Abstract

In order to obtain the structural and electronic properties of pristine copper clusters and Cu13–SF6, Cu43–SF6, Cu55–SF6, Cu13–2SF6, Cu43–2SF6, and Cu55–2SF6 systems, DFT calculations were carried out. For Cu13–mSF6, its surface suffers a drastic deformation, and Cu43–mSF6 at its outer surface reveals strong interaction for the first chemical molecule; when the second molecule is interacting, these outer surfaces are not severely affected. These two cases degraded fully the first SF6 molecule; however the second molecule is bonded to the latter systems and for Cu55–mSF6 (m = 1 and 2) a structural transformation from SF6 →SF4 appears as well as inner and outer shells that display slight deformations. The electronic gaps do not exhibit drastic changes after adsorption of mSF6 molecules, and the magnetic moment remains without alterations. The whole system shows thermal and vibrational stability. In addition, for Cu13–mSF6 the values of the optical gap and intensity of the optical exhibit changes with respect to the pristine case (Cu13), and the rest of the systems do not exhibit major oscillations. These icosahedral copper clusters emerge as a good option to degrade mSF6 molecules.
1. Introduction
SF6 (sulfur hexafluoride) is a greenhouse gas that is widely used in industrial processes as an insulating medium for electrical gas-insulated equipment,1 and due to its high chemical stability, the residence time in the atmosphere could be 3200 years.2 Several efforts have been devoted to finding alternatives to reduce or sense this kind of emissions.3 However, despite these attempts, it is desirable to find new alternatives to decrease this emission of greenhouse gas. Therefore, it is very important to sense, adsorb, or degrade this SF6 molecule toward minor subproducts.4−7 The sensing mechanism is governed on the change of electrical resistance of the so-prepared device caused by the interaction between the target gas and the nanomaterials;8,9 thus, Iwabuchi et al.10 adopted semiconducting ZnO thin films to realize the detection of several gas species successfully. 2D structures such as graphene and phosphorene have been studied to adsorb this SF6 molecule, and a physisorption effect was found.11−13 It should be mentioned that MoS2 and phosphorene have recently gained immense interest for gas sensing applications, which have also been theoretically reported.14,15 Despite the fact that single-walled and multiwalled CNT as well as graphene were all proposed for sensing SF6-decomposed species,16−18 the bonding governed by weak van der Waals interactions among these chemical species is not suitable for sensing molecules. However, this low interaction was overcome by means of embedding or doping impurity atoms such as transition metals19−24 and nonmetals,25 principally. On the other hand, graphene/metal oxide composites have been raised as advanced materials to capture diverse harmful gases such as HgCl2 and CO2. Mananghaya et al.26 have proposed graphene/CaO nanocomposite to understand the effects of temperature on the adsorption ability of the above chemical complexes by means of DFT/B3LYP calculations. Thus, porphyrin is a novel nanomaterial that exhibits covalent organic frameworks, and this has been used to adsorb greenhouse gases such as CO, CO2, and CH4 using DFT calculations by Suresh et al. successfully.27 Doped fullerenes with an externally oriented electric field have used for this goal. The doping site can control the structural, electronic, and energetic characteristics of the C19Si system, and as consequence, to adsorb these harmful gases, the DFT calculations were performed with different hybrid functionals.28 Nevertheless, metallic clusters have still not been considered to adsorb this kind of molecule, but due to their unique physical and chemical properties these are a good option, such as copper clusters. On the other hand, metallic clusters have shown good properties as sensors and for storage and degradation of some harmful gases.29−31 Several studies based on DFT and Monte Carlo dynamics have been performed to find the structural and electronic properties of copper clusters.32−34 All of them exhibit icosahedral geometry as the ground state; however, a transition from icosahedral → decahedral was found by Kabir et al. for the Cu43 cluster.32 The high chemical reactivity of these metallic clusters makes them potential vehicles for degradation/adsorption of the SF6 molecule. Previously, a theoretical study by means of molecular dynamics simulation revealed the critical temperature at which SF6 is degraded to derive complexes such as SF2, SF3, and SF4, respectively.35 This last study is analyzed because it is relevant to know if some of these subproducts are found in the present work. Therefore, it is necessary to perform a deep study about chemical interactions among icosahedral copper clusters, such as Cu13, Cu43, and Cu55, and SF6 molecules to follow the structural and electronic changes versus cluster size. This work is organized in the following way: section 2, parameters of calculation are detailed, section 3, pristine and SF6 bonded clusters are discussed, and section 4, some conclusions are drawn.
