Open Access Article
Julie-Ann Hoffman
a,
Enrico Sirecib,
Thobani Gambu
a,
Dmitry I. Sharapa
b,
Felix Studt
bc and
Eric van Steen
*a
aCatalysis Institute, Department of Chemical Engineering, University of Cape Town (UCT), P.O. Box X3, Rondebosch 7701, Cape Town, South Africa. E-mail: eric.vansteen@uct.ac.za
bInstitute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany
cInstitute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
First published on 22nd June 2026
Bridging the gap between theoretically predicted and measured metal oxides charges is crucial when using synergistically computational and experimental techniques to ensure reliability of the models. Manganese oxide, with its wide range of oxidation states, is an ideal candidate for probing this relationship. Here, we conducted a magnetic moment and Bader charge analysis using two different exchange correlation functionals, i.e. RPBE and BEEF-vdW, both with DFT (U = 0 eV) and DFT+U (U = 2.5 eV), on several bulk and cluster manganese oxides with formal Mn oxidation states ranging between +1 and +7. We found that the relationship between Mn formal oxidation states and magnetic moments in both bulk and molecular structures can be described accurately by a quadratic fit. In comparison, the relationship between formal oxidation states and Bader charge is more uncertain, and could be fit by a single hyperbolic function only upon correction of the formal oxidation state via the Madelung constant. Finally, we employed the derived correlations to predict the formal oxidation state of Mn in different MnxOyHz clusters on fcc-Co(111). Both methods predict that the Mn oxidation states largely do not align with the stoichiometry of the clusters. While the magnetic moments correlation always yielded Mn oxidation states of +2, the results obtained from the Bader charges were more dependent on the cluster stoichiometry.
Here, we attempt to resolve the relationship between these charge definitions by investigating both spin and charge density for manganese in manganese oxide bulk structures and clusters as well as manganese oxides clusters deposited on a metal.
Manganese oxides are a unique class of compounds due to their wide range of oxidation states (commonly +2, +3, +4, ranging up to +7) and complex magnetic behaviours. Owing to this, these materials have a variety of potential applications in electrode materials for batteries16–18 as magnetic materials for transformer cores19–22 and in catalysis.23 In the latter field, one of the applications of Mn oxide is promotion of cobalt-based Fischer–Tropsch catalysts to boost their activity and C5+ selectivity, where it is expected to be present as oxidic clusters on the catalytically active cobalt metal surface.24–29 More generally, transition metal (TM) oxide clusters on metal surfaces, such as CeOx on Cu3, Au30 and Ag,31 TiOx on Pt32 and FeOx on Pt,33 are widely discussed systems in catalytic applications, and in particular when the focus is on so-called “inverse” catalysts, that are usually studied to better understand the electronic metal–support interactions.34 When investigating these systems, DFT calculations are routinely used in combination with experimental techniques to elucidate the role of the TM oxides structures. In this regard, experiments often measure TM oxidation states, that can in principle be used to rationally guide the definition of the computational models. Nevertheless, the correlation between measured oxidation state and actual cluster stoichiometry is complicated by the presence of the metal surface that acts as a reservoir of electrons, which may compensate for the charge transfer from the TM centres to the binding oxygen anions.
Different methods have been developed within the DFT formalism to infer atomic charges from the electron density (ρ),35 of which probably the most popular is the Bader model.36–38 In this framework, (Bader) volumes are defined around the atoms considering electron density zero-flux surfaces (∇ρ(r)·n(r) = 0) as spatial boundaries, and the electron density is consequently integrated over these volumes to assign partial atomic charges. A fundamentally different approach is to rely on the atomic magnetic moments to resolve TM ions valence, that are obtained by integrating the difference between the spin-up and spin-down electron densities within a certain portion of volume, that can either be a sphere centred on the atom with a radius defined by the user, or the atomic orbitals (defined according to the employed basis set) onto which the electron density is projected.39–42 Nonetheless, both the Bader charges and the atomic magnetic moments cannot be used directly to derive the formal oxidation state, which is the quantity that experimentalists using techniques such as X-ray absorption spectroscopy (XAS) and X-ray photoelectron spectroscopy (XPS) refer to.
