only the nearest magnetic interactions were considered. As shown in Fig. 9[link], there are four different nearest magnetic exchange interactions, i.e. the face-diagonal interaction JAB between Fe (A sublattice) and Fe (B sublattice), the space-diagonal term JAB, and JBB and JBB which are the corresponding face- and space-diagonal terms within the B sublattice. Their magnitude ratios affect the degree and fashion of tetragonality in spinels (Menyuk et al., 1962View full citation). Therefore, to clarify the origin of the tetragonal lattice distortion a/c > 1 feasible in the ground state of LFO (Table 1[link]), these magnetic exchange interaction parameters were calculated using SSSP pseudopotentials plus PBEsol. The resulting magnetic exchange parameters are highly reliable, as the band structure calculated using Wannier functions matches well that using Bloch states (Fig. 10[link]).

[Figure 9]
Figure 9
Nearest magnetic interaction paths of Fe–Fe within an interatomic distance of 3.4 Å in the calculated tetragonal model of LFO (see the main text).
[Figure 10]
Figure 10
Electronic band structures calculated by Wannier functions (circles) for the tetragonal model of LFO compared with those in Bloch states (lines; see also Fig. 6). Spin-up and spin-down electrons are presented in red and blue, respectively.

To construct the effective spin Hamiltonian, magnetic exchange interactions were first evaluated using the magnetic moments projected onto Fe alone. In this case, the resulting exchange parameters correspond to effective Fe–Fe inter­actions, where O is not treated as an independent magnetic degree of freedom; the magnetic interaction contribution of O, arising from Fe–O–Fe superexchange processes, is implicitly included in the effective Fe–Fe exchange parameters. The total Hamiltonian (Htotal) is expressed by the static Hamilton­ian Hstatic with the effective interaction Jeff,

Mathematical equation

where P is the spin exchange operator. This formalism allows us to derive a minimal Heisenberg model for the Fe sub­lattices. In another case, to prove the hybridization, particularly in Fe2O4 as mentioned in Section 4.2[link], the magnetic moments were projected onto both Fe and O, with the spin polarization of ligand oxygens explicitly taken into account. As a result, a part of the magnetic coupling, which was incorporated into the effective Fe–Fe interaction in the previous case, is redistributed into Fe–O–Fe superexchange terms. The contribution of Fe–O–Fe superexchange inter­actions to Jeff corresponds to pd hybridization. The magnetic moments for both projection cases are listed in Table 4[link], along with the four nearest magnetic interactions calculated using Wannier functions. The magnitude differences on the octahedral sites Fe1a and Fe1b between the two projection cases are similar to each other. In contrast, the magnetic moment on Fe2 projected onto Fe (−4.9928 μB) is much larger than that from the projection onto both Fe and O (−4.1476 μB). Furthermore, the latter is very similar to the magnetic moment magnitude on Fe2 calculated in Bloch states (−4.044 μB). This large discrepancy (Δ) of 0.8542 μB on Fe2 between the two projection cases points to strong Fe–O–Fe superexchange interactions in Fe2O4. The superexchange effect in Fe1aO6 and Fe1bO6 might be smaller, as indicated by the respective low Δ values of 0.0845 μB and 0.1689 μB.

Table 4
Effective magnetic exchange interaction parameters (meV) and magnetic moments (μB) in the tetragonal LFO model, calculated using Wannier functions

Effective magnetic exchange interaction Atomic site Magnetic moment projected on Fe Magnetic moment projected on Fe and O
JBB 5.3791 Fe1a 4.3300 4.2455
Mathematical equation 5.1697 Fe1b 4.4070 4.2381
JAB −1.4478 Fe2 −4.9928 −4.1476
Mathematical equation −1.8574 O1 0.1344
O2a 0.0642
O2b 0.0519
O2c 0.0363

