Abstract

Coinage metal clusters are of great importance for a wide range of scientific fields, ranging from microscopy to catalysis. Despite their clear fundamental and technological importance, the experimental structural determination of copper clusters has attracted little attention. We fill this gap by elucidating the structure of cationic copper clusters through infrared (IR) photodissociation spectroscopy of Cun+–Arm complexes. Structures of Cun+ (n = 3–10) are unambiguously assigned based on the comparison of experimental IR spectra in the 70–280 cm–1 spectral range with spectra calculated using density functional theory. Whereas Cu3+ and Cu4+ are planar, starting from n = 5, Cun+ clusters adopt 3D structures. Each successive cluster size is composed of its predecessor with a single atom adsorbed onto the face, giving evidence of a stepwise growth.
Transition-metal clusters are of great interest and considerable importance to the fields of heterogeneous catalysis, solid-state physics, surface chemistry, and organometallic chemistry due to their frequently strongly size-dependent properties of magnitudes that are often not present in small molecular or bulk systems. Part of the fascination of clusters stems from their often enhanced reactivity with respect to the bulk, typically attributed to the larger number of undercoordinated atoms, involving free d electrons to actively participate in the bonding. The coinage metals’ (Cu, Ag, Au) special place in this stems from their closed d shell, forcing s electrons to become involved in bonding and often leading to much more gentle activation of feedstock molecules.1,2
Of the coinage metal clusters, gold has, not unreasonably, attracted the most attention, especially after the ground-breaking experiments by Haruta and coworkers demonstrating catalytic CO oxidation at low temperatures.3 Whereas gold certainly has laid claim to being a “special” element, the chemical importance of other coinage metal clusters has to a certain point been neglected by this proverbial gold rush. The catalytic activity of, for instance, the industrial CO2 hydrogenation catalyst has been largely attributed to copper nanoparticles on an Al3O4 surface with ZnO as a cocatalyst.4,5 It has been shown that the CO2 hydrogenation is structure-sensitive, where smaller Cu nanoparticles exhibit larger turnover frequencies.6 Yet the mechanism for hydrogenation remains elusive, even for the very first step. Using clusters as well-defined model systems, proposed reaction pathways can be tested with high confidence, allowing much needed insight. Beside this role as a model system, clusters may also act as a catalyst under technical conditions themselves. Recently, it was shown that deposited Cu4+ can lower the activation barrier for the methanol formation from CO2,7 thereby illustrating the potential of nanotailored catalysts.
For both roles, however, knowledge of the clusters themselves and, in particular, of their structures, is imperative. In the model system scenario, it is of great importance to know the cluster morphology prior to exposing it to reactants, whereas for studies on deposited clusters, size-selected prior to soft landing, the influence of the substrate on the cluster geometry must be taken into account.8 Despite the fact that Cu clusters were among the first clusters produced,9 the available structural information is limited to photoelectron spectroscopy for anions,10−13 mass spectrometric studies using H2O as the molecular probe to reveal the number of adsorption sites,14 photodissociation spectra in the visible range,15,16 and an ion-mobility mass spectrometry (IMS) study17 for cations.
Infrared multiple photon dissociation (IRMPD) spectroscopy has a solid track record in determining the molecular structure of metal clusters and can do so mass-selectively using weakly bound messenger atoms or molecules.18,19 We recorded IRMPD spectra of Cun+–Arm (n = 3–10, m = 1–4) in a molecular beam environment using IR light produced by the free-electron laser (FEL) FELIX in the 70–280 cm–1 spectral range20 and mass-selective detection. The experimental IR spectra for four of the cluster sizes studied are shown in Figure 1, whereas a complete overview of spectra for Cun+–Arm can be found in the Supporting Information (SI). The experimental IR spectra are complemented by spectra calculated for trial structures using density functional theory (DFT) calculations at the PBE-D3/TZVP level. Isomers for pure copper clusters as well as clusters complexed with argon are considered to assess the role of the messenger.
Figure 1.
Comparison of IRMPD spectra of Cu4+–Ar4, Cu5+–Ar3, Cu7+–Ar3, and Cu10+–Ar (black dots; the blue line represents a five-point adjacent average) with calculated vibrational spectra of three low-energy isomers (black lines) and their complexes with Ar (red shading). The corresponding structures and relative energies of the bare clusters are reported above each spectrum.
