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Bridging calculated charges and formal oxidation state of manganese oxides: a DFT/DFT+U study

Julie-Ann Hoffmana, Enrico Sirecib, Thobani Gambua, Dmitry I. Sharapab, Felix Studtbc 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

Received 12th March 2026 , Accepted 22nd June 2026

First published on 22nd June 2026


Abstract

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.


Introduction

The concept of formal oxidation state assigned to ions in a structure is central to our understanding on the structure and chemistry of materials.1 However, metal atoms in ionic structures are more accurately describe by partial charges, arising from a partial covalency (and partial ionicity) of the bonds. Nevertheless, the ionic model remains prevalent in describing transition metal oxides,2 which may lead to an incorrect prediction and understanding of their properties. For instance, Yang et al.3 calculated the Bader charge for Ce in CeO2 and Ce2O3 on Cu(111) surface; these were found to be +2.27e and +2.02e, respectively. This is much lower than their formal oxidation state of +4 and +3. Due to this mismatch, the authors extrapolated the value of Ce in the cluster to obtain a formal oxidation state of +2.93e. This alludes to a disconnect between the understanding of the electronic charge present within a bulk crystalline structure compared to clusters which are studied on surfaces. The relation between formal and physical oxidation state has been extensively researched in the field of molecular transition metals over decades to connect theoretical predictions and experimental measurements.4–14 The physical oxidation state is defined measured electron density localised on an atom which can be evaluated by both spin density and charge density distributions using computational chemistry quantum mechanical methods.15

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(rn(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.

Computational details

DFT calculations

Spin-polarized quantum chemical calculations were performed using the Vienna Ab Initio Simulation Package (VASP) code.43,44 The generalized gradient approximation (GGA) exchange correlation (XC) functionals RPBE45 and BEEF-vdW46 were used with the projector augmented wave (PAW) method.47,48 Plane wave basis set with kinetic energy cut-off of 600 eV and 400 eV were used for the bulk crystalline structures and the clusters of manganese oxides, respectively. The Brillouin zone was sampled using a Monkhorst–Pack k-point grid49 of 8 × 8 × 12 for bulk MnO2, 6 × 6 × 4 for bulk Mn3O4, 4 × 4 × 4 for bulk MnO and bulk Mn2O3 and a k-point grid of 1 × 1 × 1 for all gas-phase clusters. Additionally, a k-point grid density of ∼36 k-points per Å−1 was employed for all MnxOyHz clusters on fcc-Co(111). The convergence threshold for the self-consistent field cycles was set at 10−6 eV and a Gaussian smearing with a width of 0.1 eV was applied for all studied structures. Ionic convergence was achieved when the maximum force acting on the atoms was below 0.01 eV Å−1. Four layers fcc-Co(111) slabs were employed, of which the bottom two layers were frozen in their bulk configuration, while the upper two layers were allowed to relax. At least 20 Å of vacuum was included in the slab models. Bader charge analysis36–38,50 was performed on the optimized structures of the bulk crystalline and clusters of manganese oxides in order to evaluate the electronic charge present on manganese.

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)
The ΔH0rxn for reactions (1)–(3) were calculated using
 
ΔH0rxn = ΔH0f(MnxO(x+1)) + ΔH0f(H2) − xΔH0f(MnO) −ΔH0f (H2O) (4)
using H2O and H2 as the oxidation couple to avoid including O2 in the calculations, whose bond energy is overestimated by GGA functionals.45,55,56 We have included the ZPE and enthalpy change contributions both for the gas-phase molecules and investigated solids. Further details about the calculation of the phonons in the investigated bulk structures are given in Section S1 in the SI.

Computational models

Fig. 1 displays the models of the various bulk structures and clusters of manganese oxides that were studied. Manganese(II)oxide,57 MnO assumes a rock salt structure (space group Fm[3 with combining macron]m, #225) with Mn2+ and O2− present in 6[thin space (1/6-em)]:[thin space (1/6-em)]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[3 with combining macron], #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).
image file: d6cp00917d-f1.tif
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).