The suggested strong Fe–O–Fe superexchange interactions are consistent with the pronounced pd hybridization observed in the PDOS of the Fe 3d and O 2p states (Fig. 7[link]). The Goodenough–Kanamori–Anderson (GKA) rules (Anderson, 1959View full citation; Kanamori, 1957View full citation; Kanamori, 1959View full citation) state that the sign and strength of superexchange interactions are influenced by ∠(Fe–O–Fe) angles and the orbital occupancy. The superexchanges Fe1a(↑)–O(↑)–Fe1b(↑) and Fe1b(↑)–O(↑)–Fe1b(↑) occur over ∠(Fe–O–Fe) ≃ 90° (Table A.III). According to the GKA rules, the bonding geometry of ∠(Fe–O–Fe) ≃ 90° favours ferromagnetic interactions due to the orthogonality of the involved orbitals. In contrast, the Fe1b(↑)–O(↑)–Fe2(↓) and Fe1a(↑)–O(↑)–Fe2(↓) pathways exhibit ∠(Fe–O–Fe) ≫ 90°. This favours antiferromagnetic coupling due to maximal overlap of the half-filled Fe 3d orbitals with the O 2p orbitals. The inclusion of O 2p states accounts for the strong Fe 3d–O 2p–Fe 3d hybridization on Fe2O4, where superexchange interactions are significant.

When applying the Yafet–Kittel model for spinels, the magnetic energy for a tetragonal distortion can be characterized by three dimensionless parameters, which describe the relative exchange interaction strength and the magnetic anisotropy (Menyuk et al., 1962View full citation). These parameters are defined as

Mathematical equation

Mathematical equation

Mathematical equation

The spin vectors SB = 5/2 and SA = −5/2 correspond to the respective high-spin states of Fe3+ in the B and A sublattices. Using the calculated parameters (JBB = 5.3791 meV, JBB = 5.1697 meV, JAB = −1.4478 meV and JAB = −1.8574 meV), the magnitudes of u, v and w were calculated to determine the tetragonality of LFO as follows:

Mathematical equation

Mathematical equation

Mathematical equation

The parameter u > 1 characterizes the relative strength of ferromagnetic interactions in the B sublattice in comparison with the antiferromagnetic interactions between the A and B sublattices. The condition v > 1/2 indicates that ferromagnetic interactions within the B sublattice are stronger on the ab plane than those parallel to the c direction; w < 1/2 implies that antiferromagnetic interactions between the A and B sub­lattices along the c axis are stronger than those in the ab plane. These parameters explain how a total energy lowering is realized by the tetragonal distortion a > c in LFO, induced by decreasing ferromagnetic interactions and increasing antiferromagnetic interactions along c, simultaneously. This explains the feasibility of the tetragonal structure model for LFO with an a/c ratio slightly larger than 1 (Table 1[link]). In summary, the tiny tetragonality of LFO has a magnetic origin from strong ferromagnetic interactions in the B sublattice competing with the anisotropy of antiferromagnetic inter­actions, including the Fe–O–Fe superexchange.

5. Conclusions

There has been a need to find the true structure of α-LiFe5O8 (denoted LFO) compatible with a collinear ferrimagnetic spin arrangement on the crystallographic c axis. Thus, the aim of this study was to determine the true ground-state symmetry of LFO to re-examine and re-interpret its structural and physical properties. In a comprehensive first-principles investigation on the atomic, electronic and magnetic structures of LFO, we have dealt with two structural models in the cubic space group P4332, which has been known to be true for LFO to date, and in its tetragonal subgroup P43212. Results from SSSP+PBEsol+U calculations suggest that the tetragonal lattice is more favourable than the ideal cubic one within the calculation accuracy.

Our magnetic structure simulations show that LFO inherits the ferrimagnetic structure in the tetragonal magnetic space group P43Mathematical equation2′, which is consistent with the refined model from our recent analysis with HRNPD (to be published). This ferrimagnetic structure model comprises a spin-down tetrahedral diamond lattice (A sublattice) and a spin-up octahedral hyper-Kagome lattice (B sublattice). The calculated nearest-neighbour effective magnetic exchange interactions indicate that ferromagnetic interactions dominate over antiferro­mag­netic interactions in this ferrimagnetic arrangement. The new and insightful findings in this relevant prototype for MF-PVs are highlighted as follows:

(i) there is a tiny tetragonal lattice distortion a/c > 1 with a = 8.3528 (2) Å and c = 8.3511 (1) Å;

(ii) this faint tetragonality has a magnetic origin;

(iii) the Fe–O–Fe magnetic superexchange interaction is consistent with Fe 3d–O 2p hybridization, particularly strong in Fe2O4 tetrahedra;

(iv) the direct band gap of 2.050 eV for microstructure-free LFO in the tetragonal model is smaller than that in the cubic model.

