JOURNAL OF CHEMICAL PHYSICS VOLUME 119, NUMBER 7 15 AUGUST 2003 ARTICLES The structure of silicon doped intermediate size carbon clusters Eva González Noyaa) Departamento de Fı́sica de la Materia Condensada, Facultad de Fı́sica, Universidad de Santiago de Compostela, E-15782 Santiago de Compostela, Spain Madhu Menonb) Department of Physics and Astronomy, University of Kentucky, Lexington, Kentucky 40506-0055 and Center for Computational Sciences, University of Kentucky, Lexington, Kentucky 40506-0045 共Received 20 February 2003; accepted 23 May 2003兲 The lowest energy configurations of silicon doped carbon clusters of intermediate size (Cn Sim , n ⫹m⫽11,12, m⫽1,2,3) are investigated using generalized tight binding molecular dynamics scheme and ab initio calculations. Our results favor low dimensional structures over three-dimensional arrangements for these clusters. This trend is in agreement with photolysis experiments that suggest linear chains to be more stable isomers. © 2003 American Institute of Physics. 关DOI: 10.1063/1.1592152兴 that the spectra of the Sin C⫺ 1 (3⭐n⭐7) are similar to those ⫺ clusters, and attributed it to being of similar of pure Sin⫹1 geometry. However, this similarity is not present between ⫺ ⫺ and Si1 Cm , and this they attribute to structural change Cm⫹1 from chains to rings. More recently, another study by Pellarin et al.22,23 covered different composition regimes of binary Sin Cm clusters by means of photolysis experiments. For clusters containing n⭐20 carbon atoms, they reported an enhanced stability for the most likely Cn Si⫹ 2 clusters and evidences for carbon chains terminated by one Si atom at each end rather than more compact structures. There are several theoretical studies dealing with the topic of small Sim Cn clusters.24 –32 Presilla-Márquez et al.26 –29 have combined measurements of frequencies, relative intensities, and isotopic shifts of vibrational fundamentals with ab initio calculations to identify new species or new modes of known species including SiC2 , Si2 C, Si2 C2 , Si3 C, SiC4 , Si2 C3 , Si3 C2 , and Si2 C4 . Froudakis et al.31 have performed an ab initio study of Si2 C4 , Si3 C3 , and Si4 C2 clusters and point out that, in the building-up mechanism of silicon–carbon clusters, strong C–C bonds are favored over Si–C bonds, while Si–Si bonds are much less important and, in addition, multicenter bonding plays an important role. More recently, Bertolus et al.32 made a systematic study of Sim Cn with m⫹n苸 具 3,6典 using the density functional theory. Their results showed that gradient corrections are ineffective when applied to this system. Furthermore, they predicted a segregation between silicon and carbon atoms, an increase in dimension as the silicon content increases, and the existence of a large number of isomers and transition states. Despite these studies, to the best of our knowledge, no theoretical work has been reported for clusters of intermediate sizes in the range n⫽10 to n⫽20. This is a challenging issue since the lack of symmetry, that we might find for the SiC hetero-clusters, would make the ab initio calculations computationally prohibitive. Also, the high number of sta- I. INTRODUCTION The structures and properties of mixed silicon–carbon hetero-clusters have attracted much attention over the past several years. One of the main reasons for this being that SiC, SiC2 , SiC3 , and SiC4 have been detected in the interstellar space and in the atmosphere of carbon stars.1–5 It is quite probable that bigger clusters are also present in these stars. Their detection, therefore, is important for an understanding of chemical processes in interstellar environments, and their discovery has inspired several works which reported the production of such clusters in the laboratory.6 –9 Moreover, silicon carbide is an attractive material from a technological point10 due to its high potential in electrical11 