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. 2023 Nov 27;62(49):20496–20505. doi: 10.1021/acs.inorgchem.3c03689

Local Oxidation States in {FeNO}6–8 Porphyrins: Insights from DMRG/CASSCF–CASPT2 Calculations

Quan Manh Phung †,‡,*, Ho Ngoc Nam §,, Abhik Ghosh ⊥,*
PMCID: PMC10716898  PMID: 38010736

Abstract

graphic file with name ic3c03689_0006.jpg

A first DMRG/CASSCF–CASPT2 study of a series of paradigmatic {FeNO}6, {FeNO}7, and {FeNO}8 heme–nitrosyl complexes has led to substantial new insight as well as uncovered key shortcomings of the DFT approach. By virtue of its balanced treatment of static and dynamic correlation, the calculations have provided some of the most authoritative information available to date on the energetics of low- versus high-spin states of different classes of heme–nitrosyl complexes. Thus, the calculations indicate low doublet–quartet gaps of 1–4 kcal/mol for {FeNO}7 complexes and high singlet–triplet gaps of ≳20 kcal/mol for both {FeNO}6 and {FeNO}8 complexes. In contrast, DFT calculations yield widely divergent spin state gaps as a function of the exchange–correlation functional. DMRG–CASSCF calculations also help calibrate DFT spin densities for {FeNO}7 complexes, pointing to those obtained from classic pure functionals as the most accurate. The general picture appears to be that nearly all the spin density of Fe[P](NO) is localized on the Fe, while the axial ligand imidazole (ImH) in Fe[P](NO)(ImH) pushes a part of the spin density onto the NO moiety. An analysis of the DMRG–CASSCF wave function in terms of localized orbitals and of the resulting configuration state functions in terms of resonance forms with varying NO(π*) occupancies has allowed us to address the longstanding question of local oxidation states in heme–nitrosyl complexes. The analysis indicates NO(neutral) resonance forms [i.e., Fe(II)–NO0 and Fe(III)–NO0] as the major contributors to both {FeNO}6 and {FeNO}7 complexes. This finding is at variance with the common formulation of {FeNO}6 hemes as Fe(II)–NO+ species but is consonant with an Fe L-edge XAS analysis by Solomon and co-workers. For the {FeNO}8 complex {Fe[P](NO)}, our analysis suggests a resonance hybrid description: Fe(I)–NO0 ↔ Fe(II)–NO, in agreement with earlier DFT studies. Vibrational analyses of the compounds studied indicate an imperfect but fair correlation between the NO stretching frequency and NO(π*) occupancy, highlighting the usefulness of vibrational data as a preliminary indicator of the NO oxidation state.

Short abstract

Ab initio DMRG–CASSCF/CASPT2 calculations on iron porphyrin nitrosyl complexes have allowed clearer definition of the local oxidation state of the NO groups. The NO groups in both {FeNO}6 and {FeNO}7 porphyrins are found to be best described as NO, while the {FeNO}8 anion [Fe(P)(NO)] (P = porphine anion) is best described as Fe(I)–NO0 ↔ Fe(II)–NO. The calculations also provide valuable benchmarks for density functional theory vis-à-vis spin state energetics and spin densities.

1. Introduction

The electronic structures of transition metal nitrosyls have long been the subject of lively interest, debate, and controversy.13 The crux of the problem is that NO, as a paradigmatic noninnocent ligand, does not allow a simple determination of the oxidation state of a metal center it is attached to.4,5 According to current chemical nomenclature, oxidation states are defined in terms of the ionic approximation (IA), whereby the two electrons of a heteronuclear bond are both assigned to the more electronegative side.68 For NO complexes, the strongly covalent nature of metal(d)–NO(π*) interactions often interferes with the application of the IA. Fifty years ago, in a master stroke, Enemark and Feltham chose to sidestep the problem of local oxidation states by assigning an effective d electron count n to metal nitrosyls.9 Now known as the Enemark–Feltham electron count, n refers to the number of metal d electrons plus the number of NO π* electrons; thus, “Fe(II) + NO” corresponds to n = 6 + 1 = 7 and is denoted as {FeNO}7. Despite the popularity of the notation, chemists have retained a strong interest in the oxidation state problem and have sought to assign oxidation states to both the metal and the NO fragments in nitrosyl complexes. Unfortunately, density functional theory, the major theoretical tool for such studies,1015 suffers from several pitfalls. To start with, the DFT description generally does not correspond to a pure spin state but incorporates contamination from multiple states. In addition, different exchange–correlation functionals provide disturbingly divergent descriptions of metal–ligand covalence and of spin-state energetics.16,17 In the face of these challenges, chemists have increasingly resorted to a so-called spectroscopically calibrated approach, i.e., a combination of several spectroscopic methods and DFT calculations, to come up with local oxidation states in nitrosyl complexes.1823 Modern multiconfigurational methods and orbital localization schemes provide an elegant alternative to these somewhat ad hoc approaches, as we illustrated recently in a study of transition metal corroles.24 Here we present a state-of-the-art DMRG/CASSCF–CASPT2 study of seven paradigmatic FeNO porphyrin derivatives spanning the {FeNO}6–8 electron counts (Scheme 1). Two {FeNO}7 systems were examined (see relevant experimental papers2531): Fe[P](NO), i.e., a five-coordinate nitrosylheme, and its six-coordinate analogue Fe[P](NO)(ImH), where P is an unsubstituted porphyrin, and ImH is imidazole, a model for the amino acid histidine. Four oxidized {FeNO}6 systems, so-called met-heme nitrosyl derivatives, were examined (see relevant experimental papers3239): (iii) {Fe[P](NO)}+, (iv) {Fe[P](NO)(ImH)}+, Fe[P](NO)(NO2), and Fe[P](NO)(SMe). Finally, one reduced {FeNO}8 system, a heme–nitroxide derivative, was examined (see relevant experimental papers4047): {Fe[P](NO)}. The present calculations provide a definitive resolution of several longstanding questions, including (i) the spin state energetics of the major classes of FeNO porphyrins, (ii) their spin density profiles (where applicable),16,17 and (iii) the local oxidation states of the Fe and the NO, as one transitions among Enemark–Feltham counts 6–8.

Scheme 1. Molecules Studied in This Work.

Scheme 1

2. Methods

All structures, including excited states, were optimized with density functional theory employing the BP86 functional and def2-TZVP basis sets,4850 with D3 dispersion corrections51 and Becke–Johnson damping.52 This method has been widely shown to yield realistic geometric structures for transition metal nitrosyls, such as in works by Conradie et al.11 and Monsch and Klüfers.15 Single-point calculations were carried out on these optimized geometries with a wide variety of exchange–correlation functionals (with different percentages of exact exchange shown in parentheses): PBE (0%), B97-D3 (0%), TPSS (0%), TPSSh (15%), B3LYP (20%), PBE0 (25%), BHLYP (25%), M06-L (0%), M06 (27%), and M06-2X (54%).

DMRG–CASSCF/CASPT2 calculations5361,81,96 were performed with the OpenMolcas62,63 package interfaced with the CheMPS2 library.64 We used the aug-cc-pwCV5Z-DK basis set for Fe,65 cc-pVTZ-DK for H, and aug-cc-pVTZ-DK for the other ligand atoms,66,67 as we found that this combination gives the best agreement to the complete basis set limit due to error cancellations.68 Cholesky decomposition of the two-electron integrals with a threshold of 10–6 au was used.69 A second-order Douglas–Kroll–Hess (DKH) Hamiltonian7072 was used to account for scalar relativistic effects. Similar to our previous works,24,73 the DMRG–CASSCF calculations made use of Fiedler orbital ordering,74 residual norm threshold of 10–5 for the Davidson algorithm, and perturbative noise with a prefactor of 0.05.75 We chose a value of 1000 for the number of renormalized states m, as it gave almost converged results in other studies on FeNO porphyrinoids.76 The ionization-potential/electron-affinity (IPEA) shift77 of 0.25 au and an imaginary shift78 of 0.1 au were used in the CASPT2 calculations. All core and semicore electrons of Fe (3s and 3p) were kept frozen in the CASPT2 treatment, as they make only a slight contribution to the CASPT2 relative energies in iron–nitrosyl complexes.73 Point group symmetry was employed, as appropriate.

