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Scientific Reports logoLink to Scientific Reports
. 2023 Apr 25;13:6703. doi: 10.1038/s41598-023-33578-1

Existence of La-site antisite defects in LaMO3 (M=Mn, Fe, and Co) predicted with many-body diffusion quantum Monte Carlo

Tom Ichibha 1,2,, Kayahan Saritas 1, Jaron T Krogel 1, Ye Luo 3, Paul R C Kent 4, Fernando A Reboredo 1,
PMCID: PMC10130183  PMID: 37185382

Abstract

The properties of LaMO3 (M: 3d transition metal) perovskite crystals are significantly dependent on point defects, whether introduced accidentally or intentionally. The most studied defects in La-based perovskites are the oxygen vacancies and doping impurities on the La and M sites. Here, we identify that intrinsic antisite defects, the replacement of La by the transition metal, M, can be formed under M-rich and O-poor growth conditions, based on results of an accurate many-body ab initio approach. Our fixed-node diffusion Monte Carlo (FNDMC) calculations of LaMO3 (M=Mn, Fe, and Co) find that such antisite defects can have low formation energies and are magnetized. Complementary density functional theory (DFT)-based calculations show that Mn antisite defects in LaMnO3 may cause the p-type electronic conductivity. These features could affect spintronics, redox catalysis, and other broad applications. Our bulk validation studies establish that FNDMC reproduces the antiferromagnetic state of LaMnO3, whereas DFT with PBE (Perdew–Burke–Ernzerhof), SCAN (strongly constrained and appropriately normed), and the LDA+U (local density approximation with Coulomb U) functionals all favor ferromagnetic states, at variance with experiment.

Subject terms: Theory and computation, Electronic properties and materials, Spintronics


This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Introduction

The LaMO3 (M: 3d transition metal) perovskites display remarkable features such as superconductivity1, spin crossovers2,3, magnetic transitions, and giant magneto resistance46, and the transition metal atoms also provide redox catalytic ability7. Beyond the basic science interests in perovskites, their properties are exploited for various applications, including gas sensors8,9, thermal sensors2, sub-micrometer magnetic field sensors10, photocatalysts, catalytic combustion11, air batteries12, magnetic read heads, and magnetic memory cells13.

More interestingly, perovskites can be grown on top of each other via pulsed laser deposition (PLD) and molecular beam epitaxy (MBE)14,15. These growth methods allow the fabrication of artificial materials that combine the properties of the individual building blocks with additional effects that result from the interfaces and strain caused by lattice mismatch. For example, strain affects the magnetism16, electronic conductivity17, ferroelectricity18, carrier density17, and oxygen vacancy concentration19. Interestingly, 2D superconductivity is observed at the two types of interfaces of LaAlO3/SrTiO3 and LaTiO3/SrTiO320,21. The relative lower temperatures in PLD and MBE facilitates the formation of defects as a result of departures of the stoichiometry or limited annealing times. Because defects are well known to alter the magnetic, electronic, and chemical properties of perovskites, their characterization is key to understanding this family of materials and the composite materials derived from them. At equilibrium, the formation energy of defects determines their relative abundance. However, outside this regime, the relative abundance of defective structures also depends on growth kinetics. Defects with high formation energies will be difficult to form even out of equilibrium. Therefore, the formation energy of defects is a key indicator of their occurrence during natural or artificial growth.

For general ABO3 perovskites, defects are theoretically possible on any of the atomic sites and in defect complexes. In La-based perovskites, a strong focus has been on the formation energy of the oxygen vacancies because these play an important role in the oxygen reduction reaction22, oxygen evolution reaction23, and ionic conduction24,25. However, in non-La-based perovskites, such as YAlO3 and LuAlO3, both Y and Lu antisite defects have been predicted26. Similarly, DFT calculations predicted that Ni impurities in BaZrO3 occupy the A-site under Ni-rich condition27. Experiments also found that Y impurities, B-site dopants in BaZrO3, occupy the A-site as well in the Y richer phase28. These examples raise the question as to the extent La-site antisite defects are relevant in LaMO3 perovskites.