In this work, the relations between the formal oxidation state of manganese oxides and calculated Bader charges and atomic magnetic moment on the Mn centre were investigated using the RPBE and BEEF-vdW XC functionals, both with DFT and DFT+U. Manganese oxide bulk and gas-phase molecular structures with known formal oxidation states were evaluated, from which we derived correlations to describe changes in the formal Mn valence with Bader charges and atomic magnetic moments. Finally, we employ the derived correlations to predict the oxidation state of several MnxOyHz clusters on fcc-Co(111) as a case study. Our results show that while the dependency of the formal oxidation state on the atomic magnetic moments is rather well-defined for both cluster and bulk Mn oxide structures, that on the Bader charges is more uncertain. We found that the two approaches can yield moderately different quantitative results, but both predict that charge transfer from the Co surface prevents Mn from assuming an oxidation state ≥+3. Overall, this study presents a method for correlating theoretical calculations and experimental observations, and it is postulated that it may be useful for understanding the electronic charge present in other systems.
DFT methods have the tendency to underestimate electronic properties, particularly for metal oxides.51 In this study, the use of a single calibrated value for the Hubbard (U) correction or DFT+U method52 with Ueff = 2.5 eV was investigated as an approach to compensate this underestimation. This was the optimal value found upon Ueff calibration by matching the calculated and experimental ΔH0rxn of oxidation of MnO to Mn3O4, Mn2O3 and MnO2.35,37 However, it must be noted that for complex systems such as manganese oxides that exhibit multiple spin configurations and varying oxidation states, that the fitting accuracy of a U parameter is not straightforward.53,54 (see Ueff calibration given in Section S1 in the SI, for more detailed explanation). Furthermore, to reveal any systematic errors that may occur while employing a single U value across all the systems, DFT calculations of all computational models used for deriving the oxidation state correlations were carried out both with and without the Hubbard correction.
| 3MnO + H2O → Mn3O4 + H2 | (1) |
| 2MnO + H2O → Mn2O3 + H2 | (2) |
| MnO + H2O → MnO2 + H2 | (3) |
| ΔH0rxn = ΔH0f(MnxO(x+1)) + ΔH0f(H2) − xΔH0f(MnO) −ΔH0f (H2O) | (4) |
m, #225) with Mn2+ and O2− present in 6
:
6 octahedral coordination and modelled with an antiferromagnetic (AFM) ordering along the (111) planes. Manganese(III)oxide,58 α-Mn2O3, a cubic bixbyite structure (space group Ia
, #206), was modelled as a tetragonal phase, with O2− coordinated to Mn3+ in a dislocated octahedral position with the Mn ions present in a ferromagnetic (FM) arrangement. Manganese(II,II)oxide,59 Mn3O4, known as hausmannite, was modelled as spinel structure (space group I41/amd, #141), with Mn2+ occupying the tetrahedral sites and Mn3+ occupying the octahedral sites within the crystal where the Mn ions are present in FM ordering. Manganese(IV)oxide,60 β-MnO2, is modelled as a tetragonal lattice (space group P42/mnm, #136). The octahedral configuration of Mn4+ and O2− are modelled with AFM magnetic ordering. Several manganese oxides and manganese hydroxide clusters were investigated in this study with an assigned oxidation state ranging from +1 to +7. These clusters were modelled in asymmetrical unit cells with dimensions of 12 Å × 13 Å × 14 Å (see Table S4).