The active spaces of the complexes are summarized in Table 1 and are similar to our previous work on nitrosyl complexes.24 The active spaces consist of all five Fe(3d) orbitals, all (possible) five Fe(4d) orbitals to account for the double-shell effect,26 all (possible) Fe-ligand σ orbitals, and a set of ten NO-based orbitals. The latter set includes two NO(π) and the correlating two NO(π*) orbitals; the NO(σ) orbital and the correlating NO(σ*) orbital, two NO(π′) orbitals to account for the radial correlation of the NO(π*) orbitals, one nitrogen 2s orbital, and the correlating orbital. The four Gouterman π orbitals (denoted Pπ) were also included, to allow for a noninnocent porphyrin in certain states (see Table 1). The natural active orbitals are shown in Figures S1–S4.

Table 1. Formal Electron Configuration of The Complexes Studied in This Work.

electron configurationa complex active spaceb
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy) (dx2y2) (dz2) 4{Fe[P](NO)} 19 in 23
4{Fe[P](ImH)(NO)}
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy)2 (dx2y2)0 (dz2) 2{Fe[P](NO)} 19 in 22
2{Fe[P](ImH)(NO)}
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy)2 (dx2y2)0 (dz2) (Pπ) 3{Fe[P](NO)} 22 in 23
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy)2 (dx2y2)0 (dz2)2 (Pπ)0 1{Fe[P](NO)} 22 in 23
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy) (dx2y2)0 (dz2) 3{Fe[P](NO)}+ 18 in 22
3{Fe[P] (NO)(ImH)}+ 20 in 23
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy)2 (dx2y2)0 (dz2)0 1{Fe[P](NO)}+ 18 in 21
1{Fe[P](NO)(ImH)}+ 20 in 22
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy) (dx2y2)0 (dz2) 3{Fe[P](NO)(NO2)} 20 in 23
3{Fe[P](NO)(SMe)}
[dxz + π*(NO)]2 [dyz + π*(NO)]2 (dxy)2 (dx2y2)0 (dz2)0 1{Fe[P](NO)(NO2)} 20 in 22
1{Fe[P](NO)(SMe)}
a

Except for the case of linear FeNO, there is no clear distinction between dxz and dz2 orbitals.

b

We used the notation “ne in na” to denote an active space of ne electrons in na active orbitals.

The DMRG–CASSCF wavefunctions were analyzed in terms of localized orbitals.24,31,73,79 All DMRG–CASSCF natural orbitals were first localized into ligand-based and Fe-based orbitals. We then used BLOCK2 to decompose the wave function into configuration state functions (CSFs).80 The CSFs were further classified into four resonance structures, Fe–NO+, Fe–NO0, Fe–NO, and Fe–NO2–, allowing us to determine the oxidation state of Fe. We also examined the Mulliken spin populations calculated at the DMRG–CASSCF level of theory (see Supporting Information). As the DMRG–CASSCF interface in OpenMolcas lacks this functionality, the spin populations were calculated with the ORZ program package81 in combination with the def2-TZVP basis set.50 The formal electronic configurations of all complexes are shown in Table 1.

3. Results and Discussion

3.1. Spin State Energetics

Ever since density functional theory gained a widespread following among chemists, especially experimental chemists, the question of spin state energetics of transition metal complexes has been a vexing one.8287 In early studies, we (as well as others) showed that classic pure functionals often exhibit an undue preference for lower-spin states, while hybrid functionals err in the opposite direction, favoring higher-spin states. In particular, we found the spin-crossover complex and nitrosylheme analogue Fe(salen)(NO)16 (salen = N,N′-bis(salicylidene)ethylenediamine; as well as other spin-crossover complexes8892) to serve as a particularly useful test case for a functional’s performance vis-à-vis spin state energetics.

The CCSD(T) method has traditionally provided the gold standard for calculations of the spin state energetics of transition metal complexes. The DMRG–CASSCF/CASPT2 method employed here is slightly less accurate (with errors typically about 0.1–0.2 eV),9399 but unlike CCSD(T) has the great advantage of applying to substantially multiconfigurational systems. For such systems, the DMRG–CASSCF/CASPT2 results can be calibrated by high-level multireference methods such as MR-ACPF and MR-ACQC.100104 The latter methods are only applicable to small systems with only a few atoms, but these calculations afford reassuring calibration of CASPT2 energetics. Once again, the errors in the CASPT2 energetics are rarely worse than 0.1–0.2 eV. In the present study, we have tacitly assumed similar errors for adiabatic low-high spin-state gaps for a series of archetypal {FeNO}6–8 complexes. While worse than chemical accuracy, it is worth emphasizing that the scatter with different DFT functionals is about an order of magnitude higher. As of today, comparably accurate results are only available for Fe[P](NO)31 and Fe[C](NO),24,73 where P and C refer to unsubstituted porphine and corrole, respectively. Our main findings are as follows.

For the two {FeNO}7 complexes Fe[P](NO) and Fe[P](NO)(ImH), the DMRG–CASSCF/CASPT2 calculations predict a doublet ground state, as experimentally observed, and small doublet–quartet gaps (ΔEDQ = EquartetEdoublet) of 1–4 kcal/mol (Table 2). For comparison, common exchange–correlation functionals predict dramatic variations in ΔEDQ values over a range spanning >40 kcal/mol. As expected, classic pure functionals greatly overstabilize the doublet state, whereas hybrid functionals with larger amounts of exact exchange incorrectly favor a quartet ground state by a wide margin. The popular hybrid functional B3LYP actually does rather well, yielding ΔEDQ values in surprisingly good agreement with the DMRG–CASSCF/CASPT2 theory.

Table 2. Singlet–Triplet Gaps in {FeNO}6 and {FeNO}8 Porphyrins and the Doublet–Quartet Gaps in {FeNO}7 Porphyrins, Calculated with Various Functionals (Augmented with D3BJ Dispersion Corrections) and DMRG–CASPT2a.

  {FeNO}6
{FeNO}7
{FeNO}8
  {Fe[P]NO}+ Fe[P](NO2)(NO) {Fe[P](ImH)(NO)}+ Fe[P](SMe)NO Fe[P]NO Fe[P](ImH)(NO) {Fe[P](NO)}
BP86 12.7 20.8 22.2 15.4 18.4 18.4 6.4
PBE 13.0 21.0 23.3 15.7 17.9 19.7 6.3
B3LYP 8.1 9.2 20.2 3.5 0.1 3.8 3.8
TPSSh 10.6 13.7 _b 7.8 9.3 14.3 3.3
TPSS 12.9 18.9 23.8 13.4 18.7 21.4 5.7
BHLYP 7.7 –1.3 7.8 –8.9 –21.0 –18.8 3.3
PBE0 4.8 8.6 20.9 2.8 –5.5 –0.7 2.6
B97-D 9.8 19.1 15.6 14.1 5.8 3.5 6.6
M06 2.3 13.4 18.1 8.0 –12.3 –11.2 2.7
M06-L 8.5 17.2 21.5 12.9 –1.3 3.3 4.1
M06-2X –2.8 –0.9 5.6 –7.6 –24.4 –25.0 3.7
DMRG–CASPT2 20.9 33.6 30.4 31.2 1.0 3.6 20.7
a

All values are in kcal/mol.

b

Calculation did not converge to the correct state.

Somewhat to our surprise, DMRG–CASSCF/CASPT2 calculations predict surprisingly large singlet–triplet gaps of >30 kcal/mol for the three {FeNO}6 complexes {Fe[P](NO)(ImH)}+, Fe[P](NO)(NO2) and Fe[P](NO)(SMe). This gap also appears to be relatively independent of the axial ligand. The latter observation is surprising in that the axial thiolate and nitrite ligands are both readily oxidized as independent species and, naively speaking, a low-energy, antiferromagnetically coupled {FeNO}7–L ligand radical state might have been expected (as was indeed speculated by Walker34), in stark contrast to the DMRG–CASSCF/CASPT2 results. For these complexes, most of the exchange–correlation functionals perform qualitatively well, correctly indicating singlet ground states but generally underestimating the singlet–triplet gap (ΔEST = EtripletEsinglet). Once again, the functionals with the highest proportions of exact exchange fail to identify the correct ground state, i.e., incorrectly predict a triplet ground state.