2. Computational Methodology
All systems analyzed in this work were performed using the density functional theory (DFT)36 approach as implemented in the DMol3 software,37,38 for both cases. The generalized gradient approximation has been chosen to describe the exchange–correlation interaction employing the Perdew–Burke–Ernzerhof (PBE) expression.39 To account for van der Waals forces we used a full optimization of the whole system with the Tkatchenko–Scheffler (TS) scheme due to its ability to describe large long range interactions.40 The use of this correction reduces the over/underestimation of adsorption energy values calculated for these chemical species onto titanium dioxide clusters. We have selected a basis set composed of a double numerical basis (4s and 3d) with polarized function (4p), and an all-electron calculation has been considered. The convergence criterion of optimization was set to 1 × 10–5 eV Å–1 for the energy gradient and 5 × 10–4 Å for the atomic displacements. The charge density is converged up to 1 × 10–6, which allows a total energy convergence of 1 × 10–5 eV. In the generation of the numerical basis sets, a global orbital cutoff of 5.2 Å was used. All calculations were carried out without spin restrictions, which allow for establishing the lowest energy geometries. The condition of noncomplex frequencies was established as the stability criterion for the studied systems. The electronic gaps (Eg) were evaluated for the lowest energy structures from their corresponding energy differences between the HOMO and LUMO. It is well-known that values of Eg are underestimated by using DFT calculations; however, in Table 1 our results are compared with other works, and they agree. The optical properties were performed by the PBE0 hybrid functional,41 all of the systems in the ground state were placed in a box of 30 × 30 × 30 Å to avoid some possible interaction between these systems, and then one energy point was calculated to obtain the absorption spectra and, from them, the values of optics gap. In order to evaluate the thermal stability of the whole set of systems studied, ab initio molecular dynamics were performed at 300 K with steps of 1 fs during 1 ns to obtain their potential energy surface (PES) as well as to follow any possible structural change due to exposition at room temperature. The PES plots were obtained at the PBE functional/double numerical plus d-functions, this theory level was chosen due to the heavy computational cost; however, the results obtained are considered high enough quality to describe the thermal stability of these systems analyzed. The binding energy is calculated as Eb/atom = (Xn – nX)/n where Xn is the total energy of the system (Cun or SF6), X is the sum of the energies of individual atoms, and “n” is the number of atoms for pristine cases. The adsorption energy was evaluated by means of the following equation
where E(Cu)n–SF6, E(Cu)n, and E(SF6) are the total energy of mSF6 molecules attached to the metallic cluster, metallic cluster bare, and mSF6 molecules isolated, respectively.
Table 1. Binding Energy Per Atom (Eb/atom) and Electronic Gap Energy (Eg) (eV)a.
|
Eb/atom |
Eg |
ABL |
l1 | l2 | |||||
|---|---|---|---|---|---|---|---|---|---|
| S | a | b | c | a | b | a | d | a | a |
| SF6 | 3.28 | 6.01 | 3.23 | ||||||
| Cu13 | 2.15 | 2.43 | 2.30 | 0.10 | 0.15 | 2.54 | 2.575 | 4.89 | |
| Cu43 | 2.61 | 2.97 | 2.85 | 0.04 | 0.25 | 2.58 | 4.93 | 7.14 | |
| Cu55 | 2.70 | 3.09 | 2.95 | 0.07 | 0.05 | 2.59 | 4.94 | 9.72 | |
3. Results and Discussion
3.1. Structural, Electronic, and Magnetic Properties of Cu13, Cu43, and Cu55 Metallic Clusters and SF6 Complex
The SF6 exhibits symmetry like the 6-fold coordinated molecule (Oh); thus, the sulfur atom is located at the center and it is surrounded by six atoms of fluorine, where four atoms form a regular square in a horizontal way and the other two atoms are perpendicular to this plane (see Figure 1a). The value of S–F bond is 1.62 Å, and this is the same for the six bonds associated to this chemical specie. The angle formed by F–S–F is 90° for all cases; therefore, this is a very symmetric molecule and it has been proved to be stable at room temperature. The binding energy per atom (Eb/atom) confirms the above statement because this value is 3.28 eV. The l1 distance value is 3.23 Å, indicating that l1 for SF6 is shorter than the whole set of metallic clusters considered in this work; thus, it is possible that a strong interaction exists among these systems.
Figure 1.

Models (M) for (a) SF6, (b) Cu13, (c) Cu43, and (d) Cu55 are displayed. The frontier orbitals HOMO (H) and LUMO (L) as well as spin density (S) are shown for these systems. The l1 and 12 labels mean the distance from end to end of core and shell of these metallic clusters, respectively. The iso-surfaces were plotted at 0.03 eV/Å3.
