Abstract
Understanding magnetically induced currents (MICs) in aromatic or metallic nanostructures is crucial for interpreting local magnetic shielding and NMR data. Direct measurements of the induced currents have been successful only in a few planar molecules but their indirect effects are seen in NMR shifts of probe nuclei. Here, we have implemented a numerically efficient method to calculate gauge-including MICs in the formalism of auxiliary density functional theory. We analyze the currents in two experimentally synthesized gold-based, hydrogen-containing ligand-stabilized nanoclusters [HAu9(PPh3)8]2+ and [PtHAu8(PPh3)8]+. Both clusters have a similar octet configuration of Au(6s)-derived delocalized “superatomic” electrons. Surprisingly, Pt-doping in gold increases the diatropic response of the superatomic electrons to an external magnetic field and enhances the aromaticity of [PtHAu8(PPh3)8]+. This is manifested by a stronger shielding of the hydrogen proton in the metal core of the cluster as compared to [HAu9(PPh3)8]2+, causing a significant upfield shift in agreement with experimental proton NMR data measured for these two clusters. Our method allows the determination of local magnetic shielding properties for any component in large 3D nanostructures, opening the door for detailed interpretation of complex NMR spectra.
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Introduction
Magnetically induced currents (MICs) originate from the response of electrons of an object placed in an external magnetic field B1,2. A diamagnetic object (atom, molecule, cluster, nanoparticle, nanostructure) generates an internal ring electron current in a plane normal to B in such a way that it induces a magnetic field opposite to the external one. This classical ring current is called a diatropic current, increasing the shielding of the part of the object inside the current ring against the effect of the external field. Systems with strong diatropic currents are called aromatic2,3. Antiaromatic systems have a strong non-classical current component (paratropic current) that tends to create an internal magnetic field parallel to the external one. Non-aromatic systems have a vanishing net current due to similar diatropic and paratropic contributions. Although recent efforts have been made to directly measure ring currents in atoms and planar molecules4, it is still a considerable challenge to detect them in more complex systems such as 3D clusters or nanoparticles. Their effects can be studied indirectly since they affect the shielding/de-shielding properties visible in NMR shifts of probe nuclei, which can be calculated routinely from various approaches using the density functional theory (DFT)5,6 even for fairly large nanostructures7,8,9. However, after the pioneering work from Jusélius and colleagues10, efficient self-consistent methods to calculate, analyse and visualize local MICs inside complex nanostructures have been lacking, preventing detailed analyses of the local electronic structure and magnetic shielding.
Ligand-stabilized metal clusters11,12 have emerged as tunable nanomaterials with a range of potential applications in catalysis13,14,15,16, nanomedicine17, biological sensors18, and CO2 reduction19,20 among others. In most cases, the metal core of these clusters is composed of noble metals, possibly doped with transition metals. The core is protected chemically by organic ligand molecules which modify its electronic structure. The electronic structure of ligand-stabilized metal clusters is commonly interpreted in terms of the superatom concept, introduced in 200811. Similar to electrons residing in quantized energy shells in the ordinary atoms, metal valence electrons in superatoms can respond to an external electromagnetic field and generate MICs in these rather complicated 3D nanostructures.
Here, we have implemented a numerically efficient method to calculate gauge-including MICs in the formalism of auxiliary density functional theory. We validate the method by studying two hydrogen-containing gold-based, ligand stabilized nanoclusters [HAu9(PPh3)8]2+ (1) and [PtHAu8(PPh3)8]+ (2). We are able to explain the measured21,22,23 anomalous difference in the proton NMR shift of the hydrogen in the metal core of these superatoms (15.4 ppm in 1 vs. 5.4 ppm in 2) by analyzing the local diatropic and paratropic MICs around the hydrogen atom. Surprisingly, Pt-doping of the gold core in (2) makes the system more aromatic, also increasing the magnetic shielding around the hydrogen. Our work presents a methodological advance for detailed analyses of the local electronic structure of the metal core and the protecting layer of superatoms, offering new possibilities to understand their growth, structure, and functions.