For the {FeNO}8 complex {Fe[Por](NO)}, DMRG–CASSCF/CASPT2 calculations predict an unambiguous singlet ground state and a high singlet–triplet gap of >20 kcal/mol, qualitatively mirroring the scenario obtained for the {FeNO}6 complexes. For {Fe[Por](NO)}, however, all exchange–correlation functionals correctly predict a singlet ground state, but with much smaller ΔEST’s relative to the DMRG–CASSCF/CASPT2 theory.

3.2. Spin Density Profiles

DMRG–CASSCF calculations predict that nearly the entire spin density in Fe[Por](NO) is localized on the Fe with only a trace on the NO. In Fe[Por](NO)(ImH), the Fe carries about four-fifths of the spin density, with most of the remaining fifth on the NO, reflecting the effect of the antibonding Fe(dz2)–ImH antibonding interaction. As shown in Figures 1 and 2, pure functionals largely capture the essence of the DMRG spin density profile, whereas hybrid functionals lead to much greater spatial separation of the majority and minority (alternatively, up and down) spin densities. For the singlet {FeNO}6 and {FeNO}8 species, DMRG–CASSCF calculations “by definition” indicate zero spin density at every point, in contrast to DFT, which results in various degrees of spin symmetry-breaking, from negligible for classic pure functionals to pronounced for hybrid functionals. The fact that the large Fe spin density in the {FeNO}7 state is neutralized in the {FeNO}6 and {FeNO}8 states may be naively regarded as indicative of essentially metal-centered oxidation and reduction, respectively. It is worth recalling that early UV–vis spectroelectrochemical studies of simple {FeNO}7 porphyrins by Kadish and co-workers also reached similar conclusions, i.e., FeNO-centered redox processes.40 Below we shall see that an analysis of the DMRG wave function adds considerable detail to these qualitative arguments.

Figure 1.

Figure 1

DMRG–CASSCF and DFT spin density plots of 2Fe[P](NO), with majority and minority spin densities colored blue and yellow, respectively.

Figure 2.

Figure 2

DMRG–CASSCF and DFT spin density plots of 2Fe[P](NO)(ImH), with majority and minority spin densities colored blue and yellow, respectively.

3.3. DMRG–CASSCF Resonance Structures and Implications for Oxidation States

As explained above in Methods Section, we decomposed the DMRG–CASSCF wave function into “resonance forms” in which the total NO π*-occupancy varies from 0 to 4; the results are shown in Figure 3. Note that this analysis does not directly yield an oxidation state for the Fe or NO, but identifies resonance forms in order of importance. It is the latter that provides the basis for a discussion of oxidation states. One drawback of this approach is that the localization procedure may fail for certain species, as it did for the {FeNO}6 complexes {Fe[P](NO)(ImH)}+ and Fe[P](NO)(NO2). Fortunately, the method worked satisfactorily for the other two {FeNO}6 complexes studied, allowing for a comparative discussion of all three Enemark–Feltham electron counts of interest in this study.

Figure 3.

Figure 3

Weights (in percentage) of dominant configurations based on (NO–π*)n (n = 0, 1, 2, 3) in DMRG–CASSCF wave functions, indicated in different colors. The localization procedure fails to localize the NO–π orbitals and σ orbital between Fe and the axial ligand in {Fe[P](NO)(ImH)}+ and Fe[P](NO)(NO2).

For both of the {FeNO}7 complexes examined, Fe[P](NO) and Fe[P](NO)(ImH), approximately two-thirds of the wave function is made up of [π*(NO)]1 configurations, with the remaining third made up of a mix of [π*(NO)]0 and [π*(NO)]2 configurations. The axial imidazole ligand decreases the proportion of [π*(NO)]0 configurations and increases that of [π*(NO)]2 configurations, while leaving the proportions of [π*(NO)}1 configurations relatively unaffected. This finding mirrors the impact of the imidazole ligand on the spin density profile of Fe[P](NO). Thus, in spite of the minor difference, both complexes can, to a first approximation, be described as Fe(II)–NO0. It is worth stressing that this analysis does not imply that the NO ligand in these two complexes carries a large or even significant amount of electronic spin density.

For the two {FeNO}6 complexes analyzed, [π*(NO)]1 configurations also account for approximately two-thirds of the wave function, with the remaining third made up of a roughly even mix of [π*(NO)]0 and [π*(NO)]2 configurations. Given that the porphyrin is thought to be innocent with a formal charge of −2 in all the complexes, we may, accordingly, at least to a first approximation, describe the two complexes as Fe(III)–NO0. Such a description is at variance with from the popular view of low-spin, square-pyramidal or octahedral {FeNO}6 complexes as Fe(II)–NO+,2,19 but is consonant with Solomon21 and co-workers’ L-edge X-ray absorption study of an octahedral nonheme {FeNO}6 complex with “heme-like” coordination.105 Another study by DeBeer, Meyer, and co-workers20 has also reached a similar conclusion.

In {Fe[P](NO)}, the contribution of [π*(NO)}1 configurations is dramatically lower, with that of the [π*(NO)}2 configurations correspondingly higher. Accordingly, to a first approximation, {Fe[P](NO)} appears best described as a resonance hybrid: Fe(I)–NO0 ↔ Fe(II)–NO. Going from {FeNO}7 to {FeNO}8, the reduction thus is not entirely metal-centered, as speculated above, but also significantly on the NO. Such a description is largely in accord with earlier theoretical studies on low-spin {FeNO}8 species,42,45 including one by one of us.43

3.4. Insights from NO Bond Distances and Vibrational Frequencies

Given that the NO bond distance and vibrational frequency are known to vary as a function of the NO π* occupancy, we looked into the possibility of a semiquantitative correlation. Toward that end, we optimized and determined the vibrational frequency of NO as an isolated diatomic, with the π* occupation varying from 0 to 2 (i.e., from NO+ to NO). Fractional orbital occupations were also employed in this exercise. An essentially linear relationship was found to exist among the N–O distance, vibrational frequency, and π* occupancy. As hoped for, the N–O distances and vibrational frequencies of the FeNO porphyrins studied also appeared to follow the same relationship, allowing an empirical readout of NO π* occupancies in the different molecules (Figure 3). Note that the couplings between the NO vibration and other vibrational modes are small. In all complexes, the NO bond distance ranges from 1.153 to 1.203 Å, but never exceeds the value of 1.213 Å corresponding to NO–0.5 [or the occupancy of 1.5 of the NO(π*) orbitals]. Similarly, the NO vibrational frequency ranges from 1529 to 1945 cm–1, corresponding to somewhat under NO–0.5 (1635 cm–1) to somewhat over NO0 (1889 cm–1). Overall, the results indicate that the vast majority of the complexes, regardless of their spin state, are best described as metal–NO0 as opposed to metal–NO or metal–NO+.

Using the calibration curve, one can also estimate the π* occupancies of the complexes, although the results should be viewed qualitatively, as we found a significant downshift of the data points from the calibration curve. This behavior is also found in other nonheme complexes but to a smaller extent (unpublished results). Based on the NO vibrational frequency, the occupancies should be 0.95, 1.35, and 1.7 for {Fe[P](NO)}+, Fe[P](NO), and {Fe[P](NO)}, respectively. However, based on the NO bond distance, the occupancies are 0.90, 1.15, and 1.4, respectively. These results are in moderate agreement with those obtained via the DMRG–CASSCF-based resonance form analysis outlined above. The analysis suggests that the NOs in both {Fe[P](NO)}+ and Fe[P](NO) are best approximated as NO0, while the one in {Fe[P](NO)} is around NO–0.5. On the other hand, this analysis is inconsistent with the result that both {Fe[P](NO)}+ and Fe[P](NO) exhibit a nearly identical NO resonance form composition, as shown in Figure 3. From the point of view of oxidation state assignment, we view resonance form analysis as the clearly superior method. The diatomic model that forms the basis of Figure 4 is clearly a gross oversimplification of the dynamics of the FeNO group.

Figure 4.

Figure 4

Correlation between the NO bond distance and vibrational frequency, obtained with the BP86-D3(BJ)/def2-TZVP method. The open-circles correspond to the results of isolated NO with fractional orbital occupations.