Thus, because of its electronic properties, the HOMO iso-surface for SF6 is located on four atoms of fluorine with σ bonds whereas LUMO displays π*−π* stacking on six of its fluorines as well as around the sulfur atom; thus, these effects generate an electronic behavior like insulator with a electronic gap value of 6.01 eV. This information is corroborated by means of partial density of states (PDOS) plot depicted in Figure 1S (Supporting Information) because of the smooth contribution of “s” electrons, and practically all “p” electrons show major participation for the SF6 molecule. The ground state is found at M = 1; therefore, a magnetic behavior is not displayed. On the other hand, the Cu55 cluster is a regular icosahedron (Ih symmetry), and this is formed by two icosahedrons, one of them of 13 atoms and the other one of 42 atoms, and they work as the “core” and “shell”, respectively. The Cu43 cluster is an icosahedron too, and it is formed by one icosahedron of 13 atom (core) and 30 atoms around of it (shell) to give the final geometry. The Cu13 cluster shows icosahedral disposition, as displayed in Figure 1b, c, and d, respectively. On the other hand, the values of the Eb/atom exhibit an increasing tendency for Cun (n = 13, 43, and 55 atoms); hence, there is an energetic difference (ΔE) of 0.46 and 0.09 eV between n = 13 and 43 and n = 43 and 55, respectively. This structural fact indicates high stability and convergence toward the bulk regime for these metallic clusters. The value distance l1 (inner shell) for the three cases practically remains the same; however, those values associated with the outer shell (l2) suffer an increase of about 2.58 Å between n = 43 and 55 systems. This result could improve the chemical interaction with SF6 molecule. Thus, focusing on their electronic properties, the HOMO electronic distribution for the Cu13 cluster is shown on the bonds of the outer shell and LUMO is concentered like one ring and on the atoms at top and down; however, for Cu43 and Cu55, HOMO is located on the outer shell and with minor participation on the core, whereas LUMO is distributed in similar way in both cases, as shown in Figure 1b–d. The values of Eg reveal that these pristine copper clusters possess an electronic behavior like metal, and this tendency increases with size. The energetic minimum for these three copper clusters is found at M = 2; furthermore, they have 1 μB associated to each one. The spin density for Cu13 is located at the center; however, for Cu43 this is distributed on the atoms of the central icosahedron (core) and for Cu55 shows the same behavior but 12 atoms of outer shell exhibit this distribution as well. Thus, partially summarizing, from Figure 1S, for n = 13 and 43, there are is considerable participation by “s” and “p” electrons; however, for n = 55, this contribution is reduced drastically and “d” electrons government the electronic behavior of this metallic cluster. Thereby, it is expected that clusters with n = 13 and 43 are bonded more tightly with this chemical species than for n = 55. The latter fact is analyzed and discussed in the next section.
3.2. Structural, Vibrational, and Thermal Properties of the Cun–mSF6 (n = 13, 43, and 55) (m = 1, 2) Systems
Due to the high symmetry of metallic icosahedral clusters, there are many equivalent adsorption sites for the SF6 complex onto Cu13, Cu43, and Cu55 systems; in this work, one triangular face was chosen as the initial geometry and its opposite end for m = 1, 2, respectively. Thus, for the Cu13–SF6 system, at the top site two atoms of fluorine are bonded to the metallic cluster, and at the bottom site, three atoms of fluorine are bonded with copper atoms in the sequence Cu–F–Cu and the sulfur atom is bonded to last fluorine atom, as depicted in Figure 2a. This interaction generates the degradation of the SF6 molecule, whereas the metallic cluster is deformed; as a result, a chemisorption effect is shown according to the adsorption value obtained (−9.89 eV). However, for the Cu13–2SF6 system, the first SF6 molecule remains without drastic structural changes and the second one is degraded to two Cu–F–Cu bonds plus one subproduct as SF4 bonded to one copper atom, as depicted in Figure 3a.
Figure 2.

Models (M) for (a) Cu13–SF6, (b), Cu43–SF6, and (c) Cu55–SF6 are displayed. The frontier orbitals HOMO (H) and LUMO (L) as well as spin density (S) are shown for these systems. The iso-surfaces were plotted at 0.03 eV/Å3.
Figure 3.

Models (M) for (a) Cu13–2SF6, (b) Cu43–2SF6, and (c) Cu55–2SF6 are displayed. The frontier orbitals HOMO (H) and LUMO (L) as well as spin density (S) are shown for these systems. The iso-surfaces were plotted at 0.03 eV/Å3.
This subproduct agrees with the report of by Liu et al.32 and is recurrent in this investigation. This interaction smoothly decreases the value of adsorption energy (−9.72 eV). Despite of this minor variation, it is considered a strong adsorption between these chemical species and the bare cluster (Cu13). For the Cu43–SF6 system, the six fluorine atoms exhibit bonds like Cu–F–Cu, and the sulfur atom is bonded on one pentagonal face of the outer shell of the metallic cluster. The core (l1) does not participate in this very strong chemical interaction with a value of −11.28 eV (chemisorption), such as depicted in Figure 2b. On the other hand, for the Cu55–SF6 system after the full geometric optimization, two atoms of fluorine are bonded to the Cu55 cluster and SF6 suffers a chemical transition toward the SF4 subproduct; thus, this chemical complex is degraded due to this strong interaction (see Figure 2c). In Figure 2c we show in detail this triangular face (formed with six copper atoms) that works as an adsorption site; beside it is shown the SF6 molecule degraded for better visualization. This triangular face suffers a geometric distortion because two bonds are broken and two sides are stretched up around 7% with respect to the pristine cluster. The values of Cu–F bond length range from 2.08 to 2.13 Å; furthermore, this effect is associated with good stability.