Transition metal oxides, including perovskites, are notoriously challenging to current density functional theory (DFT) approximations29 because strong static and dynamic electronic correlations and self-interaction errors are present at the partially occupied d shells30. These errors are compounded for defects that involve transition metals. Accordingly, these materials and their defects are important targets of quantum many-body methods, such as fixed-node diffusion Monte Carlo (FNDMC), that account for electronic correlations and avoid the self-interaction error31,32. These methods can be applied to defective supercells and to the ideal bulk solids, making them well-suited to modeling transition metal oxides in general3350.

In this paper, we study the formation energy of antisite defects and oxygen vacancies in LaMO3 (M = Mn, Fe, and Co) using FNDMC. We establish for LaMnO3 and LaFeO3 that the formation energy of antisite defects is low enough to form the defects under M-rich and O-poor chemical conditions. However, in LaCoO3, the formation energy of antisite defects is higher for each type of growth conditions studied here. We also show that the antisite defects, as well as the oxygen vacancies, significantly affect the properties of La perovskites. The predicted partial density of states (PDOS) suggests that the antisite defect formation may contribute to the p-type electronic conductivity in LaMnO3 and may narrow the band gap of LaFeO3 and LaCoO3. In addition, we study the magnetic energy order of the non-defective perovskite crystals. Because even the magnetic ground state is still controversial for some perovskites, we determine the magnetic ground state prior to conducting the defect studies. For LaMnO3 and LaFeO3, FNDMC corroborates the experimental antiferromagnetic (AFM) ground state, but the ground state of pristine LaCoO3 remains controversial16.

The rest of the paper is organized as follows: In “Calculation details” section, we explain how the point defect formation energies are evaluated, including the details of the DFT and FNDMC calculations. In “Results and discussion” section, we discuss the magnetic state of non-defective perovskite crystals. We also discuss the defect formation energies and how the point defects affect electronic conductivity. This work is summarized in “Conclusion” section.

Calculation details

Formation energy of defects

The formation energies of oxygen vacancy VO and intrinsic transition metal antisite defects on the La site MLa (M = Mn, Fe, and Co) were evaluated in the neutral state by using the following equations:

ΔEVO=EVO-Ebulk+μO, 1
ΔEMLa=EMLa-Ebulk+μLa-μM. 2

Here, Ebulk is the total energy of perovskite supercells with no defects, EVO is an isolated oxygen vacancy, EMLa is an isolated antisite defect, and μX is the chemical potential of the atomic species X. The formation of charge-neutral oxygen vacancy reduces the neighboring cations. The influence of charge-neutral antisite defect formation on the neighboring ions is discussed in “Atomic distortions around the antisite defect” section. The effects of electron and hole doping are discussed in the supplemental information (SI). The chemical potential (μX) and the defect formation energies (ΔEVO and ΔEMLa) for different equilibrium states are characterized by the solids or gases present during growth. The calculated total energies for the materials were used to determine the chemical potentials to simulate several equilibrium states and are listed in Table 1.

Table 1.

List of compounds used to calculate the chemical potentials in each equilibrium state.

Formula Space group Lattice constants (Å) Magnetic state Supercell size
O2 d=1.24 (molecule)
La2O31 C2/m a=b=3.93, c=6.1552 NM 16 (80 atoms)
LaMnO3 Pnma a=5.54, b=5.75, c=7.6953 AFM-A54 4 (80 atoms)
MnO Fm3¯m a=b=c=4.4955 AFM-A2 40 (80 atoms)
MnO2 P42/mnm a=b=4.36, c=2.8854 AFM-A54 13 (78 atoms)
LaFeO3 Pnma a=b=5.56, c=7.8556 AFM-G57 4 (80 atoms)
Fe Im3¯m a=b=c=2.8758 FM 64 (64 atoms)
FeO Fm3¯m a=b=c=4.33459 AFM-A2 36 (72 atoms)
Fe2O3 R3¯c a=b=5.04, c=13.7560 AFM61 8 (80 atoms)
La2O33 Ia3¯ a=b=c=11.4062 NM Extrap.4
Co P63/mmc a=b=2.47, c=4.0263 FM Extrap.4
CoO F4¯3m a=b=3.20, c=7.7064 AFM64 Extrap.4
Co3O4 Fd3¯m a=b=c=8.0565 FM Extrap.4
LaCoO3 R3¯c a=5.36,b=5.44,c=7.62,α=89.97,β=88.83,γ=89.7966 AFM-G66 Extrap.4