Results and discussion

Geometric and magnetic structure

The geometry and magnetic properties of the optimised bulk Mn oxides structures and clusters were assessed by examining the lattice constants of the bulk Mn oxides, the bond lengths of the Mn oxide clusters and the spin orientations in the bulk Mn oxides, as well as magnetic moments for all structures. Table S3 shows the calculated crystal lattice parameters for DFT (U = 0 eV) and DFT+U (U = 2.5 eV) for both RPBE and BEEF-vdW XC functionals, and experimental lattice constants for the crystalline structures sourced from literature.57,62–64 The calculated crystal lattice constants for all the bulk MnO, Mn3O4, Mn2O3 and MnO2 structures were found to be in good agreement with the experimental values, where the relative percent error was between 0.9–3.0%. In particular, the lattice constants calculated with the DFT+U method, were smaller relative values obtained with plain DFT. Whilst comparison across the different XC functionals showed that bulk Mn oxides calculated with RPBE were larger relative to the BEEF-vdW XC functional. The bond lengths for the Mn oxide clusters were found to be within the typical range reported in literature for Mn–O bond lengths 1.61–1.83 Å65,66 (see Table S5 for both the RPBE and BEEF-vdW XC functionals, respectively). Notably, unlike the trend seen for lattice constants in the bulk Mn oxide structures, the bond lengths calculated with DFT+U (U = 2.5 eV) were slightly larger compared to those calculated without the Hubbard correction. This elongation in bond length has been reported in literature and is postulated to occur due to increased electron localization narrowly distributed over the small clusters, even though it is dependent on the system studied.67

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.

Table 1 Calculated magnetic moment using RPBE XC functional on Mn in bulk crystalline manganese oxide
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.
MnO +2 4.36 4.54
Mn3O4 +2/+3 3.98 4.14
Mn2O3 +3 3.76 3.96
MnO2 +4 2.60 2.94


Table 2 Calculated magnetic moment using RPBE XC functional on Mn in MnxOyHz clusters
  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[thin space (1/6-em)]:[thin space (1/6-em)]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).


image file: d6cp00917d-f2.tif
Fig. 2 Assigned formal oxidation state on Mn for the manganese oxides studied vs. their magnetic moments for both DFT (U = 0 eV) and DFT+U (U = 2.5 eV) method for the RPBE XC functional (open symbols: bulk manganese oxide; solid symbols: MnxOyHz clusters; OS: oxidation state).

Bader charge analysis

Table 3 shows the obtained averaged Bader charge per manganese atom in the various bulk Mn oxide structures of assigned formal oxidation state for manganese, for RPBE XC functional calculated using DFT (U = 0 eV) and DFT+U (U = 2.5 eV), respectively (see Table S8 for corresponding data for BEEF-vdW XC functional). For the Bader charge calculations, it is evident that an increase in assigned formal oxidation state of manganese corresponds to an increase in the Bader charge calculated with both XC functionals and for both the DFT and DFT+U method. The two functionals yield nearly the same Bader charge values for Mn with differences ≤2%. The DFT+U calculations of the bulk Mn oxides, excluding charge for the bulk Mn2O3 for the RPBE XC functional, resulted in higher Bader charge than the Bader charge on manganese in the clusters. As the DFT+U method has an additional on-site potential of 2.5 eV on each manganese atom, it is expected that Bader charge values would be higher than obtained with DFT(U = 0 eV). This may be negated by the elongation in the lattice parameters (see Table 3 and Table S3) in the optimised bulk Mn oxides when using the Hubbard correction.
Table 3 Calculated net Bader charge using RPBE XC functional on Mn for bulk crystalline manganese oxides
  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.

Table 4 Calculated Bader charge using RPBE XC-functional on Mn in MnxOyHz clusters
  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.


image file: d6cp00917d-f3.tif
Fig. 3 Bader charge present on Mn vs. their assigned formal oxidation state for both DFT (U = 0 eV) and DFT+U (U = 2.5 eV) method for the RPBE XC functional (open markers: bulk manganese oxide; solid markers: MnxOyHz clusters; OS: oxidation state).

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.


image file: d6cp00917d-f4.tif
Fig. 4 Bader charge as a function the formal oxidation state modified by Madelung constant of bulk manganese oxides (open symbols: bulk manganese oxides; solid symbols: MnxOyHz clusters; OS: oxidation state; dotted curve: best fit tanh-function).

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).