4. Conclusions

High-level ab initio DMRG–CASSCF/CASPT2 calculations on archetypal {FeNO}6, {FeNO}7, and {FeNO}8 heme–nitrosyl complexes have yielded a number of new insights as well as underscored significant deficiencies of DFT methods. The key results are enumerated as follows.

  • (a)

    As a result of the balanced treatment of static and dynamic correlation, DMRG–CASSCF/CASPT2 calculations have provided some of the most authoritative results available to date on the spin state energetics of heme–nitrosyl complexes. DFT calculations, in contrast, yield widely divergent results on spin state energetics as a function of the exchange–correlation functional, even though the various functionals correctly identify the ground states of transition metal complexes for the great majority of transition metal complexes. As far as spin state energetics is concerned, DMRG–CASSCF/CASPT2 calculations indicate that (a) {FeNO}7 complexes, represented by Fe[P](NO) and Fe[P](ImH)(NO), exhibit small doublet–quartet gaps, typically ≲4 kcal/mol, and (b) both {FeNO}6 and {FeNO}8 complexes exhibit large singlet–triplet gaps of ≳20 kcal/mol. In other words, the Fe–NO bonding in the latter two classes of complexes is strongly covalent and should not be described as antiferromagnetic coupling.

  • (b)

    DMRG–CASSCF spin densities have provided valuable benchmarks for those obtained with DFT. Thus, DMRG–CASSCF calculations predict nearly the entire spin density of Fe[P](NO) localized on the iron, whereas, in the case of Fe[P](NO)(ImH), the sixth ligand pushes approximately a fifth of that spin density out on to the NO. These spin density patterns are similar to those obtained with pure functionals, but quite different from those obtained with hybrid functionals. The latter exhibit with much greater separation of majority and minority spin densities, reflecting contamination from the S = 3/2 state.

  • (c)

    An analysis of the DMRG–CASSCF wave function in terms of localized orbitals has permitted a quantitative assessment of the contributions of resonance forms with different NO(π*) occupancies, i.e., especially the metal–NO+, metal–NO0, metal–NO, and metal–NO2– resonance forms. For the {FeNO}7 and {FeNO}6 complexes studied, the wave function in each case indicated a dominant NO0 resonance form. For the {FeNO}8 complex {Fe[P](NO)}, a similar exercise indicated a resonance hybrid, Fe(I)–NO0 ↔ Fe(II)–NO, with both resonance forms making comparable contributions of 44 ± 6%. These findings contradict a number of common formulations for nitrosyl complexes, most notably Fe(II)–NO+ for {FeNO}6 heme–nitrosyl systems, but are consonant with an L-edge XAS study of an octahedral low-spin nonheme {FeNO}6 complex, which the authors formulated as Fe(III)–NO0. To what extent the present conclusions are transferable to high-spin nonheme iron nitrosyls remains a fascinating question at this point.

We wish to conclude by reaffirming our continued support and admiration for the 50-year-old Enemark–Feltham formalism. Far from being a “cop-out” in terms of ducking the question of local oxidation states, it is a much-needed reminder of the complex multiconfigurational character of transition metal nitrosyls.

Acknowledgments

This project was supported by the Research Council of Norway (grant no. 324139). The computation was performed using Research Center for Computational Science, Okazaki, Japan (Project: 23-IMS-C087).

Data Availability Statement

All data generated or analyzed in this study are included in this published article and its Supporting Information.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.inorgchem.3c03689.

  • Optimized Cartesian coordinates of the complexes; Mulliken spin population values calculated with different exchange–correlation functionals and DMRG–CASSCF theory; and active orbitals in DMRG–CASSCF calculations (PDF)

The authors declare no competing financial interest.

Supplementary Material

ic3c03689_si_001.pdf (1.3MB, pdf)