Results
Computation of the gauge-including magnetically induced current
Historically, computations of magnetic properties led to a problem that arises from the choice of the gauge origin. In a homogeneous medium, a magnetic field B can be defined through a vector potential A(r) (B = ∇ × A(r)) but the opposite does not hold due to the arbitrary scalar function found in B = ∇ × (A(r) + ∇ Φ(r))10. In standard DFT computations the use of finite basis sets introduces a gauge dependence in the magnetic calculations that can be overcome only in the limit of a complete basis set. To avoid this problem, the idea to use magnetic field-dependent basis functions goes back to the calculation of ring currents by the seminal work of London24. In this way the gauge dependence on the origin can be eliminated. These functions are known as gauge—including atomic orbitals (GIAO) defined in the Coulomb gauge (∇ ⋅ A(r) = 0). In large-scale computations small basis sets can be used to achieve rapid convergence5,10.
The shielding tensor σC,λη for the nucleus C is defined as the second derivative of the energy with respect to the external magnetic field B and the nuclear magnetic moment μC in the limit of zero magnetic field and zero nuclear magnetic moment (λ, η = x, y, z)25.
An alternative expression to compute the nuclear magnetic shielding tensor via the Biot–Savart law1,26,27,28 is
where εηατ(η, α, τ = x, y, z) is the Levi–Civita tensor, C is the position of the nucleus C and
are the first-order elements of the tensor for the MIC density. Equating Eqs. (1) and (2) one can obtain the MIC that only includes direct dependence on basis functions, first derivatives of basis functions, density matrix, and magnetically perturbed density matrix. In this work, we take advantage of the high efficiency to calculate the nuclear shielding tensors5 employing GIAOs to compute gauge-including magnetically induced currents (GIMIC). The implementation was done in the deMon2k29 code (see short summary in Methods and the detailed discussion of relevant algebra in Supplementary Methods).
Atomic and electronic structure of the studied superatoms
We studied two previously reported phosphine-protected gold-based clusters, [HAu9(PPh3)8]2+ (1, ref. 21,30) and [HPtAu8(PPh3)8]+ (2, ref. 22,23). The position of the hydrogen atom in the metal core has been previously deduced by NMR analysis in clusters 121 and 222,23. Their DFT-optimized structures are shown in Fig. 1. Cluster 1 shows a C4v symmetry in the core (formally (HAu9)2+) and a C4 symmetry including the ligand layer. Cluster 2 shows a lower C2 symmetry both in the metal core (formally (HPtAu8)+) and in the ligand layer. The two “crown-like” metal cores have an atom (Au/Pt) at the center and can be characterized by four distances d1–d4 and their respective distortions d1a,b–d3a,b (Fig. 1).
For the cluster 1 the distance d3 (2.77 Å) is longer than d4 (2.70 Å) both preserving a perfect square on top and bottom from the central Au atom (square edge being 3.57 and 3.40 Å respectively). In cluster 2 there are three characteristic distances from the central Pt atom, a shorter one to the top square (2.66 Å) and two longer (2.68 and 2.71 Å) to the bottom parallelogram. Both parallelograms are distorted from the perfect square showing longer distances on top (edges 3.65 and 3.58 Å) than on bottom (edges 3.10 and 3.15 Å). This indicates the effect of the central atom (Au/Pt) on the geometry. For cluster 1 the distance between H and the central Au is 1.72 Å and for cluster 2 the corresponding distance to central Pt atom is shorter, 1.63 Å.