MnxOyHz clusters on fcc-Co(111)

The magnetic moment and Bader charges on Mn on MnxOyHz-Co(111) were evaluated to assess the applicability of the calculated charge correlations on catalyst surfaces. Fig. 5 displays the chosen MnxOyHz clusters which varied in both ligand complexity and assigned formal oxidation states ranging from +2 to +6. The clusters varied from linear to more complex 3D shapes. For instance, the Mn32O32 had a cube-like appearance whilst the Mn5O13H4 and Mn14O29H12 were pyramidal in nature. The calculated magnetic moment on Mn for all the MnxOyHz-Co(111) clusters is ≈4.5µB (see Table 5) which correlates with a Mn oxidation state of +2. Despite considering clusters with very different formal oxidation states, the magnetic moment remains fairly constant. This suggests that the charge redistribution is largely delocalised as the changes in assigned formal oxidation state did not correspond to changes of the population of the Mn 3d orbital, from which the calculated atomic magnetic moment is predominately derived. Whilst, the calculated Bader charges did show some variation in their values, as it was seen that they also mainly correlate with oxidation states of +2 and +3.
image file: d6cp00917d-f5.tif
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).
Table 5 Calculated Bader charge and magnetic moment on Mn for the MnxOyHz clusters on a Co(111) surface
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).


image file: d6cp00917d-f6.tif
Fig. 6 Schematic representation of charge transfer from cobalt surface (acting as an electron reservoir) to the MnxOy-cluster, this donation of charge suppresses the increase of Mn oxidation state (Mn: purple, Co: blue; O: red).

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.

Conclusions

In conclusion, we have outlined the relationships between the formal oxidation state and calculated magnetic moments and Bader charges of Mn in several bulk and cluster structures, as well as manganese oxide clusters on the Co(111) surface. We found a strong quadratic correlation between Mn magnetic moments and formal oxidation states, that was shown to hold both for Mn oxides bulk and cluster structures. On the other hand, the relationship between the Bader charge and formal oxidation state could be fit with a hyperbolic curve, but only upon modification of the formal oxidation state by the Madelung constant to prevent underestimation of the total coulombic interactions within the bulk manganese oxides. We found that the predicted Bader charges on Mn were largely independent on the Hubbard correction, as similar oxidation state vs. Bader charge correlations were obtained with DFT and DFT+U. However, the Hubbard correction had a larger impact on the magnetic properties, as the Mn atomic magnetic moments were higher and closer to experimental values with DFT+U.

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.

Author contributions

Julie-Ann Hoffman: conceptualization, data curation, formal analysis, investigation, methodology, validation, visualization, writing – original draft, writing – review & editing. Enrico Sireci: conceptualization, data curation, formal analysis, investigation, methodology, validation, writing – original draft, writing – review & editing. Thobani Gambu: conceptualization, data curation, supervision, writing – review & editing. Dmitry I. Sharapa: conceptualization, data curation, supervision, writing – review & editing. Felix Studt: conceptualization, funding acquisition, methodology, project administration, resources, supervision, writing – review & editing. Eric van Steen: conceptualization, funding acquisition, methodology, project administration, resources, supervision, writing – review & editing.

Conflicts of interest

There are no conflicts to declare.

Data availability

Additional data has been made available in the supplementary information (SI). Supplementary information: phonon calculation data with regards to ZPE, ΔH0→298K and S0vib of Mn oxides studied and related experimental data sourced from literature. All information regarding the Ueff calculation. The magnetic and geometric data for both RPBE and BEEF-vdW for both DFT and DFT+U methods. The magnetic ordering for the bulk Mn oxides and magnetic moment data for all structures studied. All data related to the BEEF-vdW for magnetic moment and Bader charges compared to formal assigned formal oxidation state on Mn. See DOI: https://doi.org/10.1039/d6cp00917d.

Structural files will be supplied upon request and uploaded on to a free server (ZivaHub) in due course.

Acknowledgements

We gratefully acknowledge that this study is supported by the German Federal Ministry of Research, Technology and Space (BMFTR) within the CARE-O-SENE project (03SF0673). The authors thank the Council for Scientific and Industrial Research's (CSIR's) Centre for High Performance Computing (CHPC), the University of Cape Town's ICTS High Performance Computing team, https://hpc.uct.ac.za/. The authors acknowledge support by the state of Baden-Württemberg through bwHPC and the German Research Foundation (DFG) through grant no. INST 40/575-1 FUGG (JUSTUS 2 cluster, RVs bw17D011). We gratefully acknowledge the financial support of the National Research Foundation (NRF) and DSI-NRF SARChI (UID: 114606). Support from the Helmholtz Association is also gratefully acknowledged.

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