Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2008 Dec 1.
Published in final edited form as: J Phys Chem A. 2006 May 4;110(17):5901–5908. doi: 10.1021/jp0573588

Equilibrium geometries and associated energetic properties of mixed metal- silicon clusters from global optimization

Jianhua Wu 1, Frank Hagelberg 1
PMCID: PMC2590771  NIHMSID: NIHMS63066  PMID: 16640388

Abstract

The structural properties of the cluster series MemSi7-m (Me=Cu and Li, m ≤ 6) are studied by density functional theory (DFT) employing a plane wave basis. The equilibrium geometries and energetic properties of these clusters are obtained by use of the simulated annealing procedure in conjunction with the Nosé thermostat algorithm. The lowest energy isomer thus obtained is analyzed by Density Functional Theory at the B3LYP/6−311+G(d,p) level including all electrons. Pentagonal ground state structures derived from the D5h equilibrium geometries of both Si7 and Cu7 are obtained for CumSi7-m with m < 6. The LimSi7-m clusters, in contrast, tend towards adsorption geometries where m Li atoms are attached to a Si7-m framework with pronounced negative charge. For both LimSi7-m and CumSi7-m, a marked decrease of the energy gap is found as the number of metal atom constituents increases. 61.46.+w, 73.22.-f, 36.40.Qv, 36.40.Cg

Introduction

Atomic Clusters containing no more than a few hundred particles have been shown to display pronounced size-dependent properties,1 such as geometric and electronic structure, binding energy, melting temperature. A large and rapidly growing range of applications has been identified for nanoclusters. Thus, in view of their very favorable surface/volume ratio, these species have been utilized as catalysts.2 More recently, much attention has been paid to the use of nanoclusters in a biological context. For example, gold nanoparticles studded with short segments of DNA3 could form the basis of an easy-to-read procedure for identifying genetic sequences4.

Substantial efforts of both theorists and experimentalists have focused on elucidating the geometric, electronic and energetic features of pure silicon clusters.5-15 These studies were motivated chiefly by the fundamental interest in the size evolution of silicon from the scale of several atoms to the crystalline phase as well as the prospect of applications in the field of electronic materials. Photodissociation5 and collision-induced dissociation experiments have shown that both Si6 and Si10 have exceptional stability, consistent with their “magic” behavior as observed in the mass spectra of Si clusters.6

The electronic structure of small metal clusters has long been a subject of intensive theoretical and experimental studies, because of its importance for the understanding of metal-metal interactions and its relevance for catalysis and photography. Alkali metal clusters, such as sodium and lithium clusters,16-20 have received most attention, which is related to the simplicity of these systems, with each metal atom contributing only one valence electron. Further, detailed investigations have been devoted to transition-metal clusters, and among them prominently noble metal clusters.21-23

At low temperatures, the most favored structure of a cluster of N particles is the one that minimizes its total energy. Within the Born-Oppenheimer approximation the preferred geometry is given by the global minimum of the total cluster energy as a function of the coordinates of the atomic cores, defining the potential-energy surface (PES). In the case of Li clusters (LiN), systematic ab initio configuration-interaction studies for N≤9 have shown that the lowest isomers are planar up to the pentamer.18 At N=6, Ishikawa et al.19 reported a three-dimension D4h structure with slightly lower energy than the planar triangle and the pentagonal pyramid.

The energetics of small copper clusters has been extensively treated in a recent review by Alonso.21 Several ab initio calculations21 have been performed for N≤10, again comparing a set of plausible structures. There is evidence of planar equilibrium shapes up to N=5 or N=6 maximum, as suggested by recent density functional theory (DFT) calculations.22 For N=13, DFT computations indicate a preference of the icosahedron over the cuboctahedron.23

The structures of Sin (n=4−13) clusters have been studied extensively by both ab initio and density functional approaches. For a review, the reader is referred to ref.11. The ground state of Si4 is a planar rhombus (D2h) in the neutral and anionic states. The ground state of Si5 is a compressed trigonal bipyramid (D3h) while Si6 and Si7 adopt the structures of a C2v edge-capped trigonal bipyramid and a D5h pentagonal-bipyramid, respectively. The latter geometry has also been identified as the equilibrium structure of the metal clusters Li718 and Cu722.

Metal-doped silicon clusters exhibit a richer variety of geometric arrangements than pure silicon clusters. The metal atom in the Sin cluster stabilizes the pure Si cluster. Beck24 used a laser vaporization supersonic expansion technique to investigate MeSin (Me=Cu, Cr, Mo, and W) clusters by means of mass-spectrometry and reported that they turned out to be more stable towards photofragmentation than bare Sin clusters of similar size. Employing an ion trap method, Hiura et al.25 produced metal atom encapsulating Si cluster ions of composition MeSin+ (Me=Hf, Ta, W, Re, Ir, etc., with n=9,11,12,13,14). Further analysis revealed that Sin cluster with endohedral metal atom impurities are characterized by enhanced stability, strong size selectively, and a large energy gap between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO). The respective experimental findings stimulated several computational projects on the geometric, electronic and energetic properties of metal-doped silicon clusters.12, 26-30

Mixed species combined of both types of constituents, metal and semiconductor components, have been shown to occur at the metal-semiconductor interface.31,32 These hybrids are of substantial impact on the properties of the interface as well as the semiconductor. Clusters of the form CuxSiy, containing multiple copper atoms, were detected in experiment.31,32 To our knowledge, no theoretical investigation on these species has been presented so far. In this contribution we study the geometric and energetic features of MemSi7-m (Me=Cu and Li, m ≤ 6) clusters. The choice of these systems is motivated by the similarity of the pure Si7, Li7, and Cu7 clusters which all stabilize in D5h symmetry, thus imposing ‘symmetry boundary conditions’ on MemSi7-m (Me = Cu and Li, m=1,2,...,6). On the other hand, Li and Cu, representing the alkali group (IA) and the noble metal group (IB) of the periodic system, are expected to display strongly differing behavior when integrated into a Sin cluster. Thus, the most loosely bound electron of Li is easily transferred to the Si constituents. In LimSin clusters, therefore, Li atoms will act as electron donors, and Si atoms as the receptors. Cu atoms, however, have been shown to form covalent bonds with Si atoms12,33, and, correspondingly, to adopt substitutional positions in Sin clusters.34 How does this fundamental difference impact the geometries, stabilities and bonding features of the mixed species MemSi7-m with Me = Li, Cu?