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| Fig. 1 Bulk crystalline structures of manganese oxides with Mn oxidation state ranging from +2 to +4, and clusters of manganese oxide and manganese hydroxides with Mn oxidation state ranging from +1 to +7, visualized using VESTA61 (Mn: purple; O: red; H: white). | ||
Due to the varying oxidation states, Mn oxides exhibit complex magnetic behaviour as well as different spin orientations.7 In this study, the bulk Mn oxides were calculated with AFM ordering for MnO and MnO2, while Mn3O4 and Mn2O3 had FM ordering. This is evident in Table S6, from the signs (+/−) associated with the up/down spin orientation of the magnetic moments for each Mn in the bulk Mn oxides. The magnetic moments (µB) of both the bulk and cluster Mn oxide structures were investigated (see Table 1 and Table 2 for the RPBE XC functional). Both XC functionals had similar magnetic moments, for each DFT (U = 0 eV) or DFT+U (U = 2.5 eV) approach taken, where the standard deviation between the RPBE and BEEF-vdW XC functionals, were ±0.01µB and ±0.02µB, for DFT and DFT+U, respectively (see Table S7). The Hubbard correction had a bigger effect since the magnetic moments calculated with optimal Ueff = 2.5 eV were notably higher than those calculated with U = 0 eV and closer to experimental values, thus showing that DFT+U improves the description of the magnetic moments.
| Formal oxidation state on Mn | Average magnetic moment on Mna (µB) | ||
|---|---|---|---|
| DFT (U = 0 eV) | DFT+U (U = 2.5 eV) | ||
| a Magnetic moments are reported as absolute values. | |||
| MnOH | +1 | 4.66 | 4.79 |
| MnO | +2 | 3.91 | 4.19 |
| Mn(OH)2 | +2 | 4.28 | 4.46 |
| MnO(OH) | +3 | 3.67 | 4.10 |
| Mn(OH)3 | +3 | 3.56 | 3.80 |
| MnO2 | +4 | 2.68 | 3.17 |
| MnO(OH)2 | +4 | 2.70 | 3.02 |
| MnO(OH)3 | +5 | 1.76 | 2.07 |
| MnO2(OH)2 | +6 | 0.92 | 1.18 |
| Mn2O7 | +7 | 0.00 | 0.00 |
| MnO3(OH) | +7 | 0.00 | 0.00 |
The Mn oxide clusters showed similar atomic magnetic moments to their bulk Mn oxide counterparts, in particularly for the DFT+U (U = 2.5 eV) approach. MnO and Mn(OH)2 clusters have an atomic magnetic moment of ∼4.2µB and 4.5µB, which is similar to that of bulk MnO that has a magnetic moment of ∼4.6µB. The high atomic magnetic moment is consistent with the high spin 3d5 configuration of Mn2+. A similar high magnetic moment was seen for MnO(OH) (4.2µB) and Mn(OH)3 (3.8µB) clusters, which is comparable to the atomic magnetic moment of bulk Mn2O3 of ∼4.0µB, in line with the high spin 3d4 configuration of Mn3+. Lastly, the MnO2 and MnO(OH)2 clusters had magnetic moments of ∼2.9µB and 3.0µB, respectively corresponding well with the atomic magnetic moment ∼2.9µB of bulk MnO2 and the high spin 3d3 configuration of Mn4+.