This table summarizes the lattice constants, the magnetic state, and the supercell size as number of primitive cells and atoms. (a For LaMnO3 and LaFeO3 results; b The energy differences between different AFM structures of the rock-salt type MnO were calculated to be within 50 meV per formula unit by DFT51. This energy scale is significantly small compared with the energy scale of point defects formation: the choice of the spin structure would not be significant for the point defects formation energies; c For LaCoO3 results; d The total energy was evaluated by the size extrapolation. See the SI for the details).

Relaxation of defective and bulk structures

The Vienna Ab Initio Simulation Package (VASP)67 was used to relax the atomic positions. The total energy and orbital eigenenergies convergence criteria for the self-consistent field (SCF) process were both 1×10-5 eV/simulation cell. The atomic positions were relaxed until the maximum residual force was less than 0.01 eV/Å. We found that the defect formation energy does not significantly change when the structure is altered to the one obtained with a different functional choice (details available in the SI). The lattice vectors were fixed at the reference values listed in Table 1. For LaCoO3, we used the same calculation settings as our previous work16. To calculate the chemical potentials and cohesive or formation energies of bulk structures, the atomic positions were also fixed at the reference data values in Table 1. For LaMnO3 and LaFeO3, we used the Perdew–Burke–Ernzerhof (PBE) functional68 to relax the atomic positions of both bulk and defective structures. The core electrons were replaced using the projector augmented wave (PAW) method69. The plane-wave cutoff energy was 520 eV, which converged the total energy of LaMnO3 within 14 meV/atom. The k-mesh spacing was smaller than 0.50 Å-1, which converged the total energy of LaMnO3 within 2.4 meV/atom. The same calculation settings were used to obtain the LaMnO3, LaFeO3, and LaCoO3 AFM and FM energy differences. The cohesive or formation energies of the bulk systems listed in Table 1 were calculated using PBE68 and strongly constrained and appropriately normed (SCAN) functionals70.

FNDMC calculations’ details

We performed FNDMC calculations with the high-performance QMCPACK code71,72 with the Nexus workflow management software73. We used the Slator-Jastrow-type trial wave functions74. The Jastrow factor consisted of one-, two-, and three-body terms. The orbitals of the Slater determinants were obtained with the local density approximation with Coulomb interaction potential (LDA+U) method30. Further details of the LDA+U calculations are written in the next subsection. The time step was dt=0.01 a.u.-1, and the associated errors were 5 meV/atom for LaMnO3 and LaFeO354,75 and less than 20 meV/atom for LaCoO316. The target population of walkers was 2000 or larger for our main results (the SI discusses a few exceptions). We used twist-averaged boundary conditions and size extrapolation to estimate the one- and two-body finite size effects (details in the SI). For LaFeO3, EVO and Ebulk in Eq. (1) were taken from our previous FNDMC results75.

Tuned LDA+U trial wave function

We used the Quantum ESPRESSO package76 to run the LDA+U calculations. We used the norm conserving pseudopotentials54,75,77, whose accuracy has been verified in our previous works54,75,77. The cutoff energy was 350 Ry, which converged the total energy of LaCoO3 within 1 meV/atom. The k-mesh size was identical to the twist-averaging mesh size (details in the SI). The energy convergence criterion for the SCF process was 5×10-6 Ry or smaller. The Hubbard U contribution was applied to the 3d electrons of Mn, Fe, and Co. We optimized the U value for Mn (Fe) to minimize the FNDMC total energy of the bulk LaMnO3 (LaFeO3): Uopt=3 eV for Mn and 6 eV for Fe. We optimized the U value for Co to minimize the FNDMC total energy of every bulk system: Uopt=6 eV for LaCoO3 and Co and Uopt=5 eV for CoO and Co3O4. We consistently used the Uopt values for our LDA+U calculations throughout the paper. We also used LDA+U with the optimal U values to obtain the PDOS of the perovskites because the FNDMC tuning of DFT+U has been reported to improve the reliability of DFT to study physical properties40,78,79.