To eliminate the dependence on the initial geometry, and to reduce the probability for trapping the system in a higher than the lowest minimum of the potential energy surface, a global optimization scheme has to be applied as opposed to a local relaxation method. The need for a global procedure is strongly intensified in the present case where species consisting of mixed constituents are considered since the set of candidate structures is increased by the number of possible permutations of the two differing elements. The simulated annealing approach7 has been demonstrated to be successful in identifying global minima, although it met with some difficulties for large clusters.

In this work, we employ ab initio molecular dynamics on the basis of the simulated annealing method35,36 to investigate species of the form MemSi7-m (Me=Cu and Li, m ≤ 6) clusters. In order to confirm the lowest energy isomers we have also applied various quantum chemical methods including density functional theory (DFT) at the B3LYP/6−311+G(d,p) level taking all electrons into account.

In the following, we outline the computational method; subsequently, the calculated results are presented and discussed. Finally, we add some concluding remarks.

Theoretical approach

Global geometry optimizations have been performed using the Density Functional Theory (DFT) based Vienna ab initio Simulation Package (VASP).35,36 More specifically, the finite temperature version of Local Density Functional (LDF) Theory, as developed by Mermin,37 is utilized in conjunction with the exchange-correlation functional given by Ceperley and Alder and parameterized by Perdew and Zunger.38 It has been shown that the Hellmann-Feynman scheme yields a valid description of the forces within the DFT formalism also at finite temperature. Instead of Fermi-Dirac broadening of the one-electron energies, it may be computationally convenient to choose Gaussian broadening which is used in this contribution. The width of the Gaussian distribution was selected as 0.01eV, the total energy of the system refers to the limit of vanishing width.

The generalized Kohn-Sham equations39 are solved employing a residual minimization scheme, namely the direct inversion in the iterative subspace (RMM-DIIS) method.40,41 The interaction between valence electrons and core ions is described by the projector-augmented wave (PAW) method42 applying a generalized gradient correction (GGA), where the exchange correlation functional of Perdew and Wang43 (PW91) was used. In the case of Li atoms, all electrons (1s and 2s shell) are treated as valence electrons; the energy cut-off for plane wave basis set is chosen as Ecut=272 eV, while that for the augmentation charges is Eaug=428 eV. For Cu atoms, 3d and 4s electrons are included in the valence system; the values for the energy cut-off are Ecut=273 eV and Eaug=516 eV, respectively. For Si atoms, the valence system comprises the 3s and the 3p shell, and Ecut (Eaug ) are set at 245 eV (322 eV).

In order to examine the reliability of the exchange-correlation functional on which the results of our manuscript are based, we carried out computations using the Perdew-Burke-Ernzerhoff (PBE) functional44 for the cluster CuSi6 as a test case. The optimizations performed with these two potentials yield the same type of equilibrium geometry, i.e. a substitutional structure based on the pentagonal shape of Si7. The bond lengths obtained in the two cases deviate by about two per cent.

The atomic motion is described using Nosé dynamics45 generating a canonical ensemble. The Nosé thermostat corresponds to a method for simulating a canonical ensemble at a selected temperature. The fictitious thermostat mass Q, which determines the response of the heat bath to fluctuations of the ionic system, must be sufficiently small to allow the system to approach equilibrium fast enough, and sufficiently large to yield correct values for the energy fluctuations of the ionic system.46 In each individual case considered in the present work, we adjusted Q such that the period of the thermostat is equal to about 120 time steps.35

The ionic equations of motion are integrated using a fourth-order predictor-corrector algorithm35,47,48 which allows the use of time steps as large as t=3.0 fs with good energy conservation.

In our simulation, the initial configuration was realized by a random distribution of atoms with 2.6 Å as the lower limit of the distance between any atom pair. Periodic boundary conditions were imposed on a cubic cell with of dimension 16 Å × 16 Å × 16 Å. By analyzing the atomic trajectories as they evolve during the simulation, we find that the minimal distance between atoms in neighboring supercells is larger than 9 Å, making the interaction between supercells negligible. Each simulation started at a temperature T=2000 K and was extended at this temperature over a period of 9.0ps (3000 time steps), allowing the system to attain equilibrium. Subsequently, the hot clusters were cooled down slowly and uniformly to zero temperature during a time interval of 30.0ps (10000 time steps). Finally, the geometry obtained from the simulated annealing procedure was optimized enforcing the convergence criterion that the difference between the total energies obtained in two subsequent steps be less than 0.1 meV. It should be noted that the value of the thermostat mass Q and the cooling speed are the most sensitive factors in the simulated annealing process. Performing several simulated annealing runs for selected test systems where the initial structure and the starting temperature were varied, we found the converged final structures unaffected by these procedural changes. In these tests, the starting temperature ranged from 2000 to 3000 K. However, variation of the value of Q and of the cooling speed resulted in alterations of the final structures. Especially, we observed that a combination of very small Q and fast cooling speed led, for some clusters, to isomers of higher energy. For standard simulated annealing runs, we implemented a cooling speed of 10 C/15 fs and a time step of 3 fs.