Fig. 2 displays the relationship between the assigned formal oxidation state on Mn for the bulk and clusters of Mn oxide and their magnetic moments for the RPBE XC functional (See Fig. S3 for the corresponding data for the BEEF-vdW XC functional). It is shown that the atomic magnetic moments vs. formal oxidation state correlations are remarkably well described by a quadratic fit, with R2 values of 0.99 for RPBE, RPBE + U, BEEF-vdW and BEEF-vdW+U. This gradual decrease in magnetic moment, displayed by the quadratic fit, with increasing formal oxidation state is consistent with strong metal–ligand covalency.68 Furthermore, this progressive Mn 3d orbital depopulation is exhibited by the decrease in the pDOS peaks of gas-phase molecular structures, with increasing assigned formal oxidation state (see Fig. S4). Interestingly, for oxidation state ≥3, we report a near 1
:
1 correspondence between the increase in formal oxidation state and the decrease of the atomic magnetic moment reflecting the progressive depopulation of the Mn 3d orbitals and reveals that it is possible to almost directly infer the Mn valence from its magnetic moment. Importantly, we show that a single relation is suitable to describe simultaneously both bulk and gas-phase molecular structures, suggesting that this approach can be successfully applied to systems that are qualitatively very different. To access the reliability of the data correlation seen, the VASP on-site-partial charge densities69 of Mn for the RPBE XC functional (U = 0) were compared to the atomic magnetic moment values. This charge population analysis method uses same charge partitioning that is utilised for the magnetic moment, which is based on the integration of projection of localised orbitals onto atomic spheres defined by the PAW method, which are decomposed into their local quantum numbers (l·m).69 The linear correlation between the on-site partial charge densities and atomic magnetic moments was found to be in fair agreement with R2 value of 0.89 in the parity plot (see Fig. S5). Additionally, the DDEC6 atomic population analysis70 was performed to ensure that the results shown were not dependent on approach used. This method is the revision of density derived electrostatic and chemical (DDEC) approach, where the charge and spin partitioning are based on atom-centered integration grids, and includes core electron density correction.70,71 Here, the trend seen for the atomic magnetic moments was evaluated against the atomic spin moments (ASMs) derived from DDEC6 atomic population analysis (the spin moments are in fair agreement with each other with a R2 value of 0.91 in the parity plot; see Fig. S6).
| Formal oxidation state on Mn | Bader charge on Mn (e) | ||
|---|---|---|---|
| DFT (U = 0 eV) | DFT+U (U = 2.5 eV) | ||
| MnO | +2 | +1.334 | +1.357 |
| Mn3O4 | +2 | +1.456 | +1.461 |
| Mn3O4 | +3 | +1.602 | +1.645 |
| Mn2O3 | +3 | +1.636 | +1.663 |
| MnO2 | +4 | +1.770 | +1.824 |
Table 4 displays the average Bader charge per manganese atom in the manganese oxides and manganese hydroxides clusters that were investigated for the RPBE XC functional, calculated using DFT (U = 0 eV) and DFT+U (U = 2.5 eV) (see Table S9 for the corresponding data for the BEEF-vdW XC functional). Similarly, to the trends seen for the bulk crystalline structures, as the assigned formal oxidation state increases, the Bader charge for DFT and DFT+U method increases as well. Additionally, as seen in the bulk Mn oxides, the different XC functionals result in similar Bader charge values for manganese in Mn oxide clusters with an average difference ≤2%. Furthermore, the Bader charge for manganese in MnxOyHz clusters was on average ≤5% higher, when calculated using the DFT+U method compared to the Bader charge calculated using the DFT (U = 0 eV) method. Notably, given the formal oxidation state, the nature of the ligands binding to Mn can significantly affect the calculated Bader charge. For example, for the RPBE XC functional we observe a difference in the Bader charge on manganese in MnO and Mn(OH)2 of 0.377e and 0.446e for DFT (U = 0 eV) and DFT+U (U = 2.5 eV) method, respectively, although the same formal oxidation state is identical in both systems. Interestingly, we observe that the Bader charge vs. oxidation state relation is somewhat inconsistent for bulk Mn oxides as well with Mn2+ ions in bulk MnO and Mn3O4 displaying a notable Bader charge difference of 0.122e and 0.104e for the DFT (U = 0 eV) and DFT+U (U = 2.5 eV) method, respectively.