Complexation of copper clusters with Ar atoms is strongly influenced by temperature and Ar concentration; the mass distribution with which IR spectra were recorded forms a compromise between low Ar coverage and the mass range over which IR spectra could be recorded. To reduce contamination due to ingrowth from Cun+–Arm+1 complexes, for each cluster size n, we display the spectrum for the complex Cun+–Arm with the highest intensity in the mass spectrum. As a result, spectra for the lower cluster masses have been recorded at relatively high Ar coverage, illustrated by Cu4+–Ar4. Its IRMPD spectrum exhibits four well-resolved bands (83, 103, 132, and 207 cm–1) with line widths (full width at half-maximum (fwhm)) of ∼11 cm–1. To assign this spectrum, it is compared with the calculated spectra of three isomers of Cu4+; comparisons with further isomers can be found in the SI. Only doublet spin isomers are considered here (just as for further even-sized clusters, where singlet states are considered for odd-sized clusters) because they were calculated to be lower in energy than other spin state isomers, in agreement with what has been reported at the LCGTO-GGA theoretical level.21 The assignment of the IRMPD spectrum based on the calculated spectra of bare Cu4+ is not possible, as it is evident that each of the structures proposed does not have sufficient bands to explain the experimental spectrum. Sure enough, the 132 and 207 cm–1 bands match the calculated spectrum for the lowest energy D2h rhombic structure 4A very well, but this leaves the lower frequency bands unaccounted for. The inclusion of the Ar messenger atoms in the DFT calculations quite drastically changes the predicted spectrum. Now all four observed bands are predicted, agreeing in both frequency and relative intensity. The two lowest-frequency bands (observed at 83 and 103 cm–1) that were not predicted by the calculations for the bare Cu4+ originate from motions of the Ar relative to cluster. Also, slight shifts for the higher frequency bands are calculated, from 130 and 212 cm–1 for the bare clusters to 138 and 215 cm–1 for the complex. These bands are associated with elongations of the cluster along the Cu–Cu axes, which are sterically hindered by the presence of the Ar. However, they do not disturb the original structure dramatically, as illustrated by the relatively low calculated binding energies of 0.20 and 0.27 eV for binding to the copper atoms positioned along the long and short axes, respectively. It is of further interest that the presence of Ar atoms increases the IR intensity of the bands to over ten times, suggesting that the Ar acts as an “antenna”.
The IRMPD spectrum recorded for Cu5+–Ar3 is simpler than that for Cu4+–Ar4, exhibiting just two well-resolved bands and suggesting a higher symmetry structure. In the literature, the structure of Cu5+ has been the subject of considerable debate, with both planar and 3D structures proposed to be most stable.2,17,22,23 Here it is compared with the calculated spectra of three isomers of Cu5+ within 0.1 eV relative to each other. The comparison for the bare structures suggests the assignment to a D3h trigonal bipyramid isomer 5A, with a reasonable agreement for the bands observed at 188 cm–1 (177 cm–1 calculated) and at 121 cm–1 (93 cm–1 calculated). Calculated modes correspond to in-plane and out-of-plane distortions of the triangular base plane. Ar binding to atoms of the triangular base is energetically the most favorable, where the steric hindrance caused by the Ar shifts the calculated bands to 189 and 121 cm–1, respectively, resulting in an almost perfect match with the experimental bands. Ar complexation of the planar structure 5C is not energetically favorable (0.06 eV higher than the lowest energy complex of 5A), nor does it provide a better agreement with the observed spectrum. IMS measurements by Weis suggest a planar structure 5C for Cu5+.17 Because the current calculations suggest that Ar complexation energetically favors structure 5A, the current work cannot decisively conclude the discussion on the structure of Cu5+.