In order to confirm that the structure obtained by the process described above is the ground state, we also carried out geometry optimizations at the B3LYP/6−311+G(d,p) level for the lowest isomers that emerged from the simulated annealing procedure. A detailed discussion of the suitability of the B3LYP method for the treatment of metal – silicon clusters is presented in references 12 and 29. The agreement of B3LYP results for various copper – silicon test cases with available experimental values and those obtained by quantum chemical procedures of higher accuracy was generally found to be very satisfactory. The quantum chemical calculations were performed using the Gaussian 03 code.49 Three types of geometric arrangements were chosen as input structures, namely 1) geometries obtained from the above standard simulated annealing and the alternative process that combines a small value of Q with high cooling speed, leading to isomers of higher than the ground state energies, 2) substitutional structures of Si7 (Cu7,Li7) with metallic atoms at the equatorial sites, 3) structures with face adsorption of the metallic atom on the Si6 framework for clusters of composition MeSi6. Moreover, we subjected the isomers obtained using the B3LYP/6−311+G(d,p) approach to further optimization by means of the plane wave DFT method as implemented in the VASP program. The results are presented and discussed in the following section.

Results and discussion

The structures obtained from our simulated annealing approach and those generated by the quantum chemical computation are plotted in Figures 1 and 2. The isomers of the CumSi7-m series labeled as mGS, ma, m ≤ 6 are shown in Figure 1, where mGS refers to the geometry of the ground state (GS) obtained from simulated annealing, and ma, mb, ..., indicate the higher energy isomers obtained from the quantum chemical calculations with different initial structures as mentioned above. The results of LimSi7-m are shown in Figure 2.

Figure 1.

Figure 1

Figure 1

The structure of CumSi7-m (m=1,2,...,6) clusters

Figure 2.

Figure 2

Figure 2

Figure 2

The structure of LimSi7-m (m=1,2,...,6) clusters

It is should be noted that the above GS of each cluster refers to the lowest energy state obtained from optimization by use of the plane wave (PW) DFT method. In each case, the GS is employed as reference of zero energy. As can be seen from Table I, the results generated by use of the plane wave and the hybrid density functional (B3LYP) approaches are in a good agreement for all the isomers excepting the systems CuSi6 and Cu5Si2. For all other isomers of the form MemSi7-m (Me = Cu, Li), the difference between the geometric parameters obtained by use of the plane wave and the B3LYP method amounts to less than four per cent; thus in the following, the parameters referred to are those obtained by the latter procedure.

Table I.

Relative energies and energy gaps for considered clusters with different isomers

Cluster Isomer Relative energy(eV) Energy gap(eV)
PW DFT B3LYP PW DFT B3LYP
Si7 0GS 0.0 0.0 2.097 3.162
CuSi6 1GS 0.0 0.00
1a 0.018 −0.078
Cu2Si5 2GS 0.0 0.0 1.827 3.054
2a 0.070 0.072
Cu3Si4 3GS 0.0 0.0
3a 0.073 0.120
Cu4Si3 4GS 0.0 0.0 1.002 2.179
4a 0.034 0.005
4b 0.163 0.104
Cu5Si2 5GS 0.00 0.0
5a 0.071 −0.042
5b 0.184 0.140
Cu6Si 6GS 0.0 0.0 1.725 2.602
6a 0.217 0.242 0.893 1.890
6b 0.470 0.627 0.409 1.450
LiSi6 1GS 0.0 0
1a 0.264 0.199
1b 0.273 0.254
Li2Si5 2GS 0 0 2.103 3.188
2a 0.016 0.025
2b 0.201 0.230
2c 0.560 0.494
Li3Si4 3GS 0 0
3a 0.374 0.365
3b 0.493 0.380
Li4Si3 4GS 0 0 0.915 1.910
4a 0.004 0.008
4b 0.341 0.311
Li5Si2 5GS 0 0
5a 0.149 0.107
5b 0.157 0.092
5c 0.283 0.250
Li6Si 6GS 0 0 1.025 1.530
6a 0.350 0.357 0.944 1.679

1. CumSi7-m (m=1,2,...,6)

We comment first on CumSi7-m (m ≤ 6). Cu is one of the most widely used impurities in silicon device fabrication.50 As shown by studies of transition metal elements in silicon, they tend to diffuse interstitially and locate at interstitial sites in thermal equilibrium at the diffusion temperature.34 Investigations of copper doped silicon clusters demonstrate that Cu in Sin is likely to occupy a substitutional position derived from the most stable geometry of Sin+1 by replacing a Si atom of obtained by Cu. The global minima of small Sin clusters have been identified by extensive collaborative efforts of theory and spectroscopic measurement.11

The ground state of Si7 (m=0) is a pentagonal bipyramid (D5h).10-12 The geometric parameters of Si7 are much closer to anionic Si6 than to the neutral Si6 cluster.12 Two competitive geometries have been identified for the CuSi6 (m=1) cluster. The lowest isomer (1GS) corresponds to a substitutional structure with Cu occupying an equatorial site. It is near-degenerate with an adsorption site isomer where Cu attaches to a face of the Si6 frame. From DFT – plane wave calculation, these two alternatives are separated from each other by a small energy difference of 0.018 eV. It should be noted that the approach yields the same order of stabilities for the two structures12. The B3LYP/6−311+G(d,p) assessment favors the adsorption site (1a) over the substitutional site (1GS) by a still small but distinct energy difference of 0.078 eV. Both methods, however, predict the stabilities of the two compared structures to be almost equal.

For m=2, the equilibrium structure (2GS) involves two Cu atoms substituting for two Si atoms of the Si7 cluster at equatorial sites. The 5 Si atoms arrange in a somewhat distorted D3h structure, and the two Cu atoms form a dimer with an internuclear distance of 2.605Å. This value may be compared with the bond lengths of Cu2 (2.278Å), and Cu2+ (2.449 Å). Thus, the bond distance of the Cu2 subunit in Cu2Si5 is distinctly closer to that of the Cu2 cation than that of the neutral molecule. This observation is in keeping with the result of natural population analysis51, which implies that each Cu atom of Cu2Si5 transfers 0.45e to the Si subsystem, as indicated in Table II. On the other hand, an isomer with two Cu atoms replacing two Si atoms at the apical sites of Si7 turns out to be higher in energy by 1.98 eV than 2GS, while that with two Cu atoms substituting for two equatorial Si atoms at separated sites is found to be unstable. The isomer of second to lowest stability (2a), being higher in energy than 2GS only by 0.070eV, is derived from the structure 1a of CuSi6 with two Cu atoms at positions 1 and 3 (Figure 1). The architecture of this unit may be described as a Si4 bent rhombus structure combined with two bonding Cu atoms and the remaining Si atom interacting with both the Si4 and the Cu2 subsystems.