The electronic structure of 1 and 2 was analyzed by projecting the frontier orbitals to cluster-centered spherical harmonics Ylm. The projected density of states (Supplementary Note 1 and Supplementary Fig. 1) shows that both clusters are 8-electron superatoms with a closed-shell configuration and significant HOMO-LUMO energy gaps (1.88 eV for 1 and 1.93 eV for 2) as expected from their chemical formula and overall charge11. The Bader atomic charge analysis31 showed for both hydrogens nearly similar, vanishing charges, −0.09 e in 1 and −0.06 e in 2. This, combined with analysis of the superatomic orbitals (Supplementary Fig. 1) indicates that both hydrogens can be thought of as neutral atoms, contributing their s-electron to the superatomic electron system. Frontier orbital analysis of 1 done in ref. 21 led to similar conclusions.
NMR chemical shifts
First, we calculated proton shifts for the ortho-, meta-, and para-positions in PPh3 ligands for clusters 1 and 2 and compared with experimental data (Table 1 and Supplementary Table 1). This served also as an internal test for the DFT approximations (xc functional and basis set) in the calculations.
In cluster 1 the measured signals21 fragmented into three groups. A broad signal at 7.25 ppm was assigned to the o-proton. This smeared out triplet peak was explained by the spin–spin coupling with the neighboring phosphorous and the m-proton. The 6.62 ppm triplet signal was assigned to the m-proton and the 7.05 ppm triplet was assigned to the p-proton. The DFT results showed a 7.26–7.44 ppm chemical shift for the o-proton depending on the level of theory employed. This proton showed the highest standard deviation (0.78–0.89 ppm) independently of the level of theory employed within the three o-, m-, and p-proton analyzed, in good agreement with the chemical shifts observed. Computed values for the m-proton were in the range of 7.16–7.27 ppm with standard deviation of 0.38–0.39 ppm, and for the p-proton in the range of 7.44–7.53 ppm with standard deviation of 0.22–0.26 ppm.
Since the ligand layer of cluster 2 is similar to that of cluster 1, the measured o-, m-, and p-proton shifts showed almost identical values to the ones measured for 1. The computed values were within 0.4 ppm from the experimental values for o- and m-protons and within 0.2 ppm for p-protons (Table 1 and Supplementary Table 1). We note that all our computed values for the proton shifts are based on a single structure of the cluster and a full exploration of the distribution of the proton shifts due to ligand dynamics and potential solvent effects is not possible at the moment.
Next, we turn to the discussion of the NMR shift of the hydrogen in the metal cores of 1 and 2. The hydrogen peak of 1 was observed at 15.1 ppm21 in comparison with the previously reported 5.4 ppm for 222,23 (Table 2 and Supplementary Table 2). This anomalously large difference (Δ = 9.7 ppm) is rather surprising in view of similar atomic geometries of 1 and 2. Our computed values are notably shifted upfield (Table 2 and Supplementary Table 2) but show consistently a qualitatively similar difference in the range of Δ = 4.3–4.5 ppm, independent of the level of DFT approximations. The systematic upfield shift and smaller Δ obtained in the computations could be explained by the limitations in the description of the electron density and the scalar-relativistic approximation used in the effective core potential32,33,34,35,36. These approximations preclude the calculations of the shielding tensor on the true all-electron density around the Pt and Au atoms including also the full spin-orbit effects.
The anomalous difference of the hydrogen shifts in 1 and 2 prompted the authors of ref. 21 to speculate the reasons arising either from different hydrogen charge or different magnetic shielding around the hydrogen in these superatoms. However, our charge analysis indicated essentially identical hydrogen charge in both systems as discussed above. Hence, we next seek the explanation by examining the computed magnetically induced currents in 1 and 2. We chose to use the PBE xc functional and the SDD pseudopotential in these computations.
Magnetically induced currents
The nine-component current density tensor \({{{{\mathcal{J}}}}}_{\tau }^{(\lambda )}\) (Eq. (3)) is a complex object and difficult to visualize. But, given a particular direction of the external magnetic field, one can analyze the current density as a vector function J(r). We chose an external magnetic field B = 1 T in a direction pointing from the central Au/Pt atom of clusters 1 and 2 to the hydrogen site and analysed J(r) in a cube containing 20 × 20 × 20 grid points centered at the central atom.