References

  1. For extensive reviews on all aspects of NO complexes, including a historical introduction, see:; a Nitrosyl Complexes in Inorganic Chemistry, Biochemistry and Medicine I; Mingos D. M. P., Ed.; Structure and Bonding; Springer, 2013; Vol. 153, pp 1–232. [Google Scholar]; b Nitrosyl Complexes in Inorganic Chemistry, Biochemistry and Medicine II; Mingos D. M. P., Ed.; Structure and Bonding; Springer, 2014; Vol. 154, pp 1–260. [Google Scholar]
  2. Lehnert N.; Kim E.; Dong H. T.; Harland J. B.; Hunt A. P.; Manickas E. C.; Oakley K. M.; Pham J.; Reed G. C.; Alfaro V. S. The biologically relevant coordination chemistry of iron and nitric oxide: electronic structure and reactivity. Chem. Rev. 2021, 121, 14682–14905. 10.1021/acs.chemrev.1c00253. [DOI] [PubMed] [Google Scholar]
  3. Wyllie G. R.; Scheidt W. R. Solid-state structures of metalloporphyrin NOx compounds. Chem. Rev. 2002, 102, 1067–1090. 10.1021/cr000080p. [DOI] [PubMed] [Google Scholar]
  4. Ampßler T.; Monsch G.; Popp J.; Riggenmann T.; Salvador P.; Schröder D.; Klüfers P. Not Guilty on Every Count: The “Non-Innocent” Nitrosyl Ligand in the Framework of IUPAC’s Oxidation-State Formalism. Angew. Chem., Int. Ed. 2020, 59, 12381–12386. 10.1002/anie.202003122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Nitrosyl complexes are also tricky for the Covalent Bond Classification method:Norman N. C.; Pringle P. G. In defence of oxidation states. Dalton Trans. 2022, 51, 400–410. 10.1039/D0DT03914D. [DOI] [PubMed] [Google Scholar]
  6. Karen P.; McArdle P.; Takats J. Toward a comprehensive definition of oxidation state (IUPAC Technical Report). Pure Appl. Chem. 2014, 86, 1017–1081. 10.1515/pac-2013-0505. [DOI] [Google Scholar]
  7. Karen P. Oxidation state, a long-standing issue!. Angew. Chem., Int. Ed. 2015, 54, 4716–4726. 10.1002/anie.201407561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Karen P.; McArdle P.; Takats J. Comprehensive definition of oxidation state (IUPAC Recommendations 2016). Pure Appl. Chem. 2016, 88, 831–839. 10.1515/pac-2015-1204. [DOI] [Google Scholar]
  9. Enemark J. H.; Feltham R. D. Principles of structure, bonding, and reactivity for metal nitrosyl complexes. Coord. Chem. Rev. 1974, 13, 339–406. 10.1016/S0010-8545(00)80259-3. [DOI] [Google Scholar]
  10. (Dispersion-corrected) DFT excels at reproducing key structural characteristics of transition metal nitrosyls, with the Kohn–Sham orbitals providing satisfactory, qualitative rationales for the observed structures:Ghosh A. Metalloporphyrin-NO Bonding: Building Bridges with Organometallic Chemistry. Acc. Chem. Res. 2005, 38, 943–954. 10.1021/ar050121+. [DOI] [PubMed] [Google Scholar]
  11. Conradie J.; Quarless D. A.; Hsu H.-F.; Harrop T. C.; Lippard S. J.; Koch S. A.; Ghosh A. Electronic Structure and FeNO Conformation of Nonheme Iron-Thiolate-NO Complexes: An Experimental and DFT Study. J. Am. Chem. Soc. 2007, 129 (34), 10446–10456. 10.1021/ja0719982. [DOI] [PubMed] [Google Scholar]
  12. Hopmann K. H.; Ghosh A.; Noodleman L. Density functional theory calculations on Mössbauer parameters of nonheme iron nitrosyls. Inorg. Chem. 2009, 48 (19), 9155–9165. 10.1021/ic9008784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Hopmann K. H.; Noodleman L.; Ghosh A. Spin coupling in Roussin’s red and black salts. Chem.—Eur. J. 2010, 16, 10397–10408. 10.1002/chem.200903344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Kaneko M.; Kato A. M.; Nakashima S.; Kitatsuji Y. Density Functional Theory (DFT)-Based Bonding Analysis Correlates Ligand Field Strength with 99Ru Mössbauer Parameters of Ruthenium–Nitrosyl Complexes99Ru Mössbauer Parameters of Ruthenium-Nitrosyl Complexes. Inorg. Chem. 2019, 58, 14024–14033. 10.1021/acs.inorgchem.9b02024. [DOI] [PubMed] [Google Scholar]
  15. Monsch G.; Klüfers P. {Fe(H2O)5 (NO)}2+, the “Brown-Ring” Chromophore. Angew. Chem., Int. Ed. 2019, 58, 8566–8571. 10.1002/anie.201902374. [DOI] [PubMed] [Google Scholar]
  16. Conradie J.; Ghosh A. DFT Calculations on the Spin-Crossover Complex Fe (salen)(NO): A Quest for the Best Functional. J. Phys. Chem. B 2007, 111, 12621–12624. 10.1021/jp074480t. [DOI] [PubMed] [Google Scholar]
  17. Boguslawski K.; Jacob C. R.; Reiher M. Can DFT Accurately Predict Spin Densities? Analysis of Discrepancies in Iron Nitrosyl Complexes. J. Chem. Theory Comput. 2011, 7, 2740–2752. 10.1021/ct1006218. [DOI] [PubMed] [Google Scholar]
  18. Brown C. A.; Pavlosky M. A.; Westre T. E.; Zhang Y.; Hedman B.; Hodgson K. O.; Solomon E. I. Spectroscopic and theoretical description of the electronic structure of S = 3/2 iron-nitrosyl complexes and their relation to O2 activation by non-heme iron enzyme active sites. J. Am. Chem. Soc. 1995, 117, 715–732. 10.1021/ja00107a015. [DOI] [Google Scholar]
  19. Serres R. G.; Grapperhaus C. A.; Bothe E.; Bill E.; Weyhermüller T.; Neese F.; Wieghardt K. Structural, Spectroscopic, and Computational Study of an Octahedral, Non-Heme {Fe-NO}6–8 Series: {Fe (NO)(cyclam-ac)}2+/+/0. J. Am. Chem. Soc. 2004, 126, 5138–5153. 10.1021/ja030645+. [DOI] [PubMed] [Google Scholar]
  20. Kupper C.; Rees J. A.; Dechert S.; DeBeer S.; Meyer F. Complete series of {FeNO}8,{FeNO}7, and {FeNO}6 complexes stabilized by a tetracarbene macrocycle. J. Am. Chem. Soc. 2016, 138, 7888–7898. 10.1021/jacs.6b00584. [DOI] [PubMed] [Google Scholar]
  21. Yan J. J.; Gonzales M. A.; Mascharak P. K.; Hedman B.; Hodgson K. O.; Solomon E. I. L-Edge X-ray Absorption Spectroscopic Investigation of {FeNO}6: Delocalization vs Antiferromagnetic Coupling. J. Am. Chem. Soc. 2017, 139, 1215–1225. 10.1021/jacs.6b11260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Speelman A. L.; White C. J.; Zhang B.; Alp E. E.; Zhao J.; Hu M.; Krebs C.; Penner-Hahn J.; Lehnert N. Non-Heme High-Spin {FeNO}6–8 Complexes: One Ligand Platform can Do it All. J. Am. Chem. Soc. 2018, 140, 11341–11359. 10.1021/jacs.8b06095. [DOI] [PubMed] [Google Scholar]
  23. Keilwerth M.; Hohenberger J.; Heinemann F. W.; Sutter J.; Scheurer A.; Fang H.; Bill E.; Neese F.; Ye S.; Meyer K. A Series of Iron Nitrosyl Complexes {Fe-NO}6–9 and a Fleeting {Fe-NO}10 Intermediate en Route to a Metalacyclic Iron Nitrosoalkane. J. Am. Chem. Soc. 2019, 141, 17217–17235. 10.1021/jacs.9b08053. [DOI] [PubMed] [Google Scholar]
  24. Phung Q. M.; Muchammad Y.; Yanai T.; Ghosh A. A DMRG/CASPT2 Investigation of Metallocorroles: Quantifying Ligand Noninnocence in Archetypal 3d and 4d Element Derivatives. JACS Au 2021, 1, 2303–2314. 10.1021/jacsau.1c00417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. a Piciulo P. L.; Rupprecht G.; Scheidt W. R. Stereochemistry of Nitrosylmetalloporphyrins. Nitrosyl-α,β,γ,δ-tetraphenylporphinato(1-methylimidazole)iron and Nitrosyl-α,β,γ,δ-tetraphenylporphinato(4-methylpiperidine)manganese. J. Am. Chem. Soc. 1974, 96, 5293–5295. 10.1021/ja00823a067. [DOI] [Google Scholar]; b Scheidt W. R.; Frisse M. E. Nitrosylmetalloporphyrins. II. Synthesis and Molecular Stereochemistry of Nitrosyl-α,β,γ,δ-tetraphenylporphinatoiron(II). J. Am. Chem. Soc. 1975, 97, 17–21. 10.1021/ja00834a005. [DOI] [PubMed] [Google Scholar]; c Scheidt W. R.; Piciulo P. L. Nitrosylmetalloporphyrins. III. Synthesis and molecular stereochemistry of nitrosyl-α,β,γ,δ-tetraphenylporphinato (1-methylimidazole) iron (II). J. Am. Chem. Soc. 1976, 98, 1913–1919. 10.1021/ja00423a044. [DOI] [PubMed] [Google Scholar]