Table II.

Natural charge for all atoms in selected isomers by Gaussian at B3LYP/6−311+G(d,p). The red color refers to Cu, the grey color to Li atoms.

Cluster Isomer 1 2 3 4 5 6 7
CuSi6 1a 0.12 −0.25 0.12 −0.31 −0.10 −0.10 0.52
Cu2Si5 2GS −0.03 −0.23 −0.03 −0.29 −0.32 0.45 0.45
Cu3Si4 3GS −0.24 −0.24 −0.40 −0.40 0.45 0.39 0.45
Cu4Si3 4GS −1.02 −0.44 −0.44 0.47 0.47 0.48 0.48
Cu5Si2 5a −0.84 −0.83 0.38 0.30 0.37 0.37 0.25
Cu6Si 6GS −1.25 0.27 0.34 0.34 0.27 0.27 −0.24
LiSi6 1GS −0.10 0.05 0.06 −0.10 −0.38 −0.38 0.85
Li2Si5 2GS −0.15 −0.37 −0.15 −0.68 −0.37 0.86 0.86
Li3Si4 3GS −0.53 −0.84 −0.56 −0.53 0.84 0.81 0.81
Li4Si3 4GS −0.83 −1.27 −1.27 0.85 0.85 0.83 0.85
Li5Si2 5GS −1.47 −1.47 0.55 0.49 0.55 0.49 0.88
Li6Si 6GS −3.60 0.60 0.60 0.60 0.60 0.60 0.60

The ground state of Cu3Si4 (3GS) is characterized by three Cu atoms substituting for three connected equatorial Si atoms. An initial substitutional structure with three disconnected Cu atoms at the equatorial sites of Si7 relaxes to 3a, which is 0.073eV higher in energy than 3GS. As the 1a variant of CuSi6 is prepared with three Cu atoms at positions 1, 3 and 7 (see Figure 1), relaxation to 3a is observed as well.

The ground state of Cu4Si3 (4GS) exhibits a deformed pentagonal shape, resembling the Si7 species. The three Si atoms locate at the equatorial sites with two connected and one disconnected Si atoms. As demonstrated by natural population analysis12, the apical Si atoms of Si7 accept electrons from the equatorial sites. This leads to the expectation that the two apical sites of the Cu4Si3 structure based on D5h symmetry should be occupied by Si atoms. This structure, however, is shown to be unstable by B3LYP/6−311+(d,p) analysis. The Cu4Si3 ground state geometry may be understood as originating from the Cu4 ground state which stabilizes as a bent rhombus. In Cu4Si3, the three Si atoms are adsorbed on different sides of this rhombus. An isomer (4a) with one Si atom adsorbed on the face of a Si6-like Cu4Si2 framework is found to be 0.034eV higher in energy than 4GS. The isomer (4b) with one Si atom replacing Cu at an apical position and the other Si atoms occupying equatorial sites as defined by the Cu7 matrix is 0.163 eV higher in energy than 4GS. It should be noted that the bent Cu4 rhombus is present as a structural motif also in the isomer 4a.

Optimization employing the DFT - plane wave method shows that a structure derived from the D5h prototype (5GS) defines the lowest energy state of Cu5Si2. DFT analysis at the B3LYP/6−311+G(d,p) level, in contrast, identifies a side adsorbed isomer (5a) with one Cu atom attached to a Si6-like framework consisting of the four remaining Cu atoms and two Si atoms as lower in energy than 5GS by 0.042eV. Both 5GS and 5a can be considered as one Cu atom adsorbed on a Si6-like substructure, where four Cu atoms form a bent Cu4 rhombus, and two Si atoms locate above and below this rhombus. While simulated annealing at the standard settings employed in this work produces the 5GS unit, the alternative choice of parameters mentioned above, involving a small Nosé mass and fast cooling, yields 5a. The energy difference between these two alternatives is small, amounting to 0.078 eV as the DFT-plane wave method is used and to nearly one-half of this margin in case of the B3LYP treatment. A further isomer (5b) is found by DFT – plane wave calculation as 0.184eV higher in equilibrium energy than 5GS. In this case, four Cu atoms form a square, and two Si atoms adsorb on the top and bottom of it. A bipyramid structure (D4h) results, to which the remaining Cu atom attaches by face adsorption.

The equilibrium structure of Cu6Si (6GS) deviates from the D5h scheme. Four Cu atoms form the corners of slightly distorted square. The Si atom is located above the center of this arrangement. Among the residual Cu atoms, one is adsorbed to a SiCu2 face, and the other Cu atom bonds with a Cu2 subgroup at the opposite side of the Cu4 motif. This shape might be understood as resulting from the interaction between the pure D3h Cu6 cluster in its planar equilibrium geometry22 with an adsorbed single Si atom. The isomer 6a is a structure with 5 Cu atoms and one Si atom forming a D4h geometry with Si located at the top of the square defined by four Cu atoms. The remaining Cu occupies an adsorption site, interacting with a Cu3 subgroup. Its energy is 0.217eV higher than that of 6GS. Both 6GS and 6a may be viewed as two Cu atoms adsorbed on a pyramid framework constructed by a Cu4 square with Si top adsorption. The substitutional structure of Cu7 with Si at an equatorial site (6b) is less stable than 6GS by 0.470eV, and that with Si at an apical site proves to be unstable.