3D visualizations of J(r) (Supplementary Fig. 2 and Supplementary Movies 1 and 2) reveal a surprising qualitative indirect effect of the central Pt atom in cluster 2 on MICs around the core-hydrogen site. It is seen that Pt-doping of the gold changes significantly the diatropic current around the core-hydrogen as compared to cluster 1. To understand this interesting effect, a more quantitative analysis of this phenomenon is presented in Figures 2 and 3 and in Table 3. Figure 2 shows the projected vectorial field of J(r) as well as the diatropic and paratropic contributions in the x-y planes containing either the core-hydrogen or the central Au/Pt atoms in 1 and 2. Pt-doping in 2 has a tiny paratropic current basically at the metal site but induces a large area of diatropic current in the metal core of 2. In cluster 1, the corresponding gold site induces a deep maximum in the diatropic current immediately around the metal site but the paratropic contribution comes into play in the vicinity, neutralizing the diatropic effect. This interplay is seen quantitatively in Fig. 3 that shows circularly integrated currents in the x-y planes containing the central metal site. Radial integrals of the contributions up to 4 Å radius show diatropic/paratropic components of (−2.619/0.715) Å2nA/T in 2 as compared to (−1.626/1.184) Å2nA/T in 1 (table 3). This causes the total integrated current to be −1.905 Å2nA/T in 2 vs. −0.442 Å2nA/T in 1 indicating an enhanced aromaticity in that plane in cluster 2.
The enhanced aromaticity in the Pt-doped cluster 2 has an indirect effect also in the plane containing the core-hydrogen, revealing a key mechanism to understand the previously reported proton NMR shifts.21,22,23 Analogously to the central x-y plane discussed above, the Pt-doped cluster has also a larger diatropic environment around the core-hydrogen as compared to the all-gold cluster. Radially integrated diatropic/paratropic currents up to 4 Å in the plane containing the core-hydrogen are (−1.297/0.667) Å2nA/T for 2 and (−1.034/1.253) Å2nA/T for 1. As a result, the total integrated current around the core-hydrogen in 1 is paratropic (0.218 Å2nA/T) while in 2 it is diatropic (−0.63 Å2nA/T). This qualitative and quantitative difference in the magnetic shielding between 1 and 2 provides the explanation for the reported21 downfield shift of the core-hydrogen in 1.
Discussion
We have implemented and validated a numerically efficient method to calculate, analyse and visualize magnetically induced currents in nanostructures. The method is based on using gauge-including atomic orbitals in the framework of the auxiliary density functional theory. To validate the method, we studied diatropic and paratropic currents inside a metal core of two experimentally synthesized and characterized gold-based, hydrogen-containing ligand-protected clusters [HAu9(PPh3)8]2+ and [HPtAu8(PPh3)8]+. Our computed proton NMR shifts for the hydrogens reproduce the anomalous trend observed in the experiment, where the hydrogen in [HAu9(PPh3)8]2+ was significantly downfield-shifted. Analysis of the MICs in the metal cores showed that Pt doping of the gold core in [HPtAu8(PPh3)8]+, surprisingly, increases the overall contribution of diatropic currents in the core, making the cluster more aromatic. This results in a better magnetic shielding of the hydrogen in [HPtAu8(PPh3)8]2+ causing an upfield proton chemical shift while the net effect of the shielding currents is paratropic in a plane of the hydrogen in [HAu9(PPh3)8]2+ inducing de-shielding and down-field proton chemical shift.
We expect that the methodological advancement reported in this work will allow for detailed studies of local electronic structure in ligand-stabilized metal clusters which will yield an improved understanding of their physico-chemical properties and tunability for diverse applications.