Thus, for Cu43–2SF6 and Cu55–2SF6 systems the second chemical species exhibited similar structural behavior with respect to Cu13–2SF6; see Figure 3b and c, respectively. In particular, the second one has two subproducts that are geometrically opposite as mirrors (Figure 3c); thus, the adsorption values generated for Cu43–2SF6 and Cu55–2SF6 are −17.9 and −12.86 eV, respectively. From Figure 2S, it can be inferred that for n = 13 and m = 1 and 2 the values of adsorption energy change smoothly; nevertheless, for n ≥ 43 these values increases almost two times for m = 2 with respect to m = 1. This tight bonding is favored at n = 43; however, n = 55 can be synthesized with more abundance29 than n = 43. On the other hand, the vibrational modes are all real without imaginary contribution; hence, these three systems are stable, as shown in Figure 4. Thus, atoms of fluorine exhibit stretching modes from 316.1 up to 471.56 cm–1, whereas at 511.02, the most intensive peak, a similar mode is observed but this is caused by the F–S bond for Cu13–SF6. Stretching modes are associated with fluorine atoms at 264.83 cm–1, from 329.52 up to 362.83 cm–1, and a combination of stretching and blending modes are generated by fluorine atoms as well as from 425 up to 442.37 cm–1; there are stretching modes that come from fluorine plus sulfur atoms, respectively for Cu43–SF6. The Cu55–SF6 reveals a mixture of blending and stretching modes generated by fluorine atoms from 284.34 up to 375.61 cm–1, whereas at 441.47 cm–1 a blending mode associated with the SF4 subproduct is located and from 677.78 up to 746.91 cm–1 stretching modes are displayed for the last one. Nevertheless, for Cu13–2SF6, from 259.00 up to 352.78 cm–1 there are blending and stretching modes generated by Cu–F–Cu bonds and the SF4 subproduct as well as stretching modes at the opposite zone mentioned above from 416.15 up to 439.89 cm–1. A stretching mode is localized from 699.36 up to 785.47; this is generated by the SF4 subproduct. Thus, the Cu43–SF6 system exhibits stretching and wagging modes from 347.61 up to 405.60 cm–1 and stretching plus bending modes from 433.95 up to 751.65 cm–1 at the zone of the SF4 subproduct. Because Cu55–2SF6 displays similar adsorption compared to that with 3m = 1, from 286.00 up to 326.49 cm–1 stretching and blending modes are associated with both SF4 subproducts, besides from 379.61 up to 757.22 cm–1 stretching for the latter ones (see Figure 4).
Figure 4.
Vibrational spectra for the whole systems considered in this work are depicted, respectively.
In this sense, AIMD calculations at 300 K indicate thermal stability for the whole set of these systems; this is corroborated by means of EPS (energy potential surface) profiles, due to the maxim energetic difference values oscillate within the range of 0.01, 0.02, and 0.03 eV, for Cu13–SF6, Cu43–SF6, and Cu55–SF6 systems, respectively (see Figure 5).
Figure 5.

PES profiles for the whole set of systems considered in this work are depicted, from 0 to 1.5 ps.
From the above plots, it can be elucidated that these values fall in the range 0.03, 0.02, and 0.02 eV, respectively, for Cu13–2SF6, Cu43–2SF6, and Cu55–2SF6 systems. Thus, all of them are considered within low variation at room temperature and with good stability. In order to appreciate these structural variations at 300 K, the snapshots of Cun–mSF6 (n = 13, 43, and 55) (m = 1, 2) systems are shown in Figures 6 and 7, respectively.
Figure 6.
Snapshots of molecular dynamics trajectories of (a) Cu13–SF6, (b) Cu43–SF6, and (c) Cu55–SF6 systems, respectively, at longer time scales (T = 300 K, with a time step of 1 fs).
Figure 7.
Snapshots of molecular dynamics trajectories of (a) Cu13–2SF6, (b) Cu43–2SF6, and (c) Cu55–2SF6 systems, respectively, at longer time scales (T = 300 K, with a time step of 1 fs).
In each one, the Cu–F bonds are broken and then they are bonded again, and some Cu–Cu bonds suffer a similar effect, either in the inner (l1) or outer (l2) shell, for n = 43 and 55, both at m = 1 and 2. However, in the whole set of systems analyzed, the structures return to theirinitial configuration due to small energetic variations at this temperature.
3.3. Electronic, Magnetic, And Optical Properties of the Cun–mSF6 (n = 13, 43, and 55) (m = 1,2) Systems
In this section, we explain the strong adsorption by means of electronic distribution of frontier orbitals (HOMO and LUMO), electronic transference (Q), partial density of states (PDOS), and shifts on optical spectra and dielectric function. Thus, for Cu13–SF6 its HOMO and LUMO electronic iso-surfaces are displayed on the part of no interaction of metallic clusters and on fluorine and copper atoms, principally (see Figure 2). The value of the electronic gap is increased to two times; however, it almost does not suffer changes (0.19 eV) with respect to the pristine case, and these values are displayed in Table 2.