and high temperature mechanical12 devices. Even though carbon and silicon are contiguous in the same column 共Group IV兲 of the periodic table, their chemical and bonding properties are rather different. While carbon exhibits huge flexibility by forming single and multiple bonds, this characteristic is not shared by silicon which prefers multidirectional single bonds. The different behavior in the bonding is reflected in the structure of small pure clusters. Small carbon clusters (n⭐10) form planar structures, linear for odd n and cyclic for even n. 13–15 By contrast, silicon clusters are known to prefer three-dimensional structures from clusters as small as n⫽5.16 –19 These striking differences are also evident in the bulk phase, since no graphitic structure exists for Si. In the intermediate size silicon– carbon hetero-clusters it is reasonable to expect to find a transition from carbonlike to siliconlike behavior as we go from carbon-rich to silicon-rich clusters. This trend has been experimentally confirmed in previous works.20–23 For example, Nakajima et al.21 measured the photoelectron spectra ⫺ anion clusters (1⭐n⭐7 and 1⭐m⭐5), and found of Sin Cm a兲 Electronic mail: [email protected] Electronic mail: [email protected] b兲 0021-9606/2003/119(7)/3594/5/$20.00 3594 © 2003 American Institute of Physics Downloaded 06 Aug 2003 to 128.163.209.62. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 119, No. 7, 15 August 2003 tionary points in the potential energy surface 共PES兲 and their proximity to each other would make the exploration of the surface formidable. Consequently, the use of a computationally efficient method that allows us to sweep the PES as exhaustively as possible, is crucial. In this respect, the generalized tight-binding molecular dynamics scheme 共GTBMD兲33 provides us with a powerful tool to study the SiC hetero-clusters. This method has been proven to yield geometries for silicon and carbon clusters34 –36 in agreement with ab initio results. Recently it has also been successfully applied to the study of small size Sim Cn clusters and SiC hetero-fullerenes.33 II. THEORETICAL PROCEDURE In order to effectively explore the PES of the SiC heteroclusters we use a combination of methods that includes GTBMD scheme in conjunction with ab initio methods. The first step involves scanning the surface using the GTBMD scheme,33 thereby allowing us to go through a large number of configurations in a reasonable time and make a first guess. The structures found with this technique are then further relaxed using Hartree–Fock 共HF兲 method using the 6-31G* basis set. The stability of the clusters was examined by evaluating the harmonic frequencies with the same method and basis set. Even though correlation effects are very significant in this system and are not taken into account with HF, it can help us approach the minima and eliminate some of the geometries considered. However, a careful look at the vibrational analysis is necessary. For low frequencies HF is often unable to distinguish real frequencies from imaginary ones, confusing minima with saddle points and vice versa. In the final step, the structures were optimized using the density functional theory 共DFT兲 within the local spin density approximation 共LSDA兲. The functional used was a combination of Slater exchange functional37 and Vosko–Wilk–Nusair correlation functional 共SVWN兲38 using the 6-31G * basis set. This method has been found to yield the best results for small SiC clusters in accordance with experiment and accurate ab initio calculations among several functionals, including gradient-corrected functionals.32 All the HF and DFT calculations were performed using the GAUSSIAN 98 program.39 When the final geometry corresponds to a saddle point, a small displacement is applied along the eigenvectors of the normal mode associated with the imaginary frequency. Further relaxing of