Methods
Ground state DFT calculations
The structures of clusters 1 and 2 were optimized using the real-space grid based GPAW37,38 program with a uniform grid spacing of 0.2 Å. Pt, Au, C, and P atoms were described by valence of 16, 11, 4, and 5, respectively, and the frozen core approximation was used for inner electrons. The PAW setups for Pt and Au include scalar-relativistic effects. The PBE39 functional was employed for the exchange-correlation interaction. Structure optimization was continued until the force on each atom was less than 0.05 eV/Å. To identify the superatom symmetries of the frontier orbitals, the Ylm analysis11 was performed for all the clusters with a cutoff radius of 4.0 Å. A Bader charge analysis31 was performed for the studied systems using the density obtained in a single point computation in GPAW.
NMR chemical shifts and magnetic currents
The magnetic shielding tensors and gauge-including magnetically induced currents were computed in deMon2k29 code employing the Auxiliary Density Functional Theory (ADFT) approach. For the 1H NMR chemical shift and the MIC computations the geometries optimized in GPAW were used with PBE39 and BP8640,41 level for exchange-correlation effects. The Stuttgart–Dresden (SDD) pseudopotential42 (Au and Pt are described by a valence of 19 and 18 electrons respectively) along with the DZVP43 basis set (P, C, and H) and the effective core potentials LANL2DZ44 along with D9545 basis set (P, C, and H) were employed. All the computations were performed in combination with the GEN-A2* auxiliary function set. Each 1H chemical shift was referenced to the 1H TMS chemical shift computed in the respective level of theory.
Code availability
Both DFT codes (GPAW and deMon2k) used in this work are free to download for academic use at the respective sites. GPAW can be downloaded at https://wiki.fysik.dtu.dk/gpaw/. The gauge-including MIC calculations are implemented in the version 6.1.8 of the deMon2k code (http://www.demon-software.com/public_html/index.html).
Change history
20 January 2022
A Correction to this paper has been published: https://doi.org/10.1038/s41467-022-28053-w
References
Lazzeretti, P. Ring currents. Prog. Nucl. Magn. Reson. Spectrosc. 36, 1–88 (2000).
Sundholm, D., Fliegl, H. & Berger, R. J. Calculations of magnetically induced current densities: theory and applications. Wiley Interdiscip. Rev. Comput. Mol. Sci. 6, 639–678 (2016).
Solà, M. Connecting and combining rules of aromaticity. Towards a unified theory of aromaticity. WIREs Comput. Mol. Sci. 9, e1404 (2019).
Neufeld, O. & Cohen, O. Background-free measurement of ring currents by symmetry-breaking high-harmonic spectroscopy. Phys. Rev. Lett. 123, 103202 (2019).
Zuniga-Gutierrez, B., Geudtner, G. & Köster, A. M. NMR shielding tensors from auxiliary density functional theory. J. Chem. Phys. 134, 124108 (2011).
Zuniga-Gutierrez, B., Geudtner, G. & Köster, A. M. Magnetizability tensors from auxiliary density functional theory. J. Chem. Phys. 137, 094113 (2012).
Salorinne, K. et al. Conformation and dynamics of the ligand shell of a water-soluble Au102 nanoparticle. Nat. Commun. 7, 10401 (2016).
Peeks, M. D., Claridge, T. D. W. & Anderson, H. L. Aromatic and antiaromatic ring currents in a molecular nanoring. Nature 541, 200–203 (2017).
Sun, C. et al. Atomically precise, thiolated copper-hydride nanoclusters as single-site hydrogenation catalysts for ketones in mild conditions. ACS Nano 13, 5975–5986 (2019).
Jusélius, J., Sundholm, D. & Gauss, J. Calculation of current densities using gauge-including atomic orbitals. J. Chem. Phys. 121, 3952–3963 (2004).
Walter, M. et al. A unified view of ligand-protected gold clusters as superatom complexes. Proc. Natl Acad. Sci. USA. 105, 9157–9162 (2008).