| Formal oxidation state on Mn | Bader charge on Mn (e) | ||
|---|---|---|---|
| DFT (U = 0 eV) | DFT+U (U = 2.5 eV) | ||
| MnOH | +1 | +0.639 | +0.677 |
| MnO | +2 | +0.825 | +0.822 |
| Mn(OH)2 | +2 | +1.202 | +1.268 |
| MnO(OH) | +3 | +1.239 | +1.262 |
| Mn(OH)3 | +3 | +1.533 | +1.582 |
| MnO2 | +4 | +1.316 | +1.359 |
| MnO(OH)2 | +4 | +1.556 | +1.602 |
| MnO(OH)3 | +5 | +1.711 | +1.737 |
| MnO2(OH)2 | +6 | +1.711 | +1.566 |
| Mn2O7 | +7 | +1.771 | +1.719 |
| MnO3(OH) | +7 | +1.773 | +1.640 |
Fig. 3 displays the Bader charge on manganese in bulk manganese oxides and in MnxOyHz clusters as a function of its formal oxidation state, for both DFT (U = 0 eV) and DFT+U (U = 2.5 eV) methods using the RPBE XC functional (see Fig. S7 for the BEEF-vdW XC functional) to evaluate the relationship between the Bader charge of the bulk structures and clusters of Mn oxides studied. For this brief analysis, only data points with a formal oxidation state up to and including +4 were considered. Overall, the linear fit between the Bader charge and the formal oxidation state is poor, with a R2 value is 0.55 for both the DFT (U = 0 eV) and DFT+U (U = 2.5 eV) method. Thus, indicating that this current model is not robust. Nevertheless, the p-value for the slopes was 0.00564 and 0.00561, respectively, which is significantly lower than significance level of 0.05 implying a correlation between the Bader charge and the formal oxidation state. In addition, the trend seen for the Bader charge on Mn for the RPBE was also evaluated against the net atomic charges (NACs) derived from DDEC6 atomic population analysis.70 Here, similarly to the magnetic moments, the Bader charge and the NAC were found to be in fair agreement with each other with a R2 value of 0.90 in the parity plot(see Fig. S9). Furthermore, it can be observed that the Bader charge on manganese for bulk manganese oxides were positioned above the line-of-best-fit, whilst the Bader charge of manganese in the clusters were mainly positioned below the line-of-best-fit. It is thus apparent that Bader charge-formal charge relationship for manganese in bulk manganese oxide and in MnxOyHz clusters and bulk Mn oxide structures are not identical.
The Bader charge originates from the spatial distribution of the electron density, which in periodic systems is not only affected by the presence of adjacent ions, but also by the long-range coulombic interactions typically captured by the structure-dependent Madelung constant, a dimensionless quantity to account for the total coulombic interactions of the ions in a crystal structure.72,73 As such the incorporation of the Madelung constant should result in a better description of the electrostatic contributions to the electron density. Henceforth, it can be argued that the Bader charge on manganese in a periodic, ionic structure is not only affected by the formal oxidation state of manganese, but rather by the electro-static contribution induced by manganese given by an effective charge, i.e., the formal oxidation state of manganese in an ionic structure attenuated by the Madelung constant. A crude approximation approach was initially employed to determine the Madelung constants for the bulk manganese oxides using Ewald summation implemented via VESTA61 software (see Table S10). However, to improve reliability, the literature-reported Madelung constants of 1.748, 2.400, 2.408 and 4.172 for MnO, Mn2O3, MnO2 and Mn3O4, respectively, were utilised.74 Fig. 4 shows the Bader charge determined using for DFT (U = 0 eV) and DFT+U (U = 2.5 eV) as a function of the formal oxidation state that has been modified with Madelung constant for periodic systems. The Bader charge as a function of the modified formal oxidation state now falls on a single curve, which is best described using a hyperbolic function (see Fig. 4 for the RPBE functional and Fig. S8 for the BEEF-vdW XC functional) with a limit value of 1.8e independent of the XC functional used.
The limit-value for the Bader charge on manganese was determined to be 1.8e. The presence of a limit value can be ascribed to a “charge self-regulation” effect.75 Valence electrons around manganese are involved in bonding and anti-bonding orbitals with the surrounding oxygen anions. The bonding state will shift upon changing the formal oxidation state of manganese with the bonding state shifting towards the manganese cation upon increasing the oxidation state, thus compensating for the change in the formal charge.75,76 Furthermore, to reveal if this trend was unique to Mn bonded to O(H), the relationship between the bonded anion was investigated by substituting the O with S and Se, here it was found that this trend is prominent for oxygen which may be owing to its strong electronegative character in comparison to S and Se (see Fig. S10).