Summarizing the observations made with respect to the preferred structures of the CumSi7-m series, we find a strong persistence of the pentagonal motif given by the equilibrium structures of the two homogeneous clusters Si7 and Cu7. This is plausible in the light of earlier work on CuSin (n ≤ 6)12, 33 where it has been shown that Cu as an impurity in a Sin cluster tends to occupy a substitutional site of Sin+1 and correspondingly interacts with its Si neighbors by forming covalent bonds with ionic admixtures. This statement, however, cannot be reversed, since, from the present work, the geometries of CuSi6 and SiCu6 turn out to differ substantially. This difference appears to be associated with the deviating equilibrium shapes of the pure clusters Si6 and Cu6, the former being three-dimensional and the latter planar. Our investigation suggests that m = 6 is the smallest number of Cu constituents in CumSi7-m for which the Cum subsystem exerts a defining influence on the geometry of the mixed cluster. The ground states of both Cu4Si3 and Cu5Si2, as well as their low-lying isomers, exhibit solvation of the 7-m Si atoms in the Cum subunit. These atoms do not form a connected subsystem, since at least one of them bonds to Cu atoms only. The structure (3a) presents an example for the analogous phenomenon of Cum solvation in the Si7-m subunit. This feature demonstrates a certain degree of miscibility of the two elements blended together in CumSi7-m.

2. LimSi7-m (m=1,2,...,6)

The electronic structure of Lithium is 1s22s1. The 2s electron transfers easily to silicon. From our calculations, we find that the ground states structures of LimSi7-m tend to consist of an anionic Si7-m framework surrounded by m Li atoms that act as electron donors. From natural population analysis, an electronic charge of about 0.8e transfers from each Li to Si atoms. In what follows, we comment on individual systems.

The ground state of LiSi6 (1GS) is a deformed bipyramid, like the Si7 matrix. The Li atom adsorbs on the Si6 framework at the equatorial site. The isomer (1a) with Li adsorbed on a Si2 edge of Si6 framework is higher than 1GS by 0.264eV. The energy of isomer (1b), characterized by face adsorption of Li on Si6, exceeds that of 1GS by 0.2734 eV, while a substitutional geometry based on Si7 with Li located at the apical site is found to be less stable than 1GS by 2.009 eV. As a uniting structural feature of all explored LiSi6 isomers (1GS, 1a, and 1b), the six Si atoms tend to arrange in a Si6 configuration, to which the Li atom is attached

The equilibrium structure (2GS) of Li2Si5 corresponds to adsorption of two Li atoms on two different faces of the trigonal bipyramid (D3h) formed by five Si atoms. This Si5 framework turns out to be more closely related to dianionic Si52− than to neutral Si5. To be specific, the 1Si-2Si and 2Si-4Si bond lengths and the 1Si-2Si-3Si angle of Li2Si5 are 2.483 Å, 2.411 Å and 105.580°, respectively, which are much closer to the corresponding parameters in Si52− (2.400 Å, 2.606 Å, 102.391°) than in neutral Si5 (2.329 Å, 3.124 Å, 78.489°). Other isomers (2a and 2b) represent face adsorption patterns involving two Li atoms on adjacent sides of Si52−. Both are less stable than 2GS, by 0.016eV and 0.201eV, respectively. Isomer 2a is obtained by substituting two Li atoms for Si atoms at positions1 and 3 of 1a in CuSi6. Isomer 2b arises from substituting two Li atoms for two equatorial atoms of Si7. The salient feature of all of these isomers is that they derive from the Si52− trigonal bipyramid, with both Li atoms selecting adsorption sites. Applying natural population analysis (Table II), we find an overall transfer of about 1.72e from the two Li atoms to Si5. As a structural peculiarity of Si52− in comparison with Si5, the axis of the neutral species elongates markedly as two electrons are added to the cluster. A substitutional isomer (2c) based on Si7, where two Li atoms occupy separated equatorial sites, is determined to be substantially higher in energy than 2GS, namely by 0.560eV.

As one goes to Li3Si4, a face adsorption geometry is identified for the ground state 3GS. The three Li atoms adsorb on three different sides of Si4 which adopts tetrahedral geometry. This shape is incompatible with the Si4 ground state which stabilizes as a planar rhombus (D2h) in the neutral, cationic and anionic states.12 The three-dimensional structure of Si42−, however, is lower in energy by 0.188 eV than the planar rhombus alternative, as determined by optimization at the B3LYP/6−311+G(d,p) level. Natural population analysis shows that the three Li atoms transfer about 2.46e to Si4. Thus, the case of Li3Si4 demonstrates once more that the Li components in the Si – Li composites considered here act as electron donors and further, that electron transfer proceeding from the metal subsystem sensitively determines the geometry adopted by the semiconductor subsystem. A further optimization was carried out on the basis of a substantially different initial geometry. More specifically, the CuSi6 structure (1a) was used as a pattern, with Li atoms located at sites 1, 3, and 7 and Si atoms at the remaining sites. This configuration was found to relax to 3GS. The isomer (3a) obtained from an initial D5h based structure where the three Li atoms are placed on connected equatorial positions is 0.374eV higher in energy than 3GS. The isomer (3b) involves adsorption of the three Li atoms on a bent Si4 rhombus. This alternative, being less stable than 3GS by 0.493 eV, is not preferred.

The ground state geometry of Li4Si3 (4GS) differs strongly from that of Cu4Si3. The three Si atoms form an isosceles elongated Si3 triangle; an Li2 subunit bridges between the two Si atoms separated by the smallest distance within this Si3 motif, and two Li atoms are symmetrically edge adsorbed at the two longer sides of Si3. This isosceles elongated Si3 triangle turns out to be more closely related to trianionic Si33− than to neutral Si3. To be specific, the 1Si-2Si (1Si-3Si) bond length in Li4Si3 is 2.363 Å, which is about 0.025 Å shorter than the corresponding parameter in Si33−. Likewise, the distance between 2Si and 3Si of Li4Si3 is 2.715 Å, which is about 0.364 Å longer than the corresponding parameter in Si33−. By comparing the relevant charge density distributions, we find the effective charges on the atoms 2Si and 3Si in Li4Si3 to be higher by 0.2e than those on their counterpart atoms in Si33−. The interelectronic repulsion between 2Si and 3Si in Li4Si3 elongates the distance between them over that in Si33−. The ground state has also been attained by employing an initial D5h based structure with three Si atoms occupying one equatorial and two apical sites. No similarity is found between the geometry of the Li4 subsystem of Li4Si3 and that of the free Li4 cluster which has been shown to be planar18, 20. The isomer (4a) is obtained from an initial D5h based structure with two Si atoms occupying connected equatorial sites and the other Si atom locating at a separate equatorial site, analogous to (1a) of CuSi6 with three Si atoms occupying sites 4,5 and 6. This structure results as near degenerate with 4GS, as both geometries are separated by only 0.004eV. An isomer (4b) with one Li atom side-adsorbed on a Si6–like framework formed by Li3Si3 exceeds 4GS by 0.341eV. This framework consists of two Li atoms adsorbed on the top and bottom of the Si3 plane, and the additional Li atom on one of the longer sides of Si3.