Tsukuda, T. & Häkkinen, H. Protected Metal Clusters: From Fundamentals to Applications, vol. 9 (Elsevier, 2015).
Jin, R., Zeng, C., Zhou, M. & Chen, Y. Atomically precise colloidal metal nanoclusters and nanoparticles: fundamentals and opportunities. Chem. Rev. 116, 10346–10413 (2016).
Yan, J., Teo, B. K. & Zheng, N. Surface chemistry of atomically precise coinage-metal nanoclusters: from structural control to surface reactivity and catalysis. Acc. Chem. Res. 51, 3084–3093 (2018).
Du, Y., Sheng, H., Astruc, D. & Zhu, M. Atomically precise noble metal nanoclusters as efficient catalysts: a bridge between structure and properties. Chem. Rev. 120, 526–622 (2020).
Chakraborty, I. & Pradeep, T. Atomically precise clusters of noble metals: emerging link between atoms and nanoparticles. Chem. Rev. 117, 8208–8271 (2017).
Boisselier, E. & Astruc, D. Gold nanoparticles in nanomedicine: preparations, imaging, diagnostics, therapies and toxicity. Chem. Soc. Rev. 38, 1759–1782 (2009).
Saha, K., Agasti, S. S., Kim, C., Li, X. & Rotello, V. M. Gold nanoparticles in chemical and biological sensing. Chem. Rev. 112, 2739–2779 (2012).
Zhao, S., Jin, R. & Jin, R. Opportunities and challenges in CO2 reduction by gold- and silver-based electrocatalysts: from bulk metals to nanoparticles and atomically precise nanoclusters. ACS Energy Lett. 3, 452–462 (2018).
Narouz, M. R. et al. N-heterocyclic carbene-functionalized magic-number gold nanoclusters. Nat. Chem. 11, 419–425 (2019).
Takano, S., Hirai, H., Muramatsu, S. & Tsukuda, T. Hydride-doped gold superatom (Au9H)2+: Synthesis, structure, and transformation. J. Am. Chem. Soc. 140, 8380–8383 (2018).
Bour, J. et al. Hydride platinum gold clusters: synthesis and characterization. Inorg. Chim. Acta 181, 195 – 200 (1991).
Pignolet, L. H. et al. Phosphine-stabilized, platinum-gold and palladium-gold cluster compounds and applications in catalysis. Coord. Chem. Rev. 143, 219 – 263 (1995).
London, F. Thèorie quantique des courants interatomiques dans les combinaisons aromatiques. J. Phys. Radium 8, 397 (1937).
Helgaker, T., Jaszuński, M. & Ruud, K. Ab initio methods for the calculation of NMR shielding and indirect spin-spin coupling constants. Chem. Rev. 99, 293–352 (1999).
Jameson, C. J. & Buckingham, A. D. Nuclear magnetic shielding density. J. Phys. Chem. 83, 3366–3371 (1979).
Jameson, C. J. & Buckingham, A. D. Molecular electronic property density functions: the nuclear magnetic shielding density. J. Chem. Phys. 73, 5684–5692 (1980).
Bieger, W., Seifert, G., Eschrig, H. & Grossmann, G. LCAO Xα calculations of nuclear magnetic shielding in molecules. Chem. Phys. Lett. 115, 275–280 (1985).
Köster, A. et al. deMon2k, Version 6, The deMon developers, Cinvestav, Mexico City (2018).http://www.demon-software.com/.
Yamazoe, S. et al. Suppressing isomerization of phosphine-protected Au9 cluster by bond stiffening induced by a single Pd atom substitution. Inorg. Chem. 56, 8319–8325 (2017).
Tang, W., Sanville, E. & Henkelman, G. A grid-based Bader analysis algorithm without lattice bias. J. Phys. Condens. Matter 21, 084204 (2009).