The IRMPD spectrum of Cu7+–Ar3 shows four bands at 103, 146, 205, and 225 cm–1, respectively. In contrast with the smaller clusters discussed so far, we can here assign the IRMPD spectrum to a structure based on the calculations for the bare cluster alone: The lowest energy structure 7A, a pentagonal bipyramid with D5h symmetry, shows a quite reasonable match with three (102, 137, and 226 cm–1) of four bands found experimentally. Alternative candidate structures 7B and 7C, 0.3 and 0.4 eV higher in energy, respectively, are characterized by high-intensity bands around 120 cm–1, which are absent in the IRMPD spectrum. For completeness, we also calculated the spectrum for the lowest energy structures Cu7+–Ar3 for 7A–C. Optimization of Ar complexes of structure 7C consistently led to the isomerization of the cluster to either 7A or 7B. The calculated spectrum for the Ar-complexed 7B is essentially the same as that for the bare structure, except for some shifting bands that do not match the experimental spectrum. For 7A, the presence of two Ar atoms on the five-fold symmetry axis does not lead to symmetry breaking, but the third one in the pentagonal plane does, albeit only slightly. As a consequence, extra bands appear in the spectrum, for instance, the high-frequency shoulder of the main band at 150 cm–1, which explains the asymmetric line shape of the observed band. A hint of a band near 70 cm–1 is observed, which would agree with the cluster–Ar vibration predicted. However, because the FEL power is lowest here, a power correction may amplify background noise, and because we do not see the potential band return to the baseline, we cannot draw firm conclusions.
The final system shown is Cu10+. With the increase in cluster size, the number of absorbed Ar atoms decreases due to the dilution of local charge density. For this reason, structure determination of the Cu10+ cluster could be done by employing the photodissociation spectrum of Cu10+–Ar. The spectrum reflects the growing complexity of the system, showing a rich structure with many overlapping bands. Nevertheless, even on a first comparison with calculated spectra, we are able to assign it to structure 10A, a pentagonal bipyramid, now capped with three Cu atoms on neighboring faces, making it also interpretable as two interlocked pentagonal bipyramids that share four atoms. With the exception of a weaker band at 213 cm–1, all spectral features are matched. Whereas the 213 cm–1 band could be due to the presence of another isomer, we conclude that the spectrum is by and large dominated by structure 10A. Because of the increase in the system size, the relative influence of the Ar messenger atom on the spectrum is further reduced in comparison with the Cu7+ case: DFT calculations for the Ar-tagged system predict an almost identical spectrum as that for the bare cluster, with (apart from a cluster–Ar vibration at 70 cm–1) minimal modifications in band frequencies and only a two-fold intensity increase.
In this way, we recorded IRMPD spectra for Cun+ (n = 3–10) and unambiguously assigned each spectrum to a specific structure. Further experimental and calculated spectra, including spectra for Ar-complexed clusters, can be found in the SI. Beside the clusters discussed above, we find a triangular structure for Cu3+, a capped triangular bipyramid structure for Cu6+, and a pentagonal bipyramid structure capped with one and two Cu atoms for Cu8+ and Cu9+, respectively. It is now of interest to evaluate the stepwise evolution of the cluster structures found, as shown in Figure 2. Clearly, the two smallest clusters Cu3+ and Cu4+ are planar. However, from n = 5, all structures found are 3D. What is particularly interesting is that every structure found is formed by the addition of a Cu atom onto the structure of the previous cluster size. From Cu7+, the pentagonal motif dominates, forming a template onto which larger clusters form. We thus see no signs of the emergence of fcc-like structures, as one would expect from the bulk structure. All structures found here are in agreement with most of the previous theoretical studies,21−26 except for the structure of Cu5+ discussed above.
Figure 2.

Structures of the small cationic copper clusters (n = 3–10) inferred in this work.
When comparing the structures found with those reported from calculations for neutral and anionic copper clusters, it is remarkable that cationic structures undergo the 2D to 3D transformation at smaller sizes (n = 5 for cations and 6 and 7 for anions and neutrals, respectively).24−33 The same trend was shown for Agn+ (n = 6 versus n = 6/7 (anions/neutrals)) and Aun+(n = 8 versus 12/11),34 illustrating the importance of charge for the cluster geometry: The structure is a fine balance between interatomic stabilization and surface energies, and as a consequence, the loss of an electron leads to the weakening of the interatomic bonds, and the cluster needs to rearrange to reduce the surface energy.22
We can further compare the structures found for Cun+ with those for other coinage metals. Interestingly, for Agn+, the same structures for the small cluster sizes (n = 3–10) are found, except for n = 5.35 It is further noteworthy that the structure found for Cu4+ is the same as that used for computational studies on deposited Cu4+ clusters. Such calculations are thus consistent with the form the clusters had prior to deposition on the Al2O3 support.7
In conclusion, we established the structure of small cationic copper clusters based on a combination of IR photofragmentation spectroscopy of Cun+–Arm complexes and DFT calculations, which convincingly account for the influence of the Ar.