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| Fig. 5 MnxOyHz clusters on Co(111), ranging in order of complexity and size, with formal oxidation states ranging from +2 to +6, visualised using VESTA61 (Mn: purple, Co: blue; O: red; H: white). | ||
| MnxOyHz-Co(111) | Assigned formal oxidation state on Mn | Average magnetic moment on Mna (µB)/predicted oxidation state | Bader charge on Mna (e)/predicted oxidation state |
|---|---|---|---|
| a Magnetic moments are reported as absolute values. | |||
| MnO | +2 | 4.5/+2 | +0.766/+1 |
| MnO2 | +4 | 4.2/+2 | +1.053/+2 |
| Mn2O3H | +5 | 4.4/+2 | +1.103/+2 |
| MnO3 | +6 | 4.4/+2 | +1.239/+3 |
| Mn32O32 | +2 | 4.5/+2 | +1.282/+3 |
| Mn5O13H4 | +4/+5 | 4.6/+2 | +1.396/+3 |
| Mn14O29H12 | +3/+4 | 4.6/+2 | +1.432/+3 |
Interestingly, we note that both approaches predict that the cluster stoichiometry is mostly disconnected from the Mn oxidation state: in particular, oxidation states ≤+3 are always predicted even when, just based on cluster composition, we would expect oxidation states ≥+4. This suggests the existence of a charge transfer from the Co surface that prevents further oxidation of Mn (see Fig. 6).
The marked tendency of Mn to maintain the divalent state, especially predicted by the magnetic moment correlation, can be tentatively ascribed to the particularly stable electronic configuration of Mn2+, namely [Ar]3d5, where the maximum exchange between pairs of parallel-spin electrons significantly reduces the coulombic potential energy. This is in line with several experimental studies predominantly reporting Mn in the +2 state when added as a promoter in Co Fischer–Tropsch catalysts.77–79 Thus, we argue that the metal surface, acting as an electron reservoir, donates charge to the adsorbed clusters to alleviate the increase in Mn oxidation state, which causes the formal oxidation state to significantly deviate from the cluster stoichiometry. This underscores the importance of the correlations derived here, that serve as a powerful tool to reconcile experimentally measured Mn oxidation states with calculated theoretical models.
The obtained correlations were then applied to estimate the oxidation state of several MnxOyHz clusters adsorbed on fcc-Co(111). While the predicted Mn oxidation states derived from the magnetic moments were found to be always roughly +2, those calculated according to the Bader charges mildly changed depending on the cluster stoichiometry with values mostly between +2 and +3. Both correlations yielded similar values and revealed that the Mn oxidation states in the MnxOyHz clusters on the fcc-Co(111) do not align with their cluster stoichiometry. Different results for the oxidation state may be obtained depending on the measurement tool. The atomic magnetic moments correlation was found to be more consistent across different compounds (both bulk and gas-phase molecules) and may be a better indicator for the charge. This may be owing to the spin density being localised at the metal for 3d transition metals,80 and thus the subtraction of spin-up and spin-down electrons is less prone to error associated with introduced by the boundary of the electron density belonging to an atom. Overall, this work established a method to predict the equivalent formal oxidation state of clusters of manganese oxides adsorbed on metal surfaces. Importantly, this method can enhance the synergy between experiments and theoretical calculations, ultimately facilitating mechanistic understanding and catalyst design. Lastly, the connection between experimental and theoretical data established here can become particularly relevant in light of the recent advances in machine learning interatomic potentials, which enable a substantial computational speed-up hence fast-tracking the surveying of multiple configurations of various chemical compounds81 that need to be compared against experimental data.
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