Hrobárik, P. et al. Relativistic four-component DFT calculations of 1H NMR chemical shifts in transition-metal hydride complexes: Unusual high-field shifts beyond the Buckingham-Stephens model. J. Phys. Chem. A 115, 5654–5659 (2011).
Bühl, M. & Kabrede, H. Geometries of transition-metal complexes from density-functional theory. J. Chem. Theory Comput. 2, 1282–1290 (2006).
Bühl, M., Reimann, C., Pantazis, D. A., Bredow, T. & Neese, F. Geometries of third-row transition-metal complexes from density-functional theory. J. Chem. Theory Comput. 4, 1449–1459 (2008).
Waller, M. P., Braun, H., Hojdis, N. & Bühl, M. Geometries of second-row transition-metal complexes from density-functional theory. J. Chem. Theory Comput. 3, 2234–2242 (2007).
Xu, X. & Truhlar, D. G. Performance of effective core potentials for density functional calculations on 3d transition metals. J. Chem. Theory Comput. 8, 80–90 (2012).
Mortensen, J. J., Hansen, L. B. & Jacobsen, K. W. Real-space grid implementation of the projector augmented wave method. Phys. Rev. B 71, 035109 (2005).
Enkovaara, J. et al. Electronic structure calculations with GPAW: a real-space implementation of the projector augmented-wave method. J. Phys. Condens. Matter 22, 253202 (2010).
Perdew, J., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).
Becke, A. D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A 38, 3098–3100 (1988).
Perdew, J. P. Density-functional approximation for the correlation energy of the inhomogeneous electron gas. Phys. Rev. B 33, 8822–8824 (1986).
Pritchard, B. P., Altarawy, D., Didier, B., Gibson, T. D. & Windus, T. L. New basis set exchange: an open, up-to-date resource for the molecular sciences community. J. Chem. Inf. Model. 59, 4814–4820 (2019).
Calaminici, P., Janetzko, F., Köster, A. M., Mejia-Olvera, R. & Zuniga-Gutierrez, B. Density functional theory optimized basis sets for gradient corrected functionals: 3d transition metal systems. J. Chem. Phys. 126, 044108 (2007).
Hay, P. J. & Wadt, W. R. Ab initio effective core potentials for molecular calculations. Potentials for K to Au including the outermost core orbitals. J. Chem. Phys. 82, 299–310 (1985).
Dunning Jr, T. & Hay, P. Modern Theoretical Chemistry, vol. 3 (Plenum, New York, 1977).
Takano, S., Ito, S. & Tsukuda, T. Efficient and selective conversion of phosphine-protected (MAu8)2+ (M = Pd, Pt) superatoms to thiolate-protected (MAu12)6+ or alkynyl-protected (MAu12)4+ superatoms via hydride doping. J. Am. Chem. Soc. 141, 15994–16002 (2019).
Acknowledgements
This work was supported by the Academy of Finland (grants 294217, 319208, 315549), and through H.H.’s Academy Professorship. E.S. acknowledges the The Finnish Cultural Foundation for a PhD study grant. The computations were made at the Nanoscience Center of the University of Jyväskylä by utilizing the FCCI - Finnish Computing Competence Infrastructure (persistent indentifier urn:nbn:fi:research-infras-2016072533). B.Z.G. acknowledges the funding from CONACyT project CB-2015-258647.
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O.L.-E. conceived the concept, performed all DFT calculations, analyzed the results together with E.S. and S.M. and wrote the first manuscript draft. B.Z.-G. implemented the GIMIC method in deMon2k. H.H. supervised the work. All authors commented on the manuscript draft that was finalized by H.H.
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López-Estrada, O., Zuniga-Gutierrez, B., Selenius, E. et al. Magnetically induced currents and aromaticity in ligand-stabilized Au and AuPt superatoms. Nat Commun 12, 2477 (2021). https://doi.org/10.1038/s41467-021-22715-x
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DOI: https://doi.org/10.1038/s41467-021-22715-x
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