the system would then yield a true minima connected to this stationary point. III. GEOMETRIES OF THE LOW-ENERGY CONFIGURATIONS Following the techniques discussed in Sec. II, we have examined the structures and energies of carbon clusters substitutionally doped with up to three silicon atoms (Cn Sim , n⫹m⫽11,12, m⫽1,2,3). The initial geometries were based on the lowest-lying structures of C11 共Ref. 40兲 and C12 共Ref. 41兲, including in both cases linear, planar, and threedimensional configurations. In the search of the PES, many minima and saddle points were found very close in energy among themselves, supporting the trend previously reported Silicon doped carbon clusters 3595 TABLE I. Energy of the most stable silicon doped C11 clusters, where the energy is given in eV/atom. ␦ E denotes energy relative to the lowest energy isomer found and N Imag is the number of imaginary frequencies. SVWN Cluster C10Si C9 Si2 C8 Si3 Isomer C10Si C10Si C10Si C10Si C9 Si2 C9 Si2 C9 Si2 C9 Si2 C8 Si3 C8 Si3 C8 Si3 C8 Si3 共a兲 共b兲 共c兲 共d兲 共a兲 共b兲 共c兲 共d兲 共a兲 共b兲 共c兲 共d兲 HF EB ␦E N Imag E B 共eV兲 ␦E N Imag ⫺9.27 ⫺8.94 ⫺8.89 ⫺8.83 ⫺8.64 ⫺8.55 ⫺8.38 ⫺8.35 ⫺8.05 ⫺7.99 ⫺7.93 ⫺7.92 0 0.15 0.44 0.57 0 0.09 0.26 0.29 0 0.06 0.12 0.13 0 0 0 0 0 1 0 2 0 0 0 0 ⫺6.22 ⫺6.11 ⫺5.88 ⫺5.90 ⫺5.94 ⫺5.99 ⫺5.37 ⫺5.71 ⫺5.36 ⫺5.54 ⫺5.08 ⫺5.35 0 0.11 0.67 0.69 0.05 0 0.62 0.28 0.18 0 0.46 0.19 0 0 1 1 0 0 2 0 2 0 1 2 in the calculations of SiC clusters of smaller sizes.32 The three-dimensional structures, however, were found to be sufficiently higher in energy when compared to linear and planar structures and can be ruled out as candidates for ground state. We, therefore, limit our discussion mainly to the linear and planar structures and a few cage structures. Also, only the final structures resulting from the relaxation with the sequence of methods described are shown. All the molecular states corresponding to the structures discussed are singlets, except for the chains with 12 atoms, where the triplets were found to be more stable. It is worth noting that qualitative differences exist in the frequencies and order of energies predicted by HF and SVWN. As mentioned earlier, HF is only used as a tool to approach the minima in the relaxation process. The omission of correlation effects, extremely important in this system, makes any predictions using this method inaccurate and unreliable, and this task is performed using the more accurate SVWN LDSA method. Nevertheless, the use of the HF method is justified here. Mühlhäuser et al.42 have studied the effects of correlation in the Si3 C3 cluster by relaxing it using the HF and calculations based on the Møller–Plesset 共MP兲 theory, which does include correlation. Change in the resulting geometry was found to be minimal 共around 1% in distances and 3–5 degrees in angles兲 and correlation was found to affect only the relative energies of the different isomers studied. This provides proof that HF, even with its deficiencies, can still be a useful tool to perform relaxation for obtaining different starting configurations and to locate stationary points in the PES. A. Substitutional doping of the C11 cluster with silicon: C10Si, C9 Si2 , and C8 Si3 clusters The search results for the minima of the C11 cluster substitutionally doped with up to three silicon atoms is summarized in Table I and Fig. 1. In the three situations many minima with energies very close among each other were found. Consequently, the accuracy of the method used does not allow us to determine exactly the true minima of the PES. However, it appears that both linear and planar struc- Downloaded 06 Aug 2003 to 128.163.209.62. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3596 J. Chem. Phys., Vol. 119, No. 7, 15 August 2003 E. González Noya and M. Menon TABLE II. Energy of the most stable silicon doped C12 clusters, where the energy is given in eV/atom and ␦ E denotes energy relative to the lowest energy isomer found. The linear isomer C9 Si3 was not found to be a stationary point using HF. SVWN Cluster C11Si C10Si2 C9 Si3 FIG. 1. Structures of the lowest energy isomers of the C11 cluster doped with one, two, and three silicon atoms. tures are competitive as most stable isomers, while threedimensional arrangements lie higher in energy, even when up to three atoms are substituted 共0.51 eV/atom for C10Si, 0.54 eV/atom for C9 Si2 , and 0.12 eV/atom for C8 Si3 ). Another characteristic worth noting is that the presence of silicon atoms in a carbon cluster introduces some degree of asymmetry. The original geometries are deformed to accommodate the silicon atom, which has a longer bond length and prefers the directional single bonds. As a result, many of the relaxed structures show very low degree of symmetry. These binding preferences of silicon are clear in the linear chain C8 Si3 共Fig. 1兲 where a bending at the edge containing two silicons atoms is seen. The angle between the Si–C and Si–Si bonds is ⬇150°. B. Substitutional doping of the C12 cluster with silicon: C11Si, C10Si2 , and C9 Si3 In Fig. 2 we show low energy geometries of Cn Sim clusters with n⫹m⫽12. Table II contains a summary of results. As seen in the table, the various isomers lie very close in energies to each other, making it virtually impossible to list one single structure as the most stable. FIG. 2. Structures of the lowest energy isomers of the C12 cluster doped with one, two, and three silicon atoms. HF Isomer EB ␦E N Imag E B 共eV兲 ␦E N Imag C11Si 共b兲 C11Si 共a兲 C11Si 共c兲 C11Si 共d兲 C10Si2 共a兲 C10Si2 共b兲 C10Si2 共c兲 C10Si2 共d兲 C9 Si3 共a兲 C9 Si3 共b兲 C9 Si3 共c兲 C9 Si3 共d兲 ⫺9.01 ⫺9.00 ⫺8.98 ⫺8.86 ⫺8.77 ⫺8.70 ⫺8.56 ⫺8.56 ⫺8.35 ⫺8.24 ⫺8.22 ⫺8.19 0 0.01 0.03 0.15 0 0.07 0.21 0.21 0 0.06 0.15 0.16 0 0 0 1 0 0 0 1 0 1 0 0 ⫺6.23 ⫺6.17 ⫺6.23 ⫺5.86 ⫺6.08 ⫺6.06 ⫺5.94 ⫺5.77 ⫺5.87 ⫺5.62 ⫺5.68 0 0.06 0 0.37 0 0.02 0.18 0.01 0 0.25 0.19 1 1 4 1 0 2 0 3 0 0 0 In this case, planar or nearly planar single and double rings and linear chains appear to be likely candidates for the ground state. As in Sec. III A, three-dimensional structures can be ruled out as possible candidates in this range of composition, except perhaps for the C9 Si3 cluster, where a bowl structure 共Fig. 2兲 is among the lowest in energy. These results lead us to conclude that the ground state of clusters with these compositions are geometries with low dimensions, consisting of either chains or single and double rings. This may seem counter intuitive because silicon atoms prefer single bonds (sp 3 hybridization兲 which is not compatible with the sp 2 hybridization found in linear and planar structures. However, we note that this behavior was also found in experiments. Pellarin et al.22,23 proposed linear chains in this regimen of composition and found an enhanced stability for the Cn Si⫹ 2 clusters. IV. BONDS AND COORDINATION It is well known that silicon and carbon behave quite differently when forming bonds. With this in mind we analyze the different types of bonds formed by the two elements and present a histogram with the interatomic distances of 37 clusters studied 共see Fig. 3兲. This group of clusters includes the more stable isomers of all the stochiometries considered in this work. For the C–C bonds, there are four distributions centered at 1.28 Å, 1.35 Å, 1.41 Å, and 1.54 Å. As expected, the geometry of the clusters determines, for the most part, the range of the bonds. The smallest set of bonds arises mainly from one-dimensional chains, and it is coincident with the double bond in allenes. Two-dimensional structures contribute mainly to the maximum at 1.35 Å. The distribution at 1.41 Å 共distance between carbons in a graphene layer兲 derives contribution from both; two- and three-dimensional structures, the latter showing another peak at 1.54 Å 共the single bond length for carbon兲. For the Si–C interdistances, the histogram shows two distributions: one at 1.70 Å and a fairly broad distribution centered at 1.84 Å, which is the bond length of the single Downloaded 06 Aug 2003 to 128.163.209.62. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp J. Chem. Phys., Vol. 119, No. 7, 15 August 2003 Silicon doped carbon clusters 3597 to the complexity of the problem, it is not possible to propose one single structure as the global minimum in the PES. Additionally, we have also presented a study of bond length distribution, analyzing both neighbor distances and the coordination. The trend found is similar to the one proposed by Bertolus et al.32 in a similar study of smaller Si–C clusters. We believe that the method would be equally valid for the Si clusters doped with carbon. The candidates for ground state geometries, however, will be dominated by threedimensional structures. This is because orbitals in Si atoms prefer to form multidirectional single bonds. The ability of C atom to form various bonding configurations makes substitutional doping relatively easy. The mass spectroscopy experiments of Pellarin et al.22,23 suggests that in clusters containing up to 11 Si atoms a simple substitution of carbon atoms seems to be highly plausible. FIG. 3. Bond length distribution for all the SiC clusters studied in this work in the form of a histogram. Si–C bond. As before, it can be seen that the dimensionality of the structures is closely related to the distances between neighbors in the molecule. In fact, only linear structures contribute to bond lengths of 1.70 Å. For the Si–Si bond the lack of statistics does not allow us to make a reliable analysis. It is worth noting that hypervalence 共more than four bonds per atom兲 was not found for any clusters and that most of the atoms contained a coordination of two. This finding is consistent with the results reported by Bertolus et al.32 in a similar study of small Si–C clusters, where up to six atoms were considered. The results for both the coordination and the bond lengths are fairly close to the values obtained in our analysis. V. SUMMARY AND CONCLUSIONS In this work we have used the GTBMD scheme to search for possible ground state candidates for silicon doped carbon clusters, Cn Sim , n⫹m⫽11,12, m⫽1,2,3. The efficiency of this technique allowed us to analyze up to hundred of configurations and make a first guess. This was followed by more accurate calculations, based on the DFT and the LSDA approximation, to further relax the geometries and get the binding energies. As a result, it was found that Si–C heteroclusters present a fairly complex PES with numerous minima and saddle points that lie very close in energies, making the task difficult in the search for the minima and defying the resolution of the theoretical methods used. Moreover, a strong competition between linear chains and planar or nearly planar structures occurs, while three-dimensional structures are not seen as possible candidates for the ground state, even when three silicon atoms are inserted in the cluster. This is quite surprising as silicon is known to prefer single bonds which would form three-dimensional geometries. Nevertheless, our finding is consistent with photolysis experiments performed by Pellarin et al.22,23 However, due ACKNOWLEDGMENTS This work was supported by NSF 共NER-0165121, ITR0266277兲, DOE Grant 共00-63857兲, NASA Grant 共00463937兲, and the University of Kentucky Center for Computational Sciences. E.G.N. wishes to thank L. J. Gallego and C. Rey for useful discussions and acknowledges support from the CICYT, Spain 共Projects Pb98-0368-C02 and MAT 2002-03142兲 and the Xunta de Galicia 共Projects PGIDT01PXI20605PR and PGIDT00PXI20611PN兲. 1 J. Cernicharo, C. A. Gottlieb, M. Guélin, P. Thaddeus, and J. M. Vrtilek, Astrophys. J. 341, L25 共1989兲. 2 P. Thaddeus, S. E. Cummins, and R. A. Linke, Astrophys. J. 283, L45 共1984兲. 3 M. Ohishi, N. Kaifu, K. Kawaguchi, A. Murakami, S. Saito, S. Yumamoto, S.