As a relevant aspect, the extremely small tetragonality of LFO (and its variants) might be considered for developing LFO-based MF-PVs. Slight shifts in atomic positions caused by magnetic interactions in (multi)ferroic structures could be verified with greater accuracy at sub-picometre resolution using new resonant X-ray diffraction techniques (Richter et al., 2018View full citation), e.g. YMn2O5 (Weigel et al., 2024View full citation). On the other hand, to realize LFO-type PVs in industrial applications, further experimental and theoretical work is necessary to determine their dynamic magnetic charges (Ye & Vanderbilt, 2014View full citation) and the shift-current response under external fields (Jalaja & Dutta, 2015View full citation; Gong et al., 2024View full citation; Burger et al., 2019View full citation).

Last but not least, the present study could serve as a basis for enhancing PV effectiveness for LFO-type MFs. For instance, Al-doped LFO solid-solution compounds that exhibit a relatively strong tetragonal distortion (Inckemann et al., 2025View full citation) show significantly lower band-gap energies. Details will be reported elsewhere.

Supporting information


Acknowledgements

The authors acknowledge the Leibniz Supercomputing Center at Garching near Munich, Germany. Open access funding enabled and organized by Projekt DEAL.

Funding information

Yaoshi Cheng thanks the China Scholarship Council for financial support under grant No. 202204890001.