Table 2. Values of Adsorption Energy (Eads), Electronic Gap (Eg), and Optic Gap (Eo) for systems listed are depicteda.
| system | Cu13 | Cu13–SF6 | Cu13–2SF6 | Cu43 | Cu43–SF6 | Cu43–2SF6 | Cu55 | Cu55–SF6 | Cu55–2SF6 |
|---|---|---|---|---|---|---|---|---|---|
| Eg | 0.10 | 0.19 | 0.06 | 0.04 | 0.03 | 0.25 | 0.07 | 0.06 | 0.15 |
| Eads | –9.89 | –9.72 | –11.18 | –17.90 | –6.84 | –12.86 | |||
| Eo | 0.80 | 0.30 | 0.95 | 0.05 | 0.01 | 0.06 | 0.01 | 0.01 | 0.01 |
The unit used is eV for all values.
The spin density is located on the copper atoms and slightly on some fluorine atoms due to this strong chemical reaction obtained. Thus, Cu43–SF6 with its electronic distribution of HOMO and LUMO lies on copper atoms at no interaction zone, with smooth participation of fluorine atoms. The value of electronic gap remains with nearly of 0.03 eV and electronic behavior like-metallic still government this system (see Table 2). The spin density is located on copper atoms either on the outer or inner shell, respectively (see Figure 2d).
For Cu55–2SF6 the HOMO and LUMO iso-surfaces are located opposite to the adsorption site, and they are concentered on the bonds formed at outer shell (l2) with major participation of the “d” electrons; these are displayed in Figure 2c. The electronic behavior remains metallic (0.06 eV) as result of this chemical interaction.
Similar electronic behavior is found for m = 2. For Cu13–2SF6 its HOMO and LUMO electronic iso-surfaces are concentered at the central part of this system and around of S–F–3F bonds as well as the zone of the SF4 subproduct; these are distributed on two Cu–F–Cu bonds, as shown in Figure 3b. The spin density is located on copper atoms bonded to fluorine atoms at both ends. On the other hand, the HOMO and LUMO electronic distributions are located at both adsorption zones and over the inner shell of metallic cluster and spin density too. These homogeneous iso-surfaces explain the good stability and strong adsorption associated to Cu43–2SF6. Otherwise, Cu55–2SF6 their HOMO and LUMO are concentered at outer shell of metallic cluster and their spin density exhibits similar effect, as depicted in Figure 3c. Their electronic gap values do not exhibit drastic changes, and moreover, these systems retain electronic behavior like metallic (see Table 2). These features are corroborated by PDOS plots in Figure 8; the contributions of “p” electrons that come from SF6 molecule are decreasing as size cluster increases in both cases (m = 1 and 2), whereas “d” electrons do not suffer drastically changes (Cu13, Cu43, Cu55). These last ones lead to this electronic behavior for the systems studied in this work, and despite strong adsorption and structural distortions, the high chemical reactive of the metallic cluster prevails, hence allowing electronic behavior like-metal to remain after this strong interaction. From Table 1S of the Supporting Information it can be elucidated that the electronic charge (Q) migrates from copper atoms toward fluorine atoms among metallic clusters and SF6 molecule, at an adsorption site, for Cun–mSF6 (n = 13, 43, and 55) (m = 1,2) systems. In Figure 9, the atoms at the adsorption site are labeled with respect to Table 1S. This effect is due to fluorine atoms possessing the highest electronic negativity, and the copper atoms with the [Ar]3d104s1 electronic configuration tend to allow their electrons to form some kind of bond or tight interaction, as mentioned above. This fact leads to larger values of adsorption energy for these systems. In order to illustrate the way of optical properties change after adsorption process, the absorption spectra for Cun–mSF6 (n = 13, 43, and 55) (m = 1, 2) systems are calculated and depicted in Figure 10. From there, the values of optical gap can be obtained as 0.8, 0.3, and 0.95 eV for Cu13, Cu13–SF6, and Cu13–2SF6, respectively. For n = 43 and 53 with m = 1 and 2, these values are around 0 eV, which are agrees with those of electronic gap values, as shown in Table 2.
Figure 8.
PDOS plots of each one of the systems considered in this work.
Figure 9.

Models of (a) Cu13–SF6, (b) Cu43–SF6, (c) Cu55–SF6, (d) Cu13-2SF6, (e) Cu43-2SF6, and (f) Cu55–SF6 systems at the adsorption site are depicted. The atoms labeled are those that participate in adsorption, and the amount of the charge is listed in Table 1S (Supporting Information).
Figure 10.
Absorption spectra of systems. (Right) Spectra depicted from 0 to 1.0 and 2.4 eV, respectively, for better appreciation.
This shift of these values is associated with the strong adsorption of the SF6 molecule on the metallic cluster as well as the participation of 2p electrons from fluorine atoms generate this important optical effect. Thus, the intensity of absorption spectrum for Cu13–SF6 is reduced by 4.5 times with respect to the pristine case; hence, the capacity of adsorption is reduced due to interaction with SF6 molecule. This effect is more located for n = 13 than the rest of the metallic clusters.
