Abstract
In this article, we present a modified Velocity-Verlet algorithm that makes cluster system converge rapidly and accurately. By combining it with molecular dynamics simulations, we develop an effective global sampling method for extracting isomers of bimetallic clusters. Using this method, we obtain the isomers of icosahedral PdxAg13−x (x = 0–13). Additionally, using the first-principle spin-polarized density functional theory approach, we find that each isomer still retains its icosahedral structure because of strong s-d orbital hybridization, and the cluster is more stable when a Pd atom is at the center of the cluster. With increasing x value, the magnetic moment decreases linearly from 5.0 μB at x = 0, until reaching zero at x = 5, and then increases linearly up to 8.0 μB at x = 13. By calculating the atom-projected density of states (PDOS), we reveal that the magnetic moment of PdxAg13−x mainly originates from s electrons of Ag when 0 ≤ x < 5, and d electrons of Pd when 5 < x ≤ 13. The PDOS results also show that the PdxAg13−x tends to transform from a semiconductor state to semi-metallic state when x gradually increases from 0 to 13.
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Introduction
Bimetallic clusters have received much attention due to their unique optical, magnetic and catalytic properties1, 2. The properties of bimetallic clusters depend on their structure to a great extent3, 4. For instance, stable structures of Co18-mCum (0 ≤ m ≤ 18) clusters show evident segregation phenomenon, and their magnetic moment varies with elemental composition5. The doping of one Mn atom can enhance the stability of Pdn (n = 3–19) clusters, and their magnetic moment can also be increased by a magnitude of 3–5 μB6. Searching for bimetallic clusters with good stability and property is now becoming a hot topic in the field of clusters due to their potential important applications.
Searching for stable structures is actually a rather difficult task due to the structural complexity of mixed clusters. Constructing mixed clusters with magic structures are regarded as an effective avenue. In this work, we focus on the study of stable structures of Pd-Ag bimetallic clusters as well as their magnetic properties. Previous studies have shown that both Pd clusters and Ag clusters exhibit magnetic moments, nevertheless, silver clusters have weak magnetic moment, e.g., less than 2.0 μB for Agn (n ≤ 12) and 5.0 μB for Ag13, while Pdn (n = 3–19) clusters exhibit increased magnetic moments in stepwise manner with increasing n4,5,6,7,8. Different from single-elemental clusters