References

Return to citationAnderson, P. W. (1959). Phys. Rev. 115, 2–13.  CrossRef Google Scholar
Return to citationAnisimov, V. I., Zaanen, J. & Andersen, O. K. (1991). Phys. Rev. B 44, 943–954.  CrossRef Google Scholar
Return to citationAstafyev, A., Lysenko, E. & Surzhikov, A. (2019). J. Therm. Anal. Calorim. 136, 441–445.  CrossRef Google Scholar
Return to citationBabrekar, M. & Jadhav, K. (2017). Int. Res. J. Sci. Eng. Spec. 1, 73–76.  Google Scholar
Return to citationBagayoko, D. (2014). AIP Adv. 4, 127104.  Google Scholar
Return to citationBaroni, S., de Gironcoli, S., Dal Corso, A. & Giannozzi, P. (2001). Rev. Mod. Phys. 73, 515–562.  Web of Science CrossRef CAS Google Scholar
Return to citationBirch, F. (1947). Phys. Rev. 71, 809–824.  CrossRef CAS Web of Science Google Scholar
Return to citationBoyraz, C., Mazumdar, D., Iliev, M., Marinova, V., Ma, J., Srinivasan, G. & Gupta, A. (2011). Appl. Phys. Lett. 98, 012507.  CrossRef Google Scholar
Return to citationBurger, A. M., Agarwal, R., Aprelev, A., Schruba, E., Gutierrez-Perez, A., Fridkin, V. M. & Spanier, J. E. (2019). Sci. Adv. 5, eaau5588.  CrossRef Google Scholar
Return to citationChireh, M. & Naseri, M. (2019). Adv. Powder Technol. 30, 952–960.  CrossRef Google Scholar
Return to citationde Picciotto, L. A. & Thackeray, M. M. (1986). Mater. Res. Bull. 21, 583–592.  CrossRef Google Scholar
Return to citationDharmadhikari, V. S. & Grannemann, W. W. (1982). J. Appl. Phys. 53, 8988–8992.  CrossRef Google Scholar
Return to citationDhass, A. D., Kumar, R. S., Lakshmi, P., Natarajan, E. & Arivarasan, A. (2020). Mater. Today Proc. 22, 330–334.  CrossRef Google Scholar
Return to citationEderer, C. & Spaldin, N. A. (2006). Phys. Rev. B 74, 024102.  CrossRef Google Scholar
Return to citationGiannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Buongiorno Nardelli, M., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Cococcioni, M., Colonna, N., Carnimeo, I., Dal Corso, A., de Gironcoli, S., Delugas, P., DiStasio, R. A., Ferretti, A., Floris, A., Fratesi, G., Fugallo, G., Gebauer, R., Gerstmann, U., Giustino, F., Gorni, T., Jia, J., Kawamura, M., Ko, H. Y., Kokalj, A., Küçükbenli, E., Lazzeri, M., Marsili, M., Marzari, N., Mauri, F., Nguyen, N. L., Nguyen, H. V., Otero-de-la-Roza, A., Paulatto, L., Poncé, S., Rocca, D., Sabatini, R., Santra, B., Schlipf, M., Seitsonen, A. P., Smogunov, A., Timrov, I., Thonhauser, T., Umari, P., Vast, N., Wu, X. & Baroni, S. (2017). J. Phys. Condens. Matter 29, 465901.  CrossRef Google Scholar
Return to citationGiannozzi, P., Baroni, S., Bonini, N., Calandra, M., Car, R., Cavazzoni, C., Ceresoli, D., Chiarotti, G. L., Cococcioni, M., Dabo, I., Dal Corso, A., de Gironcoli, S., Fabris, S., Fratesi, G., Gebauer, R., Gerstmann, U., Gougoussis, C., Kokalj, A., Lazzeri, M., Martin-Samos, L., Marzari, N., Mauri, F., Mazzarello, R., Paolini, S., Pasquarello, A., Paulatto, L., Sbraccia, C., Scandolo, S., Sclauzero, G., Seitsonen, A. P., Smogunov, A., Umari, P. & Wentzcovitch, R. M. (2009). J. Phys. Condens. Matter 21, 395502.  Web of Science CrossRef PubMed Google Scholar
Return to citationGong, Z., Xun, Y., Qian, Z., Chang, K., Qi, J. & Wang, H. (2024). Phys. Rev. B 110, 094408.  CrossRef Google Scholar
Return to citationGridnev, V. N., Krichevtsov, B. B., Pavlov, V. V. & Pisarev, R. V. (1997). JETP Lett. 65, 68–73.  CrossRef Google Scholar
Return to citationHe, X., Helbig, N., Verstraete, M. J. & Bousquet, E. (2021). Comput. Phys. Commun. 264, 107938.  CrossRef Google Scholar
Return to citationHuang, X., Lan, N., Chen, W., Yan, Y., Zeng, W. & Liu, S. (2021). J. Mater. Sci. 56, 8334–8357.  CrossRef Google Scholar