Results and discussion

Cohesive or formation energies and energy differences of magnetic states given by FNDMC and DFT

The total energies of the materials listed in Table 1 were calculated to obtain the chemical potentials, μLa, μM, and μO, for different chemical equilibrium conditions. The chemical potentials were used to calculate the defect formation energies with Eqs. (1) and (2). To verify the results, the calculated cohesive energies were compared with the available experimental data24,80,8289 (Table S1 in the SI). The differences between calculated and experimental cohesive energies are shown in Fig. 1. The experimental and FNDMC numerical values are listed in Table 1 in the SI. To quantitatively assess the reliabilities of different methods, the mean squared deviations (MSD) were calculated from the experimental data for the cohesive energies. The MSDs were 0.046(4) (eV/atom)2 for FNDMC, 0.158 (eV/atom)2 for PBE, and 0.562 (eV/atom)2 for SCAN: FNDMC gave the lowest MSD. Because the experimental cohesive energies were not found for Co3O4 and LaCoO3, we alternatively compared the formation energies in Table 2: FNDMC reproduced the experimental values significantly better than the DFT approximations that were considered.

Figure 1.

Figure 1

Cohesive energies of the different compounds used to evaluate the chemical potentials in this study compared with experimental data (zero value). a: For LaMnO3 and LaFeO3 results. b: For LaCoO3 results.

Table 2.

Experimental and calculated formation enthalpies (eV/atom) of Co3O4 and LaCoO3. The last row indicates the mean of the squared deviations (MSD) from the experimental values.

Expt. FNDMC PBE SCAN
Co3O4 1.3380 1.28 (1) 1.00 1.06
LaCoO3 2.5581 2.63 (1) 2.23 2.64
MSD 0.004 (1) 0.112 0.045

We also calculated the energy differences between FM and AFM states of the perovskites. These differences are listed in Table 3. A negative (positive) value indicates that the AFM (FM) state is more stable. For both LaMnO3 and LaFeO3, the AFM ground state was reported experimentally53,90. Our FNDMC calculations reproduced the AFM ground state for both materials. For LaFeO3, the functionals all reproduced the AFM ground state. SCAN agrees well with FNDMC (FMDMC: −0.08(1) vs. SCAN: −0.08 eV). However, none of the DFT functionals that we tested gave the AFM ground state for LaMnO3.

Table 3.

Total energy difference (eV/f.u.) between AFM and FM states of LaMnO3, LaFeO3, and LaCoO3: the total energy of the AFM state minus that of the FM state. Negative values indicate greater AFM stability.

Perovskite PBE SCAN LDA+U FNDMC
LaMnO3 + 0.02 + 0.07 + 0.10 − 0.15 (2)
LaFeO3 − 0.16 − 0.08 − 0.23 − 0.08 (1)
LaCoO3 + 0.50 − 0.18 − 0.37 − 0.27 (2)16

Determining the magnetic ground state for LaCoO3 is rather more complex than for LaMnO3 and LaFeO3 because different spin states of the cobalt ion are nearly degenerated. Here, we briefly discuss the main results of our previous work16. The ground state of bulk LaCoO3, Co3+, was reported experimentally in 1957 to be low spin (LS) t2g6eg0 at low temperature (T<30 K) and therefore non-magnetic (NM)91. However, experiments in recent years have challenged this idea9296. It is argued that at elevated temperatures, the LS Co3+ transitions into a high-spin/low-spin mixture; at temperatures above 500K, the ground state is completely high-spin (HS; t2g4eg2) Co3+91. In our FNDMC calculations, we found that the ground state of LaCoO3 at 0 K is an HS AFM16 state. Using FNDMC, the magnetic state energy ordering was revealed to be HS-AFM < HS/LS-FM < HS-FM < LS < intermediate spin-FM. The FNDMC total energy difference between the most and second-most stable states (i.e., HS-AFM and HS/LS-FM) was 0.15 eV, which indicates an HS-AFM ground state. Table 3 shows the energy differences of HS-AFM−HS/LS-FM. SCAN and LDA+U reproduce FNDMC; PBE does not.