The equilibrium structure of Li5Si2 (5GS) possesses a high degree of symmetry. Four of the five Li atoms form a planar rhombus located below a Si dimer, above which the remaining Li atom adsorbs. A slightly different isomer (5b) with the four Li atoms arranged in a diamond structure is by 0.157eV higher than the 5GS energy. The isomer (5a) with four Li atoms assembled to form a square with one Si atom adsorbed above and the other below the plane defined by this substructure, and the residual Li atom face adsorbed is less stable by 0.149eV than 5GS.

Turning to Li6Si (6GS), we find six octahedrally arranged Li atoms surrounding the central Si atom. The 6GS geometry is reproduced by B3LYP/6−311+G(d,p) optimization, where a D5h based structure defines the initial geometry. The energy of a further isomer (6a) which derives from the CuSi6 – (1a) prototype is 0.350 eV above that of 6GS.

On the basis of these observations, the members of the LimSi7-m group stabilize in characteristically different equilibrium structures than their counterparts of the CumSi7-m series. While substitutional sites are selected by Cu as metal impurity, Li favors adsorption sites, related to different interaction modes of Cu and Li with the Si7-m subsystem, namely the formation of covalent bonds in the former and stabilization through electron transfer in the latter case. This is in keeping with the observation that the natural charge on Lim is substantially higher than that on Cum for all m considered. More specifically, Li2Si5 and Li3Si4 can be unambiguously described as Si7-m dianions in contact with m Li adsorbate atoms, while Li4Si3 is more properly understood as involving a somewhat distorted Si33− subunit. For m > 4, novel structures are found as the resulting LimSi7-m equilibrium geometries appear to be dictated neither by the Lim nor by the Si7-m subsystem.

3. Energy gaps

It is interesting to examine if the expected narrowing trend of the energy gap as one goes from the purely semiconducting Si7 system to the purely metallic clusters Li7 and Cu7 can be confirmed for the systems investigated in this work. The results emerging from our plane wave basis and B3LYP/6−311+G(d,p) calculations are listed in Table I. Only the closed-shell clusters are included, i.e., MemSi7-m with m=0, 2, 4, 6. Consistently, the energy gaps obtained by the DFT plane-wave method are smaller than those determined by use of the hybrid quantum chemical technique by about 1.1 eV. The energy gap 2.097 eV of Si7 is the same as indicated in reference 7. A slight reduction of the energy gaps is observed as two metal atoms replace two Si atoms. This moderate change is followed by a drastic decrease as the metal atom count is incremented from two to four. As we proceed to larger complexes, however, the energy gap is found to increase from 1.002eV in Cu4Si3 to 1.725eV in Cu6Si. It is worth while noting that this conspicuous deviation from the trend suggested by the complexes with fewer Cu atoms correlates with geometry. Thus, the ground state structure of Cu6Si differs strongly from those of Si7, Cu2Si5, and Cu4Si3 which are all variations of the pentagonal pattern defined by the ‘limiting clusters’ Si7 and Cu7. The corresponding Cu6Si isomer (6b) exhibits an energy gap of 0.409eV which is drastically reduced as compared to that of Cu4Si3, namely by about 0.6eV. Therefore, by the criterion of energy gap size, the sequence of CumSi7-m isomers with D5h based geometries displays the anticipated trend of increasing metallicity with the number m of metal atoms contained in the cluster. Within the series of the maximally stable CumSi7-m systems, the unit Cu6Si presents an exception from this rule.

A similar, although more homogeneous picture is presented by the LimSi7-m series where an energy gap reduction from m = 0 to m = 4 is contrasted by a slight increase as one goes from m = 4 to m = 6. This observation is based on the DFT plane wave results, while the B3LYP/6−311+G(d,p) data predict a consistently decreasing trend. In spite of the obvious preponderance of the metal atom component in Li6Si and its peculiar geometry, involving a Si atom octahedrally surrounded by a metal atom shell, both the geometric parameters and the natural charges on the atomic centers of this cluster suggest that it cannot be characterized as metallic. The distance between adjacent Li atoms of d(Li – Li) = 3.4 Å, which is markedly elongated by the standard of bond lengths found typically in small Lim clusters (m ≤ 6) 18, diminishes the interaction between these ligands. Instead, the natural charges listed in Table 2 document a substantial amount of electron transfer from each metal atom to the Si center, giving rise to a complex of pronounced polarity. In view of these features, an energy gap narrowing as one goes from Li4Si3 to Li6Si is not a cogent conclusion.

Summary

The ground state geometries and associated energetic properties of the cluster series MemSi7-m (Me=Cu and Li, m ≤ 6) were identified by simulated annealing computations, the use of a global search algorithm being necessitated by the large number of possible atomic permutations for MemSi7-m with 1<m<6. Equilibrium geometries are obtained by use of a DFT - plane wave formalism in conjunction with the Nosé thermostat scheme. Good agreement is found between the DFT - plane wave basis method and the hybrid quantum chemical method B3LYP at the 6−311+G(d,p) level, excepting the cases of CuSi6 and Cu5Si2 where the D5h based shapes yielded by the former approach deviate from the geometries resulting from the latter. Within an accuracy of 0.1 eV, however, the order of stabilities among the ground state systems and low-lying isomers as predicted by the two methods agree in all cases considered.