Acknowledgments
This work is part of the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) Materials for Sustainability program, funded under grant no. 739.017.008. We gratefully acknowledge NWO for the support of the FELIX Laboratory and NWO-EW for computational time on the Cartesius computer cluster (grant 16327). Z.J. acknowledges the Holland Research School for Molecular Chemistry for a fellowship.
Supporting Information Available
The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.jpclett.9b00539.
Experimental and computational details, IRMPD spectra of clusters with n = 3–10 and their comparison to different bare isomers, and the isomers of Ar-tagged complexes of the matching isomer (PDF)
Author Contributions
The manuscript was written through the contributions of all authors. All authors have given approval to the final version of the manuscript.
The authors declare no competing financial interest.
Supplementary Material
References
- Knickelbein M. B. Electric Dipole Polarizabilities of Copper Clusters. J. Chem. Phys. 2004, 120, 10450–10454. 10.1063/1.1712791. [DOI] [PubMed] [Google Scholar]
- Ichihashi M.; Corbett C. A.; Hanmura T.; Lisy J. M.; Kondow T. Size-Specific Reactions of Copper Cluster Ions with a Methanol Molecule. J. Phys. Chem. A 2005, 109, 7872–7880. 10.1021/jp0581577. [DOI] [PubMed] [Google Scholar]
- Haruta M. Chance and Necessity: My Encounter with Gold Catalysts. Angew. Chem., Int. Ed. 2014, 53, 52–56. 10.1002/anie.201305987. [DOI] [PubMed] [Google Scholar]
- Kattel S.; Ramírez P. J.; Chen J. G.; Rodriguez J. A.; Liu P. Active Sites for CO2 Hydrogenation to Methanol on Cu/ZnO Catalysts. Science 2017, 355, 1296–1299. 10.1126/science.aal3573. [DOI] [PubMed] [Google Scholar]
- Behrens M.; Studt F.; Kasatkin I.; Kühl S.; Hävecker M.; Abild-Pedersen F.; Zander S.; Girgsdies F.; Kurr P.; Kniep B.; et al. The Active Site of Methanol Synthesis over Cu/ZnO/Al2O3 Industrial Catalysts. Science 2012, 336, 893–898. 10.1126/science.1219831. [DOI] [PubMed] [Google Scholar]
- Natesakhawat S.; Lekse J. W.; Baltrus J. P.; Ohodnicki P. R.; Howard B. H.; Deng X.; Matranga C. Active Sites and Structure-Activity Relationships of Copper-Based Catalysts for Carbon Dioxide Hydrogenation to Methanol. ACS Catal. 2012, 2, 1667–1676. 10.1021/cs300008g. [DOI] [Google Scholar]
- Liu C.; Yang B.; Tyo E.; Seifert S.; DeBartolo J.; von Issendorff B.; Zapol P.; Vajda S.; Curtiss L. A. Carbon Dioxide Conversion to Methanol over Size-Selected Cu4 Clusters at Low Pressures. J. Am. Chem. Soc. 2015, 137, 8676–8679. 10.1021/jacs.5b03668. [DOI] [PubMed] [Google Scholar]
- Yang B.; Liu C.; Halder A.; Tyo E. C.; Martinson A. B. F.; Seifert S.; Zapol P.; Curtiss L. A.; Vajda S. Copper Cluster Size Effect in Methanol Synthesis from CO2. J. Phys. Chem. C 2017, 121, 10406–10412. 10.1021/acs.jpcc.7b01835. [DOI] [Google Scholar]