-I. Ishikawa, Y. Fujitu, Y. Shiratori, and W. M. Irvine, Astrophys. J. 345, L83 共1989兲. 4 P. F. Bernath, S. A. Rogers, L. C. O’Brien, C. R. Brazier, and A. D. McLean, Phys. Rev. Lett. 60, 197 共1998兲. 5 A. J. Apponi, M. C. McCarthy, C. A. Gottlieb, and P. Thaddeus, Astrophys. J. 516, L103 共1999兲. 6 P. A. Withey and W. R. M. Graham, J. Chem. Phys. 96, 4068 共1992兲. 7 A. Van Orden, T. F. Giesen, R. A. Provencal, H. J. Hwang, and R. J. Saykally, J. Chem. Phys. 101, 10237 共1994兲. 8 M. C. McCarthy, A. J. Apponi, and P. Thaddeus, J. Chem. Phys. 110, 10645 共1999兲. 9 M. C. McCarthy, A. J. Apponi, C. A. Gottlieb, and P. Thaddeus, Astrophys. J. 538, 766 共2000兲. 10 P. Mélinon, P. Kéghélian, A. Perez et al., Phys. Rev. B 58, 16481 共1998兲. 11 P. Mélinon, V. Paillard, V. Dupuis et al., Int. J. Mod. Phys. B 9, 339 共1995兲. 12 N. Bernhard and G. H. Bauer, Phys. Rev. B 52, 8829 共1995兲. 13 K. Raghavachari and J. S. Binkley, J. Chem. Phys. 87, 2191 共1987兲, and references therein. 14 L. N. Shen and W. R. M. Graham, J. Chem. Phys. 91, 5115 共1989兲. 15 D. W. Arnold, S. E. Bradforth, T. N. Kitsopoulos, and D. M. Neumark, J. Chem. Phys. 95, 8753 共1991兲. 16 S. Li, R. J. Van Zee, W. Weltner, Jr., and K. Raghavachari, Chem. Phys. Lett. 243, 275 共1995兲 and references therein. 17 K. Raghavachari and C. M. Rohlfing, J. Chem. Phys. 94, 3670 共1991兲. 18 L. Adamowicz, Chem. Phys. Lett. 185, 244 共1991兲. 19 C. M. Rohlfing and K. Raghavachari, J. Chem. Phys. 96, 2114 共1992兲. 20 J. L. Fye and M. F. Jarrold, J. Phys. Chem. A 101, 1836 共1997兲. 21 A. Nakajima, T. Taguwa, K. Nakao, M. Gomei, R. Kishi, S. Iwata, and K. Kaya, J. Chem. Phys. 103, 2050 共1995兲. 22 M. Pellarin, C. Ray, P. Mélinon, J. Lermé, J. L. Vialle, P. Kéghélian, A. Perez, and M. Broyer, Chem. Phys. Lett. 277, 96 共1997兲. 23 M. Pellarin, C. Ray, J. Lermé, J. L. Vialle, M. Broyer, X. Blase, P. Kég- Downloaded 06 Aug 2003 to 128.163.209.62. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp 3598 J. Chem. Phys., Vol. 119, No. 7, 15 August 2003 hélian, P. Mélinon, and A. Perez, J. Chem. Phys. 110, 6927 共1999兲. I. L. Alberts, R. S. Grev, and H. F. Schaefer III, J. Chem. Phys. 93, 5046 共1990兲. 25 C. M. L. Rittby, J. Chem. Phys. 100, 175 共1994兲. 26 J. D. Presilla-Márquez and W. R. M. Graham, J. Chem. Phys. 96, 6509 共1992兲. 27 J. D. Presilla-Márquez and W. R. M. Graham, J. Chem. Phys. 100, 181 共1994兲. 28 J. D. Presilla-Márquez, C. M. L. Rittby, and W. R. M. Graham, J. Chem. Phys. 106, 8367 共1997兲. 29 J. D. Presilla-Márquez, C. M. L. Rittby, and R. M. Graham, J. Chem. Phys. 104, 2818 共1996兲. 30 G. Froudakis, A. Zdetsis, Mühlhäuser, B. Engels, and S. D. Peyerimhoff, J. Chem. Phys. 101, 6790 共1994兲. 31 G. Froudakis, M. Mühlhäuser, and A. Zdetsis, Chem. Phys. Lett. 233, 619 共1995兲. 32 M. Bertolus, V. Brenner, and P. Millié, Eur. Phys. J. D 1, 197 共1998兲. 24 E. González Noya and M. Menon M. Menon, J. Chem. Phys. 114, 7731 共2001兲. M. Menon and K. R. Subbaswamy, Phys. Rev. B 55, 9231 共1997兲. 35 M. Menon, E. Richter, and K. R. Subbaswamy, J. Chem. Phys. 104, 5875 共1996兲. 36 M. Menon, K. R. Subbaswamy, and M. Sawtarie, Phys. Rev. B 48, 8398 共1993兲. 37 J. C. Slater, Quantum Theory of Molecular and Solids Vol 4: The SelfConsistent Field for Molecular and Solids 共McGraw-Hill, New York, 1974兲. 38 S. H. Vosko, L. Wilk, and M. Nusair, Can. J. Phys. 58, 1200 共1980兲. 39 M. J. Frisch, G. W. Trucks, H. B. Schlegel et al., Gaussian 98, Revision A.6, Gaussian, Inc. Pittsburg, PA, 1998. 40 J. M. L. Martin, J. P. François, R. Gijbels, and J. Almlöf, Chem. Phys. Lett. 187, 367 共1991兲. 41 R. O. Jones, J. Chem. Phys. 110, 5189 共1999兲. 42 M. Mühlhäuser et al., Z. Phys. D: At., Mol. Clusters 32, 113 共1994兲. 33 34 Downloaded 06 Aug 2003 to 128.163.209.62. Redistribution subject to AIP license or copyright, see http://ojps.aip.org/jcpo/jcpcr.jsp
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