From the above discussion, we conclude that FNDMC is better at evaluating the energies related to the perovskite systems. Therefore, we used FNDMC to evaluate the defect formation energies.

Local magnetization of point defects

A point defect was introduced into the bulk supercell with the AFM ordering because this is the ground state of the bulk structures and we target the formation energy of an isolated point defect. We optimized the magnetic moment around the point defect to minimize the total energy. Figure 2 shows the total energies of defects in LaMnO3, antisite defects or oxygen vacancies, for different magnetic moments around the defect. The blue lines are the FNDMC results, and the orange lines are the LDA+U results. The total energies are shown as the relative differences from the lowest value. The minima of FNDMC and LDA+U agreed with each other. The antisite defect was magnetized by 4 or 6 μB in LaMnO3, whereas the oxygen vacancy is not magnetized.

Figure 2.

Figure 2

(Color Online) Relative energies obtained with FNDMC (blue) and LDA+U (orange) calculations of LaMnO3 with (a) antisite defect and (b) oxygen vacancy as a function of the total magnetization. The lowest data point is set to zero. LDA+U reproduces the defect magnetization (i.e., energy minima) of FNDMC.

Because FNDMC and LDA+U agreed with each other in terms of the magnetization of point defects in LaMnO3, we simply used LDA+U to determine the magnetization of defects used for the FNDMC calculations for LaFeO3 and LaCoO3. For LaFeO3, we obtained 5 μB/defect for the antisite defect and 0 μB/defect for the oxygen vacancy. For LaCoO3, we obtained 4 μB/defect for the antisite defect and 0 μB/defect for the oxygen vacancy. In all the perovskites, the transition metal antisite defects have finite local magnetizations, but the oxygen vacancy does not.

Relative abundance of antisite defects in LaMnO3 and LaFeO3

Figure 3 illustrates the main result of this research: the antisite defect and oxygen vacancy formation energies of LaMO3 (M=Mn, Fe, and Co) for different chemical equilibrium conditions. In the case of LaMnO3 and LaFeO3, the antisite defect formation energies are almost always significantly lower than the oxygen vacancy formation energies. For LaMnO3, a very small antisite defect formation energy (0.51(12) eV) was predicted at the chemical potentials, where MnO, MnO2, and LaMnO3 coexist. Similarly, in the case of LaFeO3, the antisite formation energy at the O-poor condition limit, where LaFeO3,Fe, and FeO coexist, was predicted to be almost zero (0.016(95) eV). The antisite defect formation energies in LaCoO3 are always high (> 2.5 eV), and the formation of antisite defects at equilibrium appears to be very difficult. In summary, our results suggest possible antisite defect formation in LaMnO3 and LaFeO3 for M-rich and O-poor conditions because the formation energy appears to be much lower than the oxygen vacancy (Fig. 4) that is often reported in perovskite materials.

Figure 3.

Figure 3

FNDMC prediction of the antisite defect and the oxygen vacancy formation energies as a function of O chemical potential for (a) LaMnO3 (b) LaFeO3, and (c) LaCoO3. The vertical lines indicate the chemical potential where three compounds coexist.

Figure 4.

Figure 4

Density of states of LaMnO3 with (a) no defects (bulk), (b) antisite defects, and (c) oxygen vacancies.

Table 4 summarizes the formation energies of the oxygen vacancy at the O-rich limit (i.e., μO=0.5·E(O2)) obtained with different methods. Our FNDMC calculations nearly reproduced experimental estimates of the oxygen vacancy formation energies for LaMnO3 and LaFeO3. This corroborates the accuracy of our FNDMC calculations for defects. Among the DFT results, the PW91+U method also nearly reproduced the experimental results97,98, but the others did not. These previous DFT calculations without the Hubbard U correction overestimated the oxygen vacancy formation energies for the LaMnO3 case. The Hubbard U correction tends to decrease the vacancy formation energy. For the LaCoO3 case, the previous DFT calculations with the Hubbard U correction all underestimated the oxygen vacancy formation energy compared to our FNDMC results.