In this sense, the dielectric function of the pristine cluster and cluster bonded to the SF6 molecule is affected due to the adsorption process, as depicted in Figure 11. Once more, the contribution of 2p electrons that comes from fluorine atoms leads to this optical process. The real part of the dielectric function at the frequency of 0 eV corresponds to the static dielectric constant; this value decreases from 2.2 eV (Cu13) up to 1.2 eV (Cu13–SF6) and increases up to 8.2 eV for Cu13–2SF6. Similar transitions are found for Cu43, Cu13–SF6, and Cu13–2SF6 with values of 7.5, 9.1, and 6.2 eV, respectively as well as for Cu55, Cu55–SF6 and Cu55–2SF6 with values of 8.2, 5.2, and 8.3 eV, respectively. Moreover, the adsorption of SF6 molecules on copper clusters is responsible of this important shift, as well. Therefore, from these two optical techniques can be observed when pristine metallic clusters have interacted with SF6 molecules in order to help experimentally recognize if the adsorption process has been performed successfully.
Figure 11.

Plots of the dielectric function for each system are depicted, respectively.
4. Conclusions
In order to perform the adsorption of mSF6 molecules (m = 1 and 2) onto pristine copper clusters (Cun, n = 13, 43, and 55), DFT calculations were used for full geometrical optimization. There is a strong interaction among SF6 molecules and Cu13, Cu43, and Cu55 clusters; as a result, the outer surface (second shell) is drastically deformed. Hence, the surfaces in touch are strongly distorted for n ≤ 43 when the first molecule is bonded, and for the second they are partially degraded. However, for n = 55 the outer surface remains almost without variation, and it is found a structural transition from SF6 → SF4 in agreement with previously reported8 for m = 1 and 2. The electronic distribution of HOMO and LUMO is located on metallic clusters and some fluorine atoms (Cu13–SF6 and Cu13–2SF6), and the charge transference is from copper atoms toward fluorine atoms for the whole set of systems analyzed. According to these effects, the electronic behavior like-metallic remains. The spin density is displayed in an asymmetric way on copper atoms and some fluorine atoms; for n ≤ 43 and 55 this is concentered on the copper atoms, all of them with respect to pristine cases. The PES plots indicate great thermal stability at room temperature (300 K) in each one of the cases studied. The 2p electrons that come from the fluorine atoms of the SF6 complex lead to the decreasing tendency of intensity of the optical spectrum and gap as well as affect the dielectric function, respectively. These optical effects can be used on the experimental side to follow the adsorption process of these molecules. Thus, these copper clusters can be used to degrade them; nevertheless, for n ≤ 43 their surface area decreases because only part of them are free to interact with other molecules, while for n = 55 this is not distorted and it is a good candidate to be bonded with more molecules.
Acknowledgments
M.S.V. and A.B.H. acknowledge the computational resources provided by CNS-Ipicyt, Mexico, and their VIEP-BUAP projects, respectively. The authors gratefully acknowledge the computational resources, technical expertise, and support provided by the Laboratorio Nacional de Supercómputo del Sureste de México and the CONACYT network of national laboratories. This research was supported by the high-performance computing system of PIDi (SCC-PIDi FONDEQUIP-EQM180180).
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.2c04020.
Plots of PDOS for pristine systems, adsorption energy (Eads) versus size (n) of metallic clusters, and the table of distribution of Mulliken charges at the adsorption site according to Figure 4 for Cun–mSF6 clusters (n = 13, 43, and 55) (m = 1 and 2) (PDF)
The authors declare no competing financial interest.