  26. Scheidt W. R.; Duval H. F.; Neal T. J.; Ellison M. K. Intrinsic Structural Distortions in Five-Coordinate (Nitrosyl)iron(II) Porphyrinate Derivatives. J. Am. Chem. Soc. 2000, 122, 4651–4659. 10.1021/ja993995y. [DOI] [Google Scholar]
  27. Ghosh A.; Wondimagegn T. A Theoretical Study of Axial Tilting and Equatorial Asymmetry in Metalloporphyrin-Nitrosyl Complexes. J. Am. Chem. Soc. 2000, 122, 8101–8102. 10.1021/ja000747p. [DOI] [Google Scholar]
  28. Wyllie G. R.; Schulz C. E.; Scheidt W. R. Five to Six-Coordination in (Nitrosyl)iron(II) Porphyrinates: Effects of Binding the Sixth Ligand. Inorg. Chem. 2003, 42, 5722–5734. 10.1021/ic034473t. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Linder D. P.; Rodgers K. R.; Banister J.; Wyllie G. R.; Ellison M. K.; Scheidt W. R. Five-coordinate FeIIINO and FeIICO porphyrinates: where are the electrons and why does it matter?. J. Am. Chem. Soc. 2004, 126, 14136–14148. 10.1021/ja046942b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Silvernail N. J.; Barabanschikov A.; Pavlik J. W.; Noll B. C.; Zhao J.; Alp E. E.; Sturhahn W.; Sage J. T.; Scheidt W. R. Interplay of structure and vibrational dynamics in six-coordinate heme nitrosyls. J. Am. Chem. Soc. 2007, 129, 2200–2201. 10.1021/ja066869k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Radoń M.; Broclawik E.; Pierloot K. Electronic Structure of Selected {FeNO}7 Complexes in Heme and Non-Heme Architectures: A Density Functional and Multireference Ab Initio Study. J. Phys. Chem. B 2010, 114, 1518–1528. 10.1021/jp910220r. [DOI] [PubMed] [Google Scholar]
  32. Ellison M. K.; Scheidt W. R. Synthesis, Molecular Structures, and Properties of Six-Coordinate {Fe(OEP)(L)(NO)}+ Derivatives: Elusive Nitrosyl Ferric Porphyrins. J. Am. Chem. Soc. 1999, 121, 5210–5219. 10.1021/ja984308q. [DOI] [Google Scholar]
  33. Ellison M. K.; Schulz C. E.; Scheidt W. R. Nitrosyliron (III) porphyrinates: porphyrin core conformation and FeNO geometry. Any correlation?. J. Am. Chem. Soc. 2002, 124, 13833–13841. 10.1021/ja0207145. [DOI] [PubMed] [Google Scholar]
  34. Walker F. A. Nitric oxide interaction with insect nitrophorins and thoughts on the electron configuration of the {FeNO}6 complex. J. Inorg. Biochem. 2005, 99, 216–236. 10.1016/j.jinorgbio.2004.10.009. [DOI] [PubMed] [Google Scholar]
  35. Novozhilova I. V.; Coppens P.; Lee J.; Richter-Addo G. B.; Bagley K. A. Experimental and Density Functional Theoretical Investigations of Linkage Isomerism in Six-Coordinate {FeNO}6 Iron Porphyrins with Axial Nitrosyl and Nitro Ligands. J. Am. Chem. Soc. 2006, 128, 2093–2104. 10.1021/ja0567891. [DOI] [PubMed] [Google Scholar]
  36. Praneeth V. K. K.; Paulat F.; Berto T. C.; George S. D.; Näther C.; Sulok C. D.; Lehnert N. Electronic Structure of Six-Coordinate Iron (III)-Porphyrin NO Adducts: The Elusive Iron (III)-NO(radical) State and Its Influence on the Properties of These Complexes. J. Am. Chem. Soc. 2008, 130, 15288–15303. 10.1021/ja801860u. [DOI] [PubMed] [Google Scholar]
  37. Li J.; Peng Q.; Oliver A. G.; Alp E. E.; Hu M. Y.; Zhao J.; Sage J. T.; Scheidt W. R. Comprehensive Fe-Ligand Vibration Identification in {FeNO}6 Hemes. J. Am. Chem. Soc. 2014, 136, 18100–18110. 10.1021/ja5105766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Hunt A. P.; Lehnert N. The thiolate trans effect in heme {FeNO}6 complexes and beyond: Insight into the nature of the push effect. Inorg. Chem. 2019, 58, 11317–11332. 10.1021/acs.inorgchem.9b00091. [DOI] [PubMed] [Google Scholar]
  39. McQuarters A. B.; Kampf J. W.; Alp E. E.; Hu M.; Zhao J.; Lehnert N. Ferric Heme-Nitrosyl Complexes: Kinetically Robust or Unstable Intermediates?. Inorg. Chem. 2017, 56, 10513–10528. 10.1021/acs.inorgchem.7b01493. [DOI] [PubMed] [Google Scholar]
  40. Lancon D.; Kadish K. M. Electrochemical and spectral characterization of iron mono-and dinitrosyl porphyrins. J. Am. Chem. Soc. 1983, 105, 5610–5617. 10.1021/ja00355a014. [DOI] [Google Scholar]
  41. Choi I. K.; Liu Y.; Feng D.; Paeng K. J.; Ryan M. D. Electrochemical and spectroscopic studies of iron porphyrin nitrosyls and their reduction products. Inorg. Chem. 1991, 30, 1832–1839. 10.1021/ic00008a028. [DOI] [Google Scholar]
  42. Lehnert N.; Praneeth V. K. K.; Paulat F. Electronic structure of iron (II)-porphyrin nitroxyl complexes: Molecular mechanism of fungal nitric oxide reductase (P450nor). J. Comput. Chem. 2006, 27, 1338–1351. 10.1002/jcc.20400. [DOI] [PubMed] [Google Scholar]
  43. Patra A. K.; Dube K. S.; Sanders B. C.; Papaefthymiou G. C.; Conradie J.; Ghosh A.; Harrop T. C. A thermally stable {FeNO}8 complex: properties and biological reactivity of reduced MNO systems. Chem. Sci. 2012, 3, 364–369. 10.1039/C1SC00582K. [DOI] [Google Scholar]
  44. Goodrich L. E.; Roy S.; Alp E. E.; Zhao J.; Hu M. Y.; Lehnert N. Electronic structure and biologically relevant reactivity of low-spin {FeNO}8 porphyrin model complexes: new insight from a bis-picket fence porphyrin. Inorg. Chem. 2013, 52, 7766–7780. 10.1021/ic400977h. [DOI] [PubMed] [Google Scholar]
  45. Speelman A. L.; Lehnert N. Heme versus non-heme iron-nitroxyl {FeN(H)O}8 complexes: electronic structure and biologically relevant reactivity. Acc. Chem. Res. 2014, 47, 1106–1116. 10.1021/ar400256u. [DOI] [PubMed] [Google Scholar]
  46. Hu B.; Li J. One Electron Makes Differences: From Heme {FeNO}7 to {FeNO}8. Angew. Chem., Int. Ed. 2015, 54, 10579–10582. 10.1002/anie.201505166. [DOI] [PubMed] [Google Scholar]
  47. Kundakarla N.; Lindeman S.; Rahman M. H.; Ryan M. D. X-ray structure and properties of the ferrous octaethylporphyrin nitroxyl complex. Inorg. Chem. 2016, 55, 2070–2075. 10.1021/acs.inorgchem.5b02384. [DOI] [PubMed] [Google Scholar]
  48. Becke A. D. Density-Functional Exchange-Energy Approximation with Correct Asymptotic Behavior. Phys. Rev. A 1988, 38, 3098–3100. 10.1103/PhysRevA.38.3098. [DOI] [PubMed] [Google Scholar]
  49. Perdew J. P. Density-Functional Approximation for the Correlation Energy of the Inhomogeneous Electron Gas. Phys. Rev. B: Condens. Matter Mater. Phys. 1986, 33, 8822–8824. 10.1103/PhysRevB.33.8822. [DOI] [PubMed] [Google Scholar]
  50. Weigend F.; Ahlrichs R. Balanced Basis Sets of Split Valence, Triple Zeta Valence and Quadruple Zeta Valence Quality for H to Rn: Design and Assessment of Accuracy. Phys. Chem. Chem. Phys. 2005, 7, 3297–3305. 10.1039/b508541a. [DOI] [PubMed] [Google Scholar]
  51. Grimme S. Density Functional Theory with London Dispersion Corrections. Wiley Interdiscip. Rev. Comput. Mol. Sci. 2011, 1, 211–228. 10.1002/wcms.30. [DOI] [Google Scholar]
  52. Grimme S.; Antony J.; Ehrlich S.; Krieg H. A Consistent and Accurate Ab Initio Parametrization of Density Functional Dispersion Correction (DFT-D) for the 94 Elements H-Pu. J. Chem. Phys. 2010, 132, 154104. 10.1063/1.3382344. [DOI] [PubMed] [Google Scholar]
  53. White S. R.; Martin R. L. Ab initio quantum chemistry using the density matrix renormalization group. J. Chem. Phys. 1999, 110, 4127–4130. 10.1063/1.478295. [DOI] [Google Scholar]