Table 4.

Comparison of oxygen vacancy formation energies at the most O-rich condition.

Reference LaMnO3 LaFeO3 LaCoO3
FNDMC 4.20 (5) eV 6.12 (6) eV 3.97 (19) eV
Expt. 3.6–4.1 eV97,99,100 4–6 eV97,101
PW91+U 3.6 eV97,98 4.1–4.5 eV97,98 2.7 eV97,98
PBE+U 2.23 eV102
LDA+U 3.14 eV103 3.07 eV102
PW91 4.7 eV104
PBE 4.5 eV105

Our FNDMC calculations suggested a relative abundance of antisite defects; however, no direct observations of antisite defects were found in the literature review. This lack could be due to the difficulty in observing these antisite defects. Because the transition metal atom has fewer electrons (25,26, and 27) than the La atom (57), the antisite defects would be masked by the La atom and cannot be easily observed in the transmission electron microscopy experiments. Similarly, x-ray diffraction experiments would not observe the antisite defects unless they are ordered. These reliable FNDMC results of antisite defects formation could accelerate their discovery in perovskites.

Atomic distortions around the antisite defect

Figure 5 shows the relaxed structure around the antisite defect in LaMO3 (M=Mn, Fe, and Co). The antisite defect shifts from the original La site position towards some of the surrounding oxygen atoms. This is attributed to the significantly smaller ionic radii of Mn3+, Fe3+, and Co3+ (respectively 0.785, 0.785, and 0.75 Å) compared to that of La3+ (1.172 Å)106. Table 5 compares the distances between the antisite defect and surrounding O atoms with those between the La atom and surrounding O atoms in the bulk structure. This table clarifies that the antisite defect selectively bonds with some specific O atoms compared to La atoms, because of the shorter ionic radius than La. The coordination numbers of O atoms around the antisite defect appears to be three for LaMnO3 and LaFeO3 and four for LaCoO3 based on the listed distances.

Figure 5.

Figure 5

Atomic distortions around the antisite defect in LaMO3 (M=Mn, Fe, and Co).

Table 5.

Bonding distances dbonding (Å) between La atom and surrounding O atoms in bulk LaMO3 (left column) and antisite defect and surrounding O atoms in LaMO3 (right column) for M = Mn, Fe, and Co, respectively. Up to the 6th shortest bonding distances are listed in ascending order. The bottom row indicates the sum of ionic radii dionic (Å) of the bonding ions: La3+ or M3+ and O2-106.

LaMnO3 LaFeO3 LaCoO3
La–O MnLa–O La–O FeLa–O La–O CoLa–O
dbonding 2.427 2.051 2.395 1.915 2.409 1.849
2.470 2.071 2.426 1.923 2.409 1.899
2.470 2.089 2.426 1.923 2.409 1.935
2.546 2.450 2.526 2.592 2.768 1.966
2.625 2.928 2.647 2.715 2.768 2.725
2.625 2.945 2.647 3.072 2.768 2.822
dionic 2.57 2.19 2.57 2.19 2.57 2.15

We next discuss the formal charges of the antisite defects comparing the antisite–O distances and the antisite’s coordination numbers with different transition metal (TM) oxides’ TM–O distances and TM’s coordination numbers. The TM–O distances and TM’s coordination numbers are summarized in Table 6. The TM–O distances are smaller or TM’s coordination number is larger when the TM’s formal charge is larger. For the LaMnO3 case, the antisite–O distances are slightly larger than the TM–O distances in the bulk LaMnO3, and the antisite’s coordination number is also smaller. Therefore, the antisite defect’s formal charge is smaller than +3. For the LaFeO3 case, whereas the antisite–O distances are shorter than the TM–O distances of bulk LaFeO3 and Fe2O3, the antisite’s coordination number is smaller. Therefore, the formal charge of the antisite defect cannot be decided based on distances and coordination. Similarly, the antisite’s formal charge in LaCoO3 cannot be decided: the antisite–O distances are smaller than the TM–O distance in the bulk LaCoO3 but the antisite’s coordination number is smaller.