Supplementary Material
References
- Biasse J.; Otegui E.; Keiser B. Benefits of proper SF6 handling to reduce SF6 emissions for sustainable electricity transmission and distribution. Proc. CICED 2010, 1–6. [Google Scholar]
- Reinman S. Intergovernmental panel on climate change (IPCC). Encyclopedia Energy Natural Resource Environ. Econ. 2012, 26, 41–42. [Google Scholar]
- Lei Z.; Zeng F.; Tang J.; Wan Z.; Zhang M.; Dai L. Conformation Analysis of Environmentally Friendly Insulating Gas C5-PFK. IEEE Access. 2019, 7, 92724–92731. 10.1109/ACCESS.2019.2927874. [DOI] [Google Scholar]
- Mazzanti G.; Stomeo G.; Mancini S. State of the art in insulation of gas insulated substations: main issues, achievements, and trends. IEEE Electr. Insul. Mag. 2016, 32, 18–31. 10.1109/MEI.2016.7552373. [DOI] [Google Scholar]
- Chu F. SF6 Decomposition in Gas-Insulated Equipment. IEEE Trans. Dielectr. Electr. Insul. 1986, 21, 693–725. 10.1109/TEI.1986.348921. [DOI] [Google Scholar]
- Chu F.; Massey R.. Thermal Decomposition of SF6 and SF6-Air Mixtures in Substation Environments. In Gaseous Dielectrics III. Christophorou L. G.,, Ed.; Pergamon, 2013; pp 410–419. [Google Scholar]
- Cui H.; Zhang X.; Zhang J.; Zhang Y. Nanomaterials-based gas sensors of SF6 decomposed species for evaluating the operation status of high-voltage insulation devices. High Voltage. 2019, 4, 242–258. 10.1049/hve.2019.0130. [DOI] [Google Scholar]
- Donarelli M.; Prezioso S.; Perrozzi F.; Bisti F.; Nardone M.; Giancaterini L.; Cantalini C.; Ottaviano L. Response to NO2 and other gases of resistive chemically exfoliated MoS2-based gas sensors. Sens. Actuators B, Chem. 2015, 207, 602–613. 10.1016/j.snb.2014.10.099. [DOI] [Google Scholar]
- Zhang T.; Mubeen S.; Myung N.; Deshusses M. Recent progress in carbon nanotube-based gas sensors. Nanotechnology. 2008, 19, 332001. 10.1088/0957-4484/19/33/332001. [DOI] [PubMed] [Google Scholar]
- Iwabuchi H.; Matsuoka S.; Kumada A.; Hidaka K.; Hoshina Y.; Yasuoka T.; Takei M. Influence of tiny metal particles on charge accumulation phenomena of GIS model spacer in high-pressure SF6 gas. IEEE Trans. Dielectr. Electr. Insul. 2013, 20, 1895–1901. 10.1109/TDEI.2013.6633722. [DOI] [Google Scholar]
- Novoselov K.; Geim A.; Morozov S.; Jiangy D.; Zhangs Y.; Dubonosi S.; Grigorieva I.; Firsov A. Electric field effect in atomically thin carbon films. Science 2004, 306, 666–669. 10.1126/science.1102896. [DOI] [PubMed] [Google Scholar]
- Gautam M.; Jayatissa A. Graphene based field effect transistor for the detection of ammonia. J. Appl. Phys. 2012, 112, 064304. 10.1063/1.4752272. [DOI] [Google Scholar]
- Eisele I.; Doll T.; Burgmair M. Low power gas detection with FET sensors. Sens. Actuators B, Chem. 2001, 78, 19–25. 10.1016/S0925-4005(01)00786-9. [DOI] [Google Scholar]
- Ray S. First-principles study of MoS2, phosphorene and graphene based single electron transistor for gas sensing applications. Sens. Actuators B, Chem. 2016, 222, 492–498. 10.1016/j.snb.2015.08.039. [DOI] [Google Scholar]
- Javaid M.; Drumm D.; Russo S.; Greentree A. Surface-gate-defined single-electron transistor in a MoS2 bilayer. Nanotechnology 2017, 28, 125203. 10.1088/1361-6528/aa5ce0. [DOI] [PubMed] [Google Scholar]
- Shokuhi Rad A.; Esfahanian M.; Maleki S.; Gharati G. Application of carbon nanostructures toward SO2 and SO3 adsorption: a comparison between pristine graphene and N-doped graphene by DFT calculations. J. Sulfur Chem. 2016, 37, 176–188. 10.1080/17415993.2015.1116536. [DOI] [Google Scholar]
- Jung S.; Choi J.; Kim Y.; Lee J.; Chang Y.; Baik S. Single-walled carbon nanotube sensors for monitoring partial discharge induced dissociation of SF6. J. Nanosci. Nanotechnol. 2009, 9, 7336–7339. 10.1166/jnn.2009.1614. [DOI] [PubMed] [Google Scholar]
- Zhang X.; Liu W.; Tang J.; Xiao P. Study on PD detection in SF6 using multi-wall carbon nanotube films sensor. IEEE Trans. Dielectr. Electr. Insul. 2010, 17, 833–838. 10.1109/TDEI.2010.5492256. [DOI] [Google Scholar]
- Zhang X.; Yu L.; Gui Y.; Hu W. First-principles study of SF6 decomposed gas adsorbed on Au-decorated graphene. Appl. Surf. Sci. 2016, 367, 259–269. 10.1016/j.apsusc.2016.01.168. [DOI] [Google Scholar]
- Zhang X.; Chen D.; Cui H.; Dong X.; Xiao S.; Tang J. Understanding of SF6 decompositions adsorbed on cobalt-doped SWCNT: a DFT study. Appl. Surf. Sci. 2017, 420, 371–382. 10.1016/j.apsusc.2017.05.163. [DOI] [Google Scholar]
- Zhang X.; Cui H.; Dong X.; Chen D.; Tang J. Adsorption performance of Rh decorated SWCNT upon SF6 decomposed components based on DFT method. Appl. Surf. Sci. 2017, 420, 825–832. 10.1016/j.apsusc.2017.05.127. [DOI] [Google Scholar]