Focusing on the general trends of the ground state equilibrium geometries of MemSi7-m (Me = Li and Cu, m ≤ 6), one observes that CumSi7-m tends to stabilize in D5h based substitutional geometries, while LimSi7-m prefers adsorption geometries, involving m Li atoms attached to a Si7-m2− (or Si7-m3−) framework whose architecture is determining for the shape of the cluster as a whole. For CumSi7-m, an exception from the prevailing pentagonal pattern is given by the system Cu6Si where the Si atom is adsorbed to a deformed Cu6 substructure. In contrast, none of the Lim subsystems resulting from LimSi7-m optimization bear resemblance to the geometries of any free Lim clusters. The observed preference of the pentagonal prototype as the structure of CumSi7-m clusters suggests a certain extent of interchangeability of Cu and Si constituents in these systems. This trend is further substantiated by the ground state configurations of the species with m = 2, 3 where fragmentation of the Si7-m is obtained.

The energy gaps of MemSi7-m (Me = Cu and Li, m ≤ 6) display a narrowing trend with the number of metal constituents, reflecting the increase of cluster metallicity. The species with m = 6, however, do not conform with this general tendency. This exceptional behavior appears correlated with the geometric characteristics of the two systems. While Cu6Si drastically deviates from the D5h based motif that dominates the CumSi7-m series, Li6Si displays octahedral coordination, giving rise to substantial polarity between the Si core and the Li6 ligand shell.

It will be interesting to extend the present study into the region of mixed metal – semiconductor clusters of intermediate size, with 10 ≤ m ≤ 50. Besides its fundamental relevance for the understanding of atomic clusters, such an investigation could contribute to answering the topical question to what degree various metal elements can be solvated in finite semiconductor structures.

Acknowledgments

This work is supported by the National Science Foundation through the grants HRD-9805465, NSFESP-0132618 and DMR-0304036, by the National Institute of Health through the grant S06-GM008047, and by the Army High Performance Computing Research Center under the auspices of Department of the Army, Army Research Laboratory under Cooperative Agreement No. DAAD 19-01-2-0014.