  54. Chan G. K.-L.; Head-Gordon M. Highly correlated calculations with a polynomial cost algorithm: A study of the density matrix renormalization group. J. Chem. Phys. 2002, 116, 4462–4476. 10.1063/1.1449459. [DOI] [Google Scholar]
  55. Olivares-Amaya R.; Hu W.; Nakatani N.; Sharma S.; Yang J.; Chan G. K.-L. The ab-initio density matrix renormalization group in practice. J. Chem. Phys. 2015, 142, 034102. 10.1063/1.4905329. [DOI] [PubMed] [Google Scholar]
  56. Roemelt M.; Krewald V.; Pantazis D. A. Exchange Coupling Interactions from the Density Matrix Renormalization Group and N-Electron Valence Perturbation Theory: Application to a Biomimetic Mixed-Valence Manganese Complex. J. Chem. Theory Comput. 2018, 14, 166–179. 10.1021/acs.jctc.7b01035. [DOI] [PubMed] [Google Scholar]
  57. Kurashige Y.; Yanai T. Second-order perturbation theory with a density matrix renormalization group self-consistent field reference function: theory and application to the study of chromium dimer. J. Chem. Phys. 2011, 135, 094104. 10.1063/1.3629454. [DOI] [PubMed] [Google Scholar]
  58. Wouters S.; Van Speybroeck V.; Van Neck D. DMRG-CASPT2 study of the longitudinal static second hyperpolarizability of all-trans polyenes. J. Chem. Phys. 2016, 145, 054120. 10.1063/1.4959817. [DOI] [PubMed] [Google Scholar]
  59. Nakatani N.; Guo S. Density matrix renormalization group (DMRG) method as a common tool for large active-space CASSCF/CASPT2 calculations. J. Chem. Phys. 2017, 146, 094102. 10.1063/1.4976644. [DOI] [Google Scholar]
  60. Cheng Y.; Xie Z.; Ma H. Post-Density Matrix Renormalization Group Methods for Describing Dynamic Electron Correlation with Large Active Spaces. J. Phys. Chem. Lett. 2022, 13, 904–915. 10.1021/acs.jpclett.1c04078. [DOI] [PubMed] [Google Scholar]
  61. Ma Y.; Knecht S.; Keller S.; Reiher M. Second-Order Self-Consistent-Field Density-Matrix Renormalization Group. J. Chem. Theory Comput. 2017, 13, 2533–2549. 10.1021/acs.jctc.6b01118. [DOI] [PubMed] [Google Scholar]
  62. Fdez Galván I.; Vacher M.; Alavi A.; Angeli C.; Aquilante F.; Autschbach J.; Bao J. J.; Bokarev S. I.; Bogdanov N. A.; Carlson R. K.; Chibotaru L. F.; Creutzberg J.; Dattani N.; Delcey M. G.; Dong S. S.; Dreuw A.; Freitag L.; Frutos L. M.; Gagliardi L.; Gendron F.; Giussani A.; González L.; Grell G.; Guo M.; Hoyer C. E.; Johansson M.; Keller S.; Knecht S.; Kovačević G.; Källman E.; Li Manni G.; Lundberg M.; Ma Y.; Mai S.; Malhado J. P.; Malmqvist P. Å.; Marquetand P.; Mewes S. A.; Norell J.; Olivucci M.; Oppel M.; Phung Q. M.; Pierloot K.; Plasser F.; Reiher M.; Sand A. M.; Schapiro I.; Sharma P.; Stein C. J.; Sørensen L. K.; Truhlar D. G.; Ugandi M.; Ungur L.; Valentini A.; Vancoillie S.; Veryazov V.; Weser O.; Wesołowski T. A.; Widmark P.-O.; Wouters S.; Zech A.; Zobel J. P. P.; Lindh R. OpenMolcas: From Source Code to Insight. J. Chem. Theory Comput. 2019, 15, 5925–5964. 10.1021/acs.jctc.9b00532. [DOI] [PubMed] [Google Scholar]
  63. Aquilante F.; Autschbach J.; Baiardi A.; Battaglia S.; Borin V. A.; Chibotaru L. F.; Conti I.; De Vico L.; Delcey M.; Fdez Galván I.; Ferré N.; Freitag L.; Garavelli M.; Gong X.; Knecht S.; Larsson E. D.; Lindh R.; Lundberg M.; Malmqvist P. Å.; Nenov A.; Norell J.; Odelius M.; Olivucci M.; Pedersen T. B.; Pedraza-González L.; Phung Q. M.; Pierloot K.; Reiher M.; Schapiro I.; Segarra-Martí J.; Segatta F.; Seijo L.; Sen S.; Sergentu D.-C.; Stein C. J.; Ungur L.; Vacher M.; Valentini A.; Veryazov V. Modern Quantum Chemistry with [Open]Molcas. J. Chem. Phys. 2020, 152, 214117. 10.1063/5.0004835. [DOI] [PubMed] [Google Scholar]
  64. Wouters S.; Poelmans W.; Ayers P. W.; Van Neck D. CheMPS2: A Free Open-Source Spin-Adapted Implementation of the Density Matrix Renormalization Group for Ab Initio Quantum Chemistry. Comput. Phys. Commun. 2014, 185, 1501–1514. 10.1016/j.cpc.2014.01.019. [DOI] [Google Scholar]
  65. Balabanov N. B.; Peterson K. A. Systematically Convergent Basis Sets for Transition Metals. I. All-Electron Correlation Consistent Basis Sets for the 3d Elements Sc-Zn. J. Chem. Phys. 2005, 123 (6), 64107. 10.1063/1.1998907. [DOI] [PubMed] [Google Scholar]
  66. Kendall R. A.; Dunning T. H.; Harrison R. J. Electron Affinities of the First-Row Atoms Revisited. Systematic Basis Sets and Wave Functions. J. Chem. Phys. 1992, 96, 6796–6806. 10.1063/1.462569. [DOI] [Google Scholar]
  67. Dunning T. H. Gaussian Basis Sets for Use in Correlated Molecular Calculations. I. The Atoms Boron through Neon and Hydrogen. J. Chem. Phys. 1989, 90, 1007–1023. 10.1063/1.456153. [DOI] [Google Scholar]
  68. Phung Q. M.; Feldt M.; Harvey J. N.; Pierloot K. Toward Highly Accurate Spin State Energetics in First-Row Transition Metal Complexes: A Combined CASPT2/CC Approach. J. Chem. Theory Comput. 2018, 14, 2446–2455. 10.1021/acs.jctc.8b00057. [DOI] [PubMed] [Google Scholar]
  69. Aquilante F.; Malmqvist P. Å.; Pedersen T. B.; Ghosh A.; Roos B. O. Cholesky Decomposition-Based Multiconfiguration Second-Order Perturbation Theory (CD-CASPT2): Application to the Spin-State Energetics of CoIII (Diiminato)(NPh). J. Chem. Theory Comput. 2008, 4, 694–702. 10.1021/ct700263h. [DOI] [PubMed] [Google Scholar]
  70. Hess B. A. Relativistic Electronic-Structure Calculations Employing a Two-Component No-Pair Formalism with External-Field Projection Operators. Phys. Rev. A 1986, 33, 3742–3748. 10.1103/PhysRevA.33.3742. [DOI] [PubMed] [Google Scholar]
  71. Reiher M.; Wolf A. Exact Decoupling of the Dirac Hamiltonian. I. General Theory. J. Chem. Phys. 2004, 121, 2037–2047. 10.1063/1.1768160. [DOI] [PubMed] [Google Scholar]
  72. Reiher M.; Wolf A. Exact Decoupling of the Dirac Hamlltonian. II. The Generalized Douglas-Kroll-Hess Transformation up to Arbitrary Order. J. Chem. Phys. 2004, 121, 10945–10956. 10.1063/1.1818681. [DOI] [PubMed] [Google Scholar]
  73. Pierloot K.; Phung Q. M.; Ghosh A. Electronic Structure of Neutral and Anionic Iron-Nitrosyl Corrole. A Multiconfigurational and Density Matrix Renormalization Group Investigation. Inorg. Chem. 2020, 59, 11493–11502. 10.1021/acs.inorgchem.0c01312. [DOI] [PubMed] [Google Scholar]
  74. Barcza G.; Legeza Ö.; Marti K. H.; Reiher M. Quantum-Information Analysis of Electronic States of Different Molecular Structures. Phys. Rev. A 2011, 83, 012508. 10.1103/PhysRevA.83.012508. [DOI] [Google Scholar]
  75. Wouters S.; Van Neck D. The Density Matrix Renormalization Group for Ab Initio Quantum Chemistry. Eur. Phys. J. D 2014, 68, 272. 10.1140/epjd/e2014-50500-1. [DOI] [Google Scholar]
  76. Phung Q. M.; Wouters S.; Pierloot K. Cumulant Approximated Second-Order Perturbation Theory Based on the Density Matrix Renormalization Group for Transition Metal Complexes: A Benchmark Study. J. Chem. Theory Comput. 2016, 12, 4352–4361. 10.1021/acs.jctc.6b00714. [DOI] [PubMed] [Google Scholar]
  77. Ghigo G.; Roos B. O.; Malmqvist P. Å. A Modified Definition of the Zeroth-Order Hamiltonian in Multiconfigurational Perturbation Theory (CASPT2). Chem. Phys. Lett. 2004, 396, 142–149. 10.1016/j.cplett.2004.08.032. [DOI] [Google Scholar]
  78. Forsberg N.; Malmqvist P. Å. Multiconfiguration Perturbation Theory with Imaginary Level Shift. Chem. Phys. Lett. 1997, 274, 196–204. 10.1016/S0009-2614(97)00669-6. [DOI] [Google Scholar]