Table 6.

The formal charges Qformal and Bader charges QBader of transition metal (TM) ion, distances between the TM and nearest O ions, and O coordination numbers around a TM ion in different transition metal oxides. The parenthesis value indicates the number of bonds of the bonding distance.

System Qformal QBader TM-O distances (Å)
MnO + 2 + 1.36 2.25(×6)
LaMnO3 + 3 + 1.67 1.97(×2), 1.99(×2), 2.08(×2)
MnO2 + 4 + 1.89 1.88(×6)
FeO + 2 + 1.34 2.17(×6)
Fe2O3 + 3 + 1.84 1.93(×3), 2.14(×3)
LaFeO3 + 3 + 1.81 2.00–2.02(×6)
CoO + 2 + 1.21 +1.96(×4)
LaCoO3 + 3 + 1.63 2.00(×6)

In order to estimate the formal charge of the antisite defects, we calculated their Bader charges107110 for the electronic densities given by LDA+U method. For the LaMnO3 case, Mn atoms in the bulk structure have larger Bader charge (1.67 e) than the antisite defect’s (1.43 e). This supports the discussion in the prior paragraph that the antisite defect’s formal charge is smaller than +3. For the LaFeO3 case, the antisite defect has the same Bader charge as the Fe atoms’ in the bulk structure (1.78 e). However, the Fe atoms labeled “(reduced)” in Figure 5 have smaller Bader charges (1.59 e): their formal charges are smaller than +3. On the other hand, for the LaCoO3 case, the antisite and the other Co ions have similar Bader charges to the Co atoms’ in the bulk LaCoO3.

The Bader charges of La atoms in the bulk LaMO3 (2.14 e) are significantly larger than the antisite defects’. Therefore, the antisite defects could disturb the local charge neutrality. Positively charged antisite defects could be more easily formed when the Fermi energy is lower. It remains to be investigated in the future how the antisite defect formation energies depend on the defect charge and Fermi energy. The neutral defects do not depend on the Fermi energy and are thus an upper bound for the formation energies of these defects. While very high or very low Fermi energies may lower the energies of charge defects below the neutral ones, the existence of charge defects will not change the main conclusion of this work since it can lower their formation energy further.

Defect’s contributions to the density of states

Figure 4 shows the PDOS of LaMnO3 without defects, with antisite defects, and with oxygen vacancies. The PDOS of LaFeO3 and LaCoO3 are given in the SI. The total magnetizations were obtained in DFT, without the restriction used in FNDMC that constrains the magnetization value to be an integer. We obtained different total magnetization from the trial wave functions for LaMnO3 with antisite defects (45.05 μB) and for LaMnO3 with oxygen vacancies (00.15 μB). However, the energy differences were less than 0.016 eV/atom.

LDA+U with the optimal U values yielded by FNDMC reproduced earlier reports that the bulk LaMO3 (M = Mn, Fe, and Co) are insulators. However, the LaMnO3 band gap given by LDA+U was 0.08 eV, which is significantly smaller than the experimental values, 1.7 and 1.9 eV111,112. In our previous work, PBE+U also underestimated the band gap (0.2 eV) and FNDMC reasonably reproduced the experimental value (2.3(3) eV)54. DFT with a hybrid functional also gave 2.3 eV113 so the Hubbard U correction alone would not be enough to obtain the band gaps of LaMnO3. The LaFeO3 band gap given by LDA+U was 2.77 eV, which is close to a reported value of 2.37 eV, which was produced by applying Tauc models to experimental data114. The LaCoO3 band gap given by LDA+U in our work16 was 1.94 eV, which is significantly larger than the experimental band gap of 0.5 eV115,116. However, these experiments reported a non-magnetic state, whereas we found the AFM state for a theoretical defect-free material. The reasons of disagreement between theory and experiments on the magnetic ground state of LaCoO3 remains a subject of active research. Regarding the gap, we found that the band gap of the NM state of LaCoO3 is 1.390 eV by LDA+U, which is closer to the experimental value.