References

  • 1.Baletto F, Ferrando R. Rev. Mod. Phys. 2005;77:1. [Google Scholar]
  • 2.Henry CR. Surf. Sci. Rep. 1998;31:235. [Google Scholar]
  • 3.Alivisatos AP. Sci. Am. Int. (Ed.) 2001;285:66. doi: 10.1038/scientificamerican0901-66. [DOI] [PubMed] [Google Scholar]
  • 4.Alivisatos AP, Johnsson KP, Peng XG, Wilson TE, Loweth CJ, Bruchez MP, Schultz PG. Nature (London) 1996;382:609. doi: 10.1038/382609a0. [DOI] [PubMed] [Google Scholar]
  • 5.Bloomfield LA, Freeman RR, Brown WL. Phys. Rev. Lett. 1985;54:2246. doi: 10.1103/PhysRevLett.54.2246. [DOI] [PubMed] [Google Scholar]
  • 6.Martin TP, Schaber H. J. Chem. Phys. 1985;83:855. [Google Scholar]
  • 7.Lu ZY, Wang CZ, Ho KM. Phys. Rev. B. 2000;61:2329. [Google Scholar]
  • 8.Rata I, Shvartsburg AA, Horoi M, Frauenheim Th., Siu KWM, Jackson KA. Phys. Rev. Lett. 2000;85:546. doi: 10.1103/PhysRevLett.85.546. [DOI] [PubMed] [Google Scholar]
  • 9.Sieck A, Porezag D, Frauenheim Th., Peterson MR, Jackson KA. Phys. Rev. A. 1997;56:4890. [Google Scholar]
  • 10.Raghavachari K, Rohlfing CM. J. Chem. Phys. 1991;94:3670. [Google Scholar]; Raghavachari K, Rohlfing CM. J. Chem. Phys. 1988;89:2219. [Google Scholar]
  • 11.Shvartsburg AA, Liu B, Jarrold MF, Ho KM. J. Chem. Phys. 2000;112:4517. [Google Scholar]
  • 12.Xiao C, Hagelberg F, Lester WA., Jr. Phys. Rev. B. 2002;66:075425. [Google Scholar]
  • 13.Jackson KA, Horoi M, Chaudhuri I, Frauenheim Th, Shvartsburg AA. Phys. Rev. Lett. 2004;93:013401. doi: 10.1103/PhysRevLett.85.546. [DOI] [PubMed] [Google Scholar]
  • 14.Prendergast D, Grossman JC, Williamson AJ, Fattebert J–L, Galli G. J. Am. Chem. Soc. 2004;126:13827. doi: 10.1021/ja048038p. [DOI] [PubMed] [Google Scholar]
  • 15.Marim LR, Lemes MR, Dal Pino A., Jr. Phys. Rev. A. 2003;67:033203. [Google Scholar]
  • 16.Knight WD, Clemenger K, de Heer WA, Saunders WA, Chou MY, Cohen ML. Phys. Rev. Lett. 1984;52:2141. [Google Scholar]
  • 17.Bonacic-Koutecký V, Fantucci P, Koutecký J. Phys. Rev. B. 1988;37:4369. doi: 10.1103/physrevb.37.4369. [DOI] [PubMed] [Google Scholar]
  • 18.Boustani I, Pewestorf W, Fantucci P, Bonacic-Koutecký V, Koutecký J. Phys. Rev. B. 1987;35:9437. doi: 10.1103/physrevb.35.9437. [DOI] [PubMed] [Google Scholar]
  • 19.Ishikawa Y, Sugita Y, Nishikawa T, Okamoto Y. Phys. Lett. A. 2001;333:199. [Google Scholar]
  • 20.Srinivas S, Jellinek J. Phys. Status Solidi. 2000;217:311. [Google Scholar]
  • 21.Alonso JA. Chem. Rev. (Washington, D.C.) 2000;100:637. doi: 10.1021/cr980391o. [DOI] [PubMed] [Google Scholar]
  • 22.Jug K, Zimmermann B, Calaminici P, Köster AM. J. Chem. Phys. 2002;116:4497. [Google Scholar]
  • 23.Fujima N, Yamaguchi T. J. Phys. Soc. Jpn. 1989;58:1334. [Google Scholar]
  • 24.Beck SM. J. Chem. Phys. 1989;90:6306. [Google Scholar]
  • 25.Hiura H, Miyazaki T, Kanayama T. Phys. Rev. Lett. 2001;86:1733. doi: 10.1103/PhysRevLett.86.1733. [DOI] [PubMed] [Google Scholar]
  • 26.Han JG, Shi YY. Chem. Phys. 2001;266:33. [Google Scholar]
  • 27.Han JG, Hagelberg F. Chem. Phys. 2001;263:55. [Google Scholar]
  • 28.Xiao C, Hagelberg F. J. Mol. Structure: THEOCHEM. 2000;529:241. [Google Scholar]
  • 29.Ovcharenko IV, Lester WA, Jr., Xiao C, Hagelberg F. J. Chem. Phys. 2001;114:9028. [Google Scholar]
  • 30.Kumar V, Kawazoe Y. Phys. Rev. Lett. 2001;87:045503. doi: 10.1103/PhysRevLett.87.045503. [DOI] [PubMed] [Google Scholar]
  • 31.Scherer JJ, Pau JB, Collier CP, Saykally RJ. J. Chem. Phys. 1995;102:5190. doi: 10.1063/1.471101. ibid. 103, 113 (1995) [DOI] [PubMed] [Google Scholar]
  • 32.Scherer JJ, Pau JB, Collier CP, O'Keefe A, Saykally RJ. J. Chem. Phys. 1995;103:9187. [Google Scholar]
  • 33.Xiao C, Abraham A, Quinn Q, Hagelberg F, Lester WA., Jr. J. Phys. Chem. 2002;106:11380. [Google Scholar]
  • 34.Weber ER. Appl. Phys. A: Mater. Sci. & Proc. 1983;30:1. [Google Scholar]
  • 35.Kresse G, Hafner J. Phys. Rev. B. 1993;47:558. doi: 10.1103/physrevb.47.558. [DOI] [PubMed] [Google Scholar]; Kresse G, Hafner J. Phys. Rev. B. 1994;49:14251. doi: 10.1103/physrevb.49.14251. [DOI] [PubMed] [Google Scholar]
  • 36.Kresse G, urthmuller JF. Comput. Mater. Sci. 1996;6:15. [Google Scholar]
  • 37.Mermin ND. Phys. Rev. 1965;140:A1141. [Google Scholar]
  • 38.Perdew JP, Zunger A. Phys. Rev. B. 1981;23:5048. [Google Scholar]
  • 39.Kohn W, Sham LJ. Phys. Rev. 1965;140:A1133. [Google Scholar]
  • 40.Wood DM, Zunger A. J. Phys. A. 1985;18:1343. [Google Scholar]
  • 41.Pulay P. Phys. Lett. 1980;73:393. [Google Scholar]
  • 42.Blöchl PE. Phys. Rev. B. 1994;50:17953. doi: 10.1103/physrevb.50.17953. [DOI] [PubMed] [Google Scholar]
  • 43.Perdew JP, Wang Y. Phys. Rev. B. 1992;45:13244. doi: 10.1103/physrevb.45.13244. [DOI] [PubMed] [Google Scholar]
  • 44.Perdew JP, Burke K, Ernzerhof M. Phys. Rev. Lett. 1996;77:3865. doi: 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
  • 45.Nosé S. J. Chem. Phys. 1984;81:511. [Google Scholar]
  • 46.Bylander DM, Kleinman L. Phys. Rev. B. 1992;46:13756. doi: 10.1103/physrevb.46.13756. [DOI] [PubMed] [Google Scholar]
  • 47.Gear CW. Numerical Initial Value Problem in Ordinary Differential Equations. Prentice Hall, Englewood Cliffs; NJ: 1971. Chap. 9 and 10. [Google Scholar]
  • 48.Arnold A, Mauser N, Hafner J. J. Phys. Condens. Matter. 1989;1:965. [Google Scholar]
  • 49.Frisch MJ, Trucks GW, Schlegel HB, Scuseria GE, Robb MA, Cheeseman JR, Montgomery JA, Jr., Vreven T, Kudin KN, Burant JC, Millam JM, Iyengar SS, Tomasi J, Barone V, Mennucci B, Cossi M, Scalmani G, Rega N, Petersson GA, Nakatsuji H, Hada M, Ehara M, Toyota K, Fukuda R, Hasegawa J, Ishida M, Nakajima T, Honda Y, Kitao O, Nakai H, Klene M, Li X, Knox JE, Hratchian HP, Cross JB, Bakken V, Adamo C, Jaramillo J, Gomperts R, Stratmann RE, Yazyev O, Austin AJ, Cammi R, Pomelli C, Ochterski JW, Ayala PY, Morokuma K, Voth GA, Salvador P, Dannenberg JJ, Zakrzewski VG, Dapprich S, Daniels AD, Strain MC, Farkas O, Malick DK, Rabuck AD, Raghavachari K, Foresman JB, Ortiz JV, Cui Q, Baboul AG, Clifford S, Cioslowski J, Stefanov BB, Liu G, Liashenko A, Piskorz P, Komaromi I, Martin RL, Fox DJ, Keith T, Al-Laham MA, Peng CY, Nanayakkara A, Challacombe M, Gill PMW, Johnson B, Chen W, Wong MW, Gonzalez C, Pople JA. Gaussian 03, Revision C.02. Gaussian, Inc.; Wallingford CT: 2004. [Google Scholar]
  • 50.Istratov AA, Weber ER. Appl. Phys. A. 1998;66:123. [Google Scholar]
  • 51.Foster JP, Weinhold F. J. Am. Chem. Soc. 1980;102:7211. [Google Scholar]; Reed AE, Weinhold F. J. Chem. Phys. 1983;78:4066. [Google Scholar]; Reed AE, Weinstock RB, Weinhold F. J. Chem. Phys. 1985;83:735. [Google Scholar]

RESOURCES