  79. Wu W.; De Hont J. T.; Parveen R.; Vlaisavljevich B.; Tolman W. B. Sulfur-Containing Analogues of the Reactive [CuOH]2+ Core. Inorg. Chem. 2021, 60, 5217–5223. 10.1021/acs.inorgchem.1c00216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Zhai H.; Chan G. K.-L. Low Communication High Performance Ab Initio Density Matrix Renormalization Group Algorithms. J. Chem. Phys. 2021, 154, 224116. 10.1063/5.0050902. [DOI] [PubMed] [Google Scholar]
  81. Yanai T.; Kurashige Y.; Mizukami W.; Chalupský J.; Lan T. N.; Saitow M. Density Matrix Renormalization Group for Ab Initio Calculations and Associated Dynamic Correlation Methods: A Review of Theory and Applications. Int. J. Quantum Chem. 2015, 115, 283–299. 10.1002/qua.24808. [DOI] [Google Scholar]
  82. a Reiher M.; Salomon O.; Artur Hess B. Reparameterization of hybrid functionals based on energy differences of states of different multiplicity. Theor. Chem. Acc. 2001, 107, 48–55. 10.1007/s00214-001-0300-3. [DOI] [Google Scholar]; b Salomon O.; Reiher M.; Hess B. A. Assertion and validation of the performance of the B3LYP* functional for the first transition metal row and the G2 test set. J. Chem. Phys. 2002, 117, 4729–4737. 10.1063/1.1493179. [DOI] [Google Scholar]
  83. Ghosh A.; Taylor P. R. High-level ab initio calculations on the energetics of low-lying spin states of biologically relevant transition metal complexes: a first progress report. Curr. Opin. Chem. Biol. 2003, 7, 113–124. 10.1016/S1367-5931(02)00023-6. [DOI] [PubMed] [Google Scholar]
  84. Harvey J. N.DFT Computation of Relative Spin-State Energetics of Transition Metal Compounds. In Principles and Applications of Density Functional Theory in Inorganic Chemistry I. Structure and Bonding; Springer: Berlin, Heidelberg, 2004; p 112. 10.1007/b97939. [DOI] [Google Scholar]
  85. Ghosh A. Transition metal spin state energetics and noninnocent systems: challenges for DFT in the bioinorganic arena. JBIC, J. Biol. Inorg. Chem. 2006, 11, 712–724. 10.1007/s00775-006-0135-4. [DOI] [PubMed] [Google Scholar]
  86. Swart M.; Gruden M. Spinning around in transition-metal chemistry. Acc. Chem. Res. 2016, 49 (12), 2690–2697. 10.1021/acs.accounts.6b00271. [DOI] [PubMed] [Google Scholar]
  87. Radoń M. Benchmarking quantum chemistry methods for spin-state energetics of iron complexes against quantitative experimental data. Phys. Chem. Chem. Phys. 2019, 21 (9), 4854–4870. 10.1039/C9CP00105K. [DOI] [PubMed] [Google Scholar]
  88. Reiher M. Theoretical study of the Fe(phen)2 (NCS)2 spin-crossover complex with reparametrized density functionals. Inorg. Chem. 2002, 41, 6928–6935. 10.1021/ic025891l. [DOI] [PubMed] [Google Scholar]
  89. Wasbotten I. H.; Ghosh A. Spin-State Energetics and Spin-Crossover Behavior of Pseudotetrahedral Cobalt (III)-Imido Complexes. The Role of the Tripodal Supporting Ligand. Inorg. Chem. 2007, 46, 7890–7898. 10.1021/ic700543f. [DOI] [PubMed] [Google Scholar]
  90. Ye S.; Neese F. Accurate Modeling of Spin-State Energetics in Spin-Crossover Systems with Modern Density Functional Theory. Inorg. Chem. 2010, 49, 772–774. 10.1021/ic902365a. [DOI] [PubMed] [Google Scholar]
  91. Droghetti A.; Alfè D.; Sanvito S. Assessment of Density Functional Theory For Iron(II) Molecules Across the Spin-Crossover Transition. J. Chem. Phys. 2012, 137, 124303. 10.1063/1.4752411. [DOI] [PubMed] [Google Scholar]
  92. Ali M. E.; Sanyal B.; Oppeneer P. M. Electronic Structure, Spin-States, and Spin-Crossover Reaction of Heme-Related Fe-Porphyrins: A Theoretical Perspective. J. Phys. Chem. B 2012, 116, 5849–5859. 10.1021/jp3021563. [DOI] [PubMed] [Google Scholar]
  93. Chen H.; Lai W.; Shaik S. Multireference and multiconfiguration ab initio methods in heme-related systems: What have we learned so far?. J. Phys. Chem. B 2011, 115, 1727–1742. 10.1021/jp110016u. [DOI] [PubMed] [Google Scholar]
  94. Lawson Daku L. M.; Aquilante F.; Robinson T. W.; Hauser A. Accurate spin-state energetics of transition metal complexes. 1. CCSD (T), CASPT2, and DFT study of [M(NCH)6]2+ (M= Fe, Co). J. Chem. Theory Comput. 2012, 8, 4216–4231. 10.1021/ct300592w. [DOI] [PubMed] [Google Scholar]
  95. Phung Q. M.; Martin-Fernandez C.; Harvey J. N.; Feldt M. Ab initio calculations for spin-gaps of non-heme iron complexes. J. Chem. Theory Comput. 2019, 15, 4297–4304. 10.1021/acs.jctc.9b00370. [DOI] [PubMed] [Google Scholar]
  96. Roemelt M.; Pantazis D. A. Multireference Approaches to Spin-State Energetics of Transition Metal Complexes Utilizing the Density Matrix Renormalization Group. Adv. Theory Simul. 2019, 2, 1800201. 10.1002/adts.201800201. [DOI] [Google Scholar]
  97. Neale S. E.; Pantazis D. A.; Macgregor S. A. Accurate computed spin-state energetics for Co(III) complexes: implications for modelling homogeneous catalysis. Dalton Trans. 2020, 49, 6478–6487. 10.1039/D0DT00993H. [DOI] [PubMed] [Google Scholar]
  98. Feldt M.; Phung Q. M. Ab Initio Methods in First-Row Transition Metal Chemistry. Eur. J. Inorg. Chem. 2022, 2022, e202200014 10.1002/ejic.202200014. [DOI] [Google Scholar]
  99. Reimann M.; Kaupp M. Spin-State Splittings in 3d Transition-Metal Complexes Revisited: Benchmarking Approximate Methods for Adiabatic Spin-State Energy Differences in Fe (II) Complexes. J. Chem. Theory Comput. 2022, 18, 7442–7456. 10.1021/acs.jctc.2c00924. [DOI] [PubMed] [Google Scholar]
  100. Pierloot K. The CASPT2 method in inorganic electronic spectroscopy: from ionic transition metal to covalent actinide complexes. Mol. Phys. 2003, 101, 2083–2094. 10.1080/0026897031000109356. [DOI] [Google Scholar]
  101. Taylor P. R. Weakly coupled transition-metal centres: High-level calculations on a model Fe (IV)-Fe (IV) system. J. Inorg. Biochem. 2006, 100, 780–785. 10.1016/j.jinorgbio.2006.01.026. [DOI] [PubMed] [Google Scholar]
  102. Ramırez-Solıs A.; Daudey J. P. Ab initio study on the spectroscopy of CuCl2. I. Benchmark calculations on the X2Πg-C2Δg and X2Πg-D2Δg transitions. J. Chem. Phys. 2004, 120, 3221–3228. 10.1063/1.1640992. [DOI] [PubMed] [Google Scholar]
  103. Verma P.; Varga Z.; Truhlar D. G. Hyper Open-Shell Excited Spin States of Transition-Metal Compounds: FeF2, FeF2···Ethane, and FeF2···Ethylene. J. Phys. Chem. A 2018, 122, 2563–2579. 10.1021/acs.jpca.7b12652. [DOI] [PubMed] [Google Scholar]
  104. Zhang D.; Truhlar D. G. Spin splitting energy of transition metals: A new, more affordable wave function benchmark method and its use to test density functional theory. J. Chem. Theory Comput. 2020, 16, 4416–4428. 10.1021/acs.jctc.0c00518. [DOI] [PubMed] [Google Scholar]
  105. Patra A. K.; Rowland J. M.; Marlin D. S.; Bill E.; Olmstead M. M.; Mascharak P. K. Iron Nitrosyls of a Pentadentate Ligand Containing a Single Carboxamide Group: Syntheses, Structures, Electronic Properties, and Photolability of NO. Inorg. Chem. 2003, 42, 6812–6823. 10.1021/ic0301627. [DOI] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

ic3c03689_si_001.pdf (1.3MB, pdf)

Data Availability Statement

All data generated or analyzed in this study are included in this published article and its Supporting Information.


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