Among the bulk structures, only LaMnO3 has small density of states (DOS) around the Fermi energy, in agreement with an experiment111. They found that states exist around the Fermi level originating mainly from eg orbitals of the d-shell in Mn. They also observed that a large splitting exists between t2g and eg orbitals, and a small splitting is also in the eg orbitals. They explained that the small splitting is attributed to the Jahn–Teller distortions of the octahedral crystal field. Consequently, a significantly smaller band gap exists for LaMnO3 than for the other two perovskites in our results. Our results show that point defects can turn LaMnO3 metallic. Figure 4b and c indicate that antisite defects (oxygen vacancies) yield p-type (n-type) conductivity: antisite defects (oxygen vacancies) cause the Fermi energy to shift toward the valence (conduction) band. The shift of Fermi energy with charge neutral oxygen vacancies may be because of reduction of the system. Formation of +2 charged oxygen vacancies may inversely shift the Fermi energy toward the valence band. For LaFeO3 and LaCoO3, the antisite defects create defect energy levels in the band gap of the bulk structure. As a result, the band gap is reduced from 2.37 to 0.65 eV for LaFeO3 and from 1.92 to 1.11 eV for LaCoO3. The oxygen vacancies also narrow the band gap of LaCoO3 from 1.92 to 1.12 eV and make LaFeO3 conductive, producing an isolated DOS peak around the Fermi energy; the experimental disappearance or narrowing of the band gap could be evidence of formation of point defects.

Conclusion

We studied the charge neutral antisite defects and oxygen vacancy formation energies of LaMO3 (M = Mn, Fe, and Co) by FNDMC. Our calculations predicted a relative abundance of antisite defects for the cases of M = Mn and Fe, comparable with or higher than the oxygen vacancies, at the M-rich and O-poor conditions.

The transition metal atoms studied have significantly fewer electrons (25, 26, and 27) than La (57). Therefore, the presence of antisite defects should be difficult to observe in transmission electron microscopy experiments because the presence of antisite defects would be masked by the La atoms on the same column. However, we found that antisite defects affect the electronic and magnetic properties of the perovskite host. Our PDOS analyses showed that the antisite defects make the LaMnO3 metallic introducing holes and energy levels inside the band gap of LaFeO3 and LaCoO3. Mid gap levels could be a signal that antisite defects have formed in experiments. Our FNDMC calculations also showed that the antisite defects have local magnetization.

Supplementary Information

Acknowledgements

We would like to thank Ho Nyung Lee for a critical reading of the manuscript and for references. We would like to thank Erica Heinrich for a technical editing and related corrections. Work by T.I., K.S., J.T.K., and F.A.R. (original idea, project management, manuscript writing) was supported by the US Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division. P.R.C.K and Y.L. (code development, analysis, manuscript contributions) were supported via the Computational Materials Sciences Program and Center for Predictive Simulation of Functional Materials by Materials Sciences and Engineering Division. We acknowledge computational resources provided by the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is a user facility of the Office of Science of the US Department of Energy under Contract No. DE-AC05-00OR22725, and by the Compute and Data Environment for Science (CADES) at Oak Ridge National Laboratory. We acknowledge computational resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract No. DE-AC02-06CH11357. We acknowledge computational resources of the Research Center for Advanced Computing Infrastructure (RCACI) at JAIST.

Author contributions

T.I., K.S., J.K., and F.R. conceived the idea. T.I. and K.S. performed the calculations. J.K., Y.L., and P.K. developed the code and supported the calculations. F.R. supervised the work. All authors contributed to the discussion and writing of the paper.

Data availability

The calculation data for the results in this study is available from the corresponding authors on request.

Competing Interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Tom Ichibha, Email: ichibha@icloud.com.

Fernando A. Reboredo, Email: reboredofa@ornl.gov

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-023-33578-1.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The calculation data for the results in this study is available from the corresponding authors on request.


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