Return to citationIliev, M. N., Ivanov, V. G., Todorov, N. D., Marinova, V., Abrashev, M. V., Petrova, R., Wang, Y.-Q. & Litvinchuk, A. P. (2011). Phys. Rev. B 83, 174111.  CrossRef Google Scholar
Return to citationInckemann, S., Park, S.-H., Arauzo, A. & Avdeev, M. (2025). J. Solid State Chem. 347, 125325.  CrossRef Google Scholar
Return to citationJalaja, M. A. & Dutta, S. (2015). Adv. Mater. Lett. 6, 568–584.  Google Scholar
Return to citationJi, W., Yao, K. & Liang, Y. C. (2010). Adv. Mater. 22, 1763–1766.  CrossRef Google Scholar
Return to citationKanamori, J. (1957). Prog. Theor. Phys. 17, 197–222.  CrossRef Google Scholar
Return to citationKanamori, J. (1959). J. Phys. Chem. Solids 10, 87–98.  CrossRef CAS Google Scholar
Return to citationKim, S.-Y., Kim, K.-S., Jong, U.-G., Kang, C.-J., Ri, S.-C. & Yu, C.-J. (2022). RSC Adv. 12, 15973–15979.  CrossRef Google Scholar
Return to citationKinoshita, Y., Kida, N., Sotome, M., Miyamoto, T., Iguchi, Y., Onose, Y. & Okamoto, H. (2016). ACS Photonics 3, 1170–1175.  CrossRef Google Scholar
Return to citationKoch, W. T. H., Munser, R., Ruppel, W. & Würfel, P. (1975). Solid State Commun. 17, 847–850.  CrossRef Google Scholar
Return to citationKumawat, K. K., Jain, A., Meena, S. S. & Yusuf, S. M. (2021). J. Alloys Compd. 865, 158849.  CrossRef Google Scholar
Return to citationLee, E. & Son, J. Y. (2024). ACS Mater. Lett. 6, 4248–4254.  CrossRef Google Scholar
Return to citationLi, H., Wang, X., Zhou, P., Wu, H., Zhong, C., Dong, Z. & Liu, J. (2020). J. Alloys Compd. 821, 153199.  CrossRef Google Scholar
Return to citationLiechtenstein, A. I., Katsnelson, M. I., Antropov, V. P. & Gubanov, V. A. (1987). J. Magn. Magn. Mater. 67, 65–74.  CrossRef CAS Google Scholar
Return to citationLiu, R., Pan, L., Peng, S., Qin, L., Bi, J., Wu, J., Wu, H. & Ye, Z.-G. (2019). J. Mater. Chem. C 7, 1999–2004.  CrossRef Google Scholar
Return to citationMahapatra, M., Pati, D. K., Sahu, B., Sahoo, P. K., Parida, R. K., Parida, B. N. & Padhee, R. (2024). J. Mater. Sci. Mater. Electron. 35, 582.  CrossRef Google Scholar
Return to citationMassoudi, J., Bouekkeze, D., Bougoffa, A., Khirouni, K., Dhahri, E. & Bessais, L. (2020). Adv. Powder Technol. 31, 4714–4730.  CrossRef Google Scholar
Return to citationMenyuk, N., Dwight, K., Lyons, D. & Kaplan, T. A. (1962). Phys. Rev. 127, 1983–1996.  CrossRef Google Scholar
Return to citationMercier, M., Velleaud, G. & Puvinel, J. (1977). Phys. B+C 86–88, 1089–1090.  CrossRef Google Scholar
Return to citationMohapatra, P. P. & Dobbidi, P. (2023). Appl. Surf. Sci. 619, 156706.  CrossRef Google Scholar
Return to citationMoore, G. C., Horton, M. K., Linscott, E., Ganose, A. M., Siron, M., O'Regan, D. D. & Persson, K. A. (2024). Phys. Rev. Mater. 8, 014409.  CrossRef Google Scholar
Return to citationNakamura, M., Chan, Y.-H., Yasunami, T., Huang, Y.-S., Guo, G.-Y., Hu, Y., Ogawa, N., Chiew, Y., Yu, X., Morimoto, T., Nagaosa, N., Tokura, Y. & Kawasaki, M. (2024). Nat. Commun. 15, 9672.  CrossRef Google Scholar
Return to citationNeaton, J. B., Ederer, C., Waghmare, U. V., Spaldin, N. A. & Rabe, K. M. (2005). Phys. Rev. B 71, 014113.  CrossRef Google Scholar
Return to citationNechache, R., Harnagea, C., Li, S., Cardenas, L., Huang, W., Chakrabartty, J. & Rosei, F. (2015). Nat. Photonics 9, 61–67.  CrossRef Google Scholar
Return to citationPachauri, N., Khodadadi, B., Althammer, M., Singh, A. V., Loukya, B., Datta, R., Iliev, M., Bezmaternykh, L., Gudim, I., Mewes, T. & Gupta, A. (2015). J. Appl. Phys. 117, 233907.   Google Scholar
Return to citationPeng, Y.-T., Chiou, S.-H., Hsiao, C.-H., Hao Ouyang, C. & Tu, C.-S. (2017). Sci. Rep. 7, 45164.  CrossRef Google Scholar
Return to citationPerdew, J. P., Burke, K. & Ernzerhof, M. (1996). Phys. Rev. Lett. 77, 3865–3868.  CrossRef PubMed CAS Web of Science Google Scholar