- Zhang X.; Gui Y.; Xiao H.; Zhang Y. Analysis of adsorption properties of typical partial discharge gases on Ni-SWCNTs using density functional theory. Appl. Surf. Sci. 2016, 379, 47–54. 10.1016/j.apsusc.2016.04.048. [DOI] [Google Scholar]
- Zhang X.; Gui Y.; Dai Z. A simulation of Pd-doped SWCNTs used to detect SF6 decomposition components under partial discharge. Appl. Surf. Sci. 2014, 315, 196–202. 10.1016/j.apsusc.2014.07.056. [DOI] [Google Scholar]
- Xiao S.; Zhang J.; Zhang X.; Cui H. Pt-doped single-walled CNT as a superior media for evaluating the operation status of insulation devices: a first-principle study. AIP. Adv. 2018, 8, 105101. 10.1063/1.5050643. [DOI] [Google Scholar]
- Zhang X.; Zhang J.; Dong X.; Cui H. A DFT calculation of fluoride-doped TiO2 nanotubes for detecting SF6 decomposition components. Sensors. 2017, 17, 1907. 10.3390/s17081907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mananghaya M.; Yu D.; Santos G. N.; Rodulfo E. Adsorption of Mercury(II) Chloride and Carbon Dioxide on Graphene/Calcium Oxide (0 0 1). Korean J. Mater. Res. 2016, 26, 298–305. 10.3740/MRSK.2016.26.6.298. [DOI] [Google Scholar]
- Suresh R.; Vijayakumar S. Adsorption of greenhouse gases on the surface of covalent organic framework of porphyrin – An ab initio study. Physica E 2021, 126, 114448. 10.1016/j.physe.2020.114448. [DOI] [Google Scholar]
- Lemos Silva R. A.; Scalabrini Machado D. F.; Nunes Rodrigues N. M.; de Oliveira H. C. B.; Ribeiro L.; da Silva Filho D. A. Harnessing Greenhouse Gases Absorption by Doped Fullerenes with Externally Oriented Electric Field. Molecules. 2022, 27, 2968. 10.3390/molecules27092968. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meier D.; Goodman D. The Influence of Metal Cluster Size on Adsorption Energies: CO Adsorbed on Au Clusters Supported on TiO2. J. Am. Chem. Soc. 2004, 126, 1892–1899. 10.1021/ja030359y. [DOI] [PubMed] [Google Scholar]
- Pal R.; Poddar A.; Chattaraj P. Atomic Clusters: Structure, Reactivity, Bonding, and Dynamics. Front. Chem. 2021, 9, 730548. 10.3389/fchem.2021.730548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tielens F.; Bazin D. On the way of understanding the behavior of nanometer-scale metallic particles toward the adsorption of CO and NO molecules. Comptes Rendus Chimie. 2018, 21, 174–181. 10.1016/j.crci.2017.07.007. [DOI] [Google Scholar]
- Kabir M.; Mookerjee A.; Bhattacharya A. Structure and stability of copper clusters: A tight-binding molecular dynamics study. Phys. Rev. A 2004, 69, 043203. 10.1103/PhysRevA.69.043203. [DOI] [Google Scholar]
- Mao H.; Li B.; Ding W.; Zhu Y.; Yang X.; Li Ch.; Ye G. Theoretical Study on the Aggregation of Copper Clusters on a Liquid Surface. Materials. 2019, 12, 3877. 10.3390/ma12233877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Die D.; Zheng B.; Zhao L.; Zhu Q.; Zhao Z. Insights into the structural, electronic and magnetic properties of V-doped copper clusters: comparison with pure copper clusters. Sci. Rep. 2016, 6, 31978. 10.1038/srep31978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu H.; Wang J.; Wang J.; Hu Q.; Chang Y.; Li Q. Study on Pyrolysis Characteristics of SF6 in a Trace-Oxygen (O2) Environment: ReaxFFSFO Force Field Optimization and Reactive Molecular Dynamics Simulation. ACS Omega. 2020, 5 (41), 26518–26526. 10.1021/acsomega.0c03214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hohenberg P.; Kohn W. Inhomogeneous Electron Gas. Phys. Rev. 1964, 136 (3B), B864–B87117. 10.1103/PhysRev.136.B864. [DOI] [Google Scholar]
- Delley B. An all-electron numerical method for solving the local density functional for polyatomic molecules. J. Chem. Phys. 1990, 92, 508–517. 10.1063/1.458452. [DOI] [Google Scholar]
- Delley B. Analytic energy derivatives in the numerical local-density-functional approach. J. Chem. Phys. 1991, 94, 7245–7250. 10.1063/1.460208. [DOI] [Google Scholar]
- Perdew J.; Burke K.; Ernzerhof M. Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 1996, 77, 3865–3868. 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
- Tkatchenko A.; Scheffler M. Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data. Phys. Rev. Lett. 2009, 102, 073005. 10.1103/PhysRevLett.102.073005. [DOI] [PubMed] [Google Scholar]
- Adamo C.; Barone V. Toward reliable density functional methods without adjustable parameters: the PBE0 model. J. Chem. Phys. 1999, 110, 6158–6170. 10.1063/1.478522. [DOI] [Google Scholar]
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