- Powers D. E.; Hansen S. G.; Geusic M. E.; Puiu A. C.; Hopkins J. B.; Dietz T. G.; Duncan M. A.; Langridge-Smith P. R. R.; Smalley R. E. Supersonic Metal Cluster Beams: Laser Photoionization Studies of Cu2. J. Phys. Chem. 1982, 86, 2556–2560. 10.1021/j100211a002. [DOI] [Google Scholar]
- Leopold D. G.; Ho J.; Lineberger W. C. Photoelectron Spectroscopy of Mass-Selected Metal Cluster Anions. I. Cun–,n = 1–10. J. Chem. Phys. 1987, 86, 1715–1726. 10.1063/1.452170. [DOI] [Google Scholar]
- Taylor K. J.; Pettiette-Hall C. L.; Cheshnovsky O.; Smalley R. E. Ultraviolet Photoelectron-Spectra of Coinage Metal-Clusters. J. Chem. Phys. 1992, 96, 3319–3329. 10.1063/1.461927. [DOI] [Google Scholar]
- Ho J.; Ervin K. M.; Lineberger W. C. Photoelectron Spectroscopy of Metal Cluster Anions: Cun–, Agn–, and Aun–. J. Chem. Phys. 1990, 93, 6987–7002. 10.1063/1.459475. [DOI] [Google Scholar]
- Cheshnovsky O.; Taylor K. J.; Conceicao J.; Smalley R. E. Ultraviolet Photoelectron Spectra of Mass-Selected Copper Clusters: Evolution of the 3d Band. Phys. Rev. Lett. 1990, 64, 1785–1788. 10.1103/PhysRevLett.64.1785. [DOI] [PubMed] [Google Scholar]
- Winter B. J.; Parks E. K.; Riley S. J. Copper Clusters: The Interplay between Electronic and Geometrical Structure. J. Chem. Phys. 1991, 94, 8618–8621. 10.1063/1.460046. [DOI] [Google Scholar]
- Jarrold M. F.; Creegan K. M. Optical Spectroscopy of Metal Clusters: Cu4+. Chem. Phys. Lett. 1990, 166, 116–122. 10.1016/0009-2614(90)87262-P. [DOI] [Google Scholar]
- Jarrold M. F.; Creegan K. M. Photodissociation of Copper Clusters, Cun+(n = 3–8), in the 370–710 nm Wavelength Region. Int. J. Mass Spectrom. Ion Processes 1990, 102, 161–181. 10.1016/0168-1176(90)80058-B. [DOI] [Google Scholar]
- Weis P. Structure Determination of Gaseous Metal and Semi-Metal Cluster Ions by Ion Mobility Spectrometry. Int. J. Mass Spectrom. 2005, 245, 1–13. 10.1016/j.ijms.2005.06.005. [DOI] [Google Scholar]
- Fielicke A.; Kirilyuk A.; Ratsch C.; Behler J.; Scheffler M.; Von Helden G.; Meijer G. Structure Determination of Isolated Metal Clusters via Far-Infrared Spectroscopy. Phys. Rev. Lett. 2004, 93, 023401 10.1103/PhysRevLett.93.023401. [DOI] [PubMed] [Google Scholar]
- Gruene P.; Rayner D. M.; Redlich B.; van der Meer A. F. G.; Lyon J. T.; Meijer G.; Fielicke A. Structures of Neutral Au7–, Au19–, and Au20– Clusters in the Gas Phase. Science 2008, 321, 674–676. 10.1126/science.1161166. [DOI] [PubMed] [Google Scholar]
- Oepts D.; van der Meer A. F. G.; Van Amersfoort P. W. The Free-Electron-Laser User Facility FELIX. Infrared Phys. Technol. 1995, 36, 297–308. 10.1016/1350-4495(94)00074-U. [DOI] [Google Scholar]
- Calaminici P.; Köster A. M.; Russo N.; Salahub D. R. A Density Functional Study of Small Copper Clusters: Cun (n < 5). J. Chem. Phys. 1996, 105, 9546. 10.1063/1.472939. [DOI] [Google Scholar]
- Chu X.; Xiang M.; Zeng Q.; Zhu W.; Yang M. Competition between Monomer and Dimer Fragmentation Pathways of Cationic Cun clusters of n = 2–20. J. Phys. B: At., Mol. Opt. Phys. 2011, 44, 205103–205105. 10.1088/0953-4075/44/20/205103. [DOI] [Google Scholar]