Return to citationPerdew, J. P., Ruzsinszky, A., Csonka, G. I., Vydrov, O. A., Scuseria, G. E., Constantin, L. A., Zhou, X. & Burke, K. (2008). Phys. Rev. Lett. 100, 136406.  Web of Science CrossRef PubMed Google Scholar
Return to citationPizzi, G., Vitale, V., Arita, R., Blügel, S., Freimuth, F., Géranton, G., Gibertini, M., Gresch, D., Johnson, C., Koretsune, T., Ibañez-Azpiroz, J., Lee, H., Lihm, J. M., Marchand, D., Marrazzo, A., Mokrousov, Y., Mustafa, J. I., Nohara, Y., Nomura, Y., Paulatto, L., Poncé, S., Ponweiser, T., Qiao, J., Thöle, F., Tsirkin, S. S., Wierzbowska, M., Marzari, N., Vanderbilt, D., Souza, I., Mostofi, A. A. & Yates, J. R. (2020). J. Phys. Condens. Matter 32, 165902.  CrossRef Google Scholar
Return to citationPrandini, G., Marrazzo, A., Castelli, I. E., Mounet, N. & Marzari, N. (2018). npj Comput. Mater. 4, 72.  CrossRef Google Scholar
Return to citationRangel, T., Fregoso, B. M., Mendoza, B. S., Morimoto, T., Moore, J. E. & Neaton, J. B. (2017). Phys. Rev. Lett. 119, 067402.  CrossRef Google Scholar
Return to citationRichter, C., Zschornak, M., Novikov, D., Mehner, E., Nentwich, M., Hanzig, J., Gorfman, S. & Meyer, D. C. (2018). Nat. Commun. 9, 178.  Web of Science CrossRef PubMed Google Scholar
Return to citationSong, Z., Li, Z., Zhang, J., Chen, Z., Suescun, L. & Liu, Q. (2023). J. Appl. Cryst. 56, 884–888.  CrossRef IUCr Journals Google Scholar
Return to citationSong, Z. & Liu, Q. (2019). Phys. Chem. Chem. Phys. 21, 2372–2377.  CrossRef Google Scholar
Return to citationSoreto, S., Graça, M., Valente, M. & Costa, L. (2017). Magnetic Spinels – Synthesis, Properties and Applications, pp. 31–50. InTech.  Google Scholar
Return to citationSousa, O. M., Araujo, R. S. & Freitas, S. M. (2019). Comput. Theor. Chem. 1159, 27–30.  CrossRef Google Scholar
Return to citationTan, S., Zhang, W., Jiao, F., Zhou, Y., Yang, L., Shi, W. & Wang, Z. (2021). Cryst. Res. Technol. 56, 2100076.  CrossRef Google Scholar
Return to citationTeixeira, S. S., Graça, M. P. F., Lucas, J., Valente, M. A., Soares, P. I. P., Lança, M. C., Vieira, T., Silva, J. C., Borges, J. P., Jinga, L.-I., Socol, G., Mello Salgueiro, C., Nunes, J. & Costa, L. C. (2021). Nano­materials 11, 193.  CrossRef Google Scholar
Return to citationTimrov, I., Marzari, N. & Cococcioni, M. (2022). Comput. Phys. Commun. 279, 108455.  CrossRef Google Scholar
Return to citationvon Baltz, R. & Kraut, W. (1981). Phys. Rev. B 23, 5590–5596.  CrossRef Google Scholar
Return to citationVopson, M. M. (2015). Crit. Rev. Solid State Mater. Sci. 40, 223–250.  CrossRef CAS Google Scholar
Return to citationWeigel, T., Richter, C., Nentwich, M., Mehner, E., Garbe, V., Bouchenoire, L., Novikov, D., Meyer, D. C. & Zschornak, M. (2024). Phys. Rev. B 109, 054101.  CrossRef Google Scholar
Return to citationXiao, R.-C., Jin, Y. J. & Jiang, H. (2023). APL Mater. 11, 070903.  Google Scholar
Return to citationXu, H., Wang, H., Zhou, J. & Li, J. (2021). Nat. Commun. 12, 4330.  CrossRef Google Scholar
Return to citationYang, S. Y., Martin, L. W., Byrnes, S. J., Conry, T. E., Basu, S. R., Paran, D., Reichertz, L., Ihlefeld, J., Adamo, C., Melville, A., Chu, Y., Yang, C., Musfeldt, J. L., Schlom, D. G., Ager, J. W. III & Ramesh, R. (2009). Appl. Phys. Lett. 95, 062909.   Google Scholar
Return to citationYe, M. & Vanderbilt, D. (2014). Phys. Rev. B 89, 064301.  CrossRef Google Scholar
Return to citationYoung, S. M., Zheng, F. & Rappe, A. M. (2013). Phys. Rev. Lett. 110, 057201.  CrossRef Google Scholar
Return to citationZhang, D. & Zhang, L. (2016). New J. Chem. 40, 7171–7180.  CrossRef Google Scholar

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