- Guzmán-Ramírez G.; Aguilera-Granja F.; Robles J. DFT and GEGA Genetic Algorithm Optimized Structures of Cunν (n = ±1,0,2; n = 3–13) Clusters. Eur. Phys. J. D 2010, 57, 49–60. 10.1140/epjd/e2010-00001-4. [DOI] [Google Scholar]
- Jug K.; Zimmermann B.; Calaminici P.; Köster A. M. Structure and Stability of Small Copper Clusters. J. Chem. Phys. 2002, 116, 4497–4507. 10.1063/1.1436465. [DOI] [Google Scholar]
- Florez E.; Tiznado W.; Mondragón F.; Fuentealba P. Theoretical Study of the Interaction of Molecular Oxygen with Copper Clusters. J. Phys. Chem. A 2005, 109, 7815–7821. 10.1021/jp052245+. [DOI] [PubMed] [Google Scholar]
- Chaves A. S.; Rondina G. G.; Piotrowski M. J.; Tereshchuk P.; Da Silva J. L. F. The Role of Charge States in the Atomic Structure of Cun and Ptn (n = 2–14 Atoms) Clusters: A DFT Investigation. J. Phys. Chem. A 2014, 118, 10813–10821. 10.1021/jp508220h. [DOI] [PubMed] [Google Scholar]
- Aakeby H.; Panas I.; Pettersson L. G. M.; Siegbahn P.; Wahlgren U. Electronic and Geometric Structure of the Cun Cluster Anions (n ≤ 10). J. Phys. Chem. 1990, 94, 5471–5477. 10.1021/j100377a010. [DOI] [Google Scholar]
- Padilla-Campos L. Theoretical Investigation of the Adsorption of Oxygen on Small Copper Clusters. J. Mol. Struct.: THEOCHEM 2007, 815, 63–69. 10.1016/j.theochem.2007.03.018. [DOI] [Google Scholar]
- Poater A.; Duran M.; Jaque P.; Toro-Labbé A.; Solà M. Molecular Structure and Bonding of Copper Cluster Monocarbonyls CunCO (n = 1–9). J. Phys. Chem. B 2006, 110, 6526–6536. 10.1021/jp054690a. [DOI] [PubMed] [Google Scholar]
- Jaque P.; Toro-Labbé A. Characterization of Copper Clusters through the Use of Density Functional Theory Reactivity Descriptors. J. Chem. Phys. 2002, 117, 3208–3218. 10.1063/1.1493178. [DOI] [Google Scholar]
- Guvelioglu G. H.; Ma P.; He X.; Forrey R. C.; Cheng H. Evolution of Small Copper Clusters and Dissociative Chemisorption of Hydrogen. Phys. Rev. Lett. 2005, 94, 3–6. 10.1103/PhysRevLett.94.026103. [DOI] [PubMed] [Google Scholar]
- Jackson K. A. First-Principles Study of the Structural and Electronic Properties of Cu Clusters. Phys. Rev. B: Condens. Matter Mater. Phys. 1993, 47, 9715–9722. 10.1103/PhysRevB.47.9715. [DOI] [PubMed] [Google Scholar]
- Fernández E.; Boronat M.; Corma A. Trends in the Reactivity of Molecular O2 with Copper Clusters: Influence of Size and Shape. J. Phys. Chem. C 2015, 119, 19832–19846. 10.1021/acs.jpcc.5b05023. [DOI] [Google Scholar]
- Fernández E. M.; Soler J. M.; Garzón I. L.; Balbás L. C. Trends in the Structure and Bonding of Noble Metal Clusters. Phys. Rev. B: Condens. Matter Mater. Phys. 2004, 70, 165403–165416. 10.1103/PhysRevB.70.165403. [DOI] [Google Scholar]
- van der Tol J.; Jia D.; Li Y.; Chernyy V.; Bakker J. M.; Nguyen M. T.; Lievens P.; Janssens E. Structural Assignment of Small Cationic Silver Clusters by Far-Infrared Spectroscopy and DFT Calculations. Phys. Chem. Chem. Phys. 2017, 19, 19360–19368. 10.1039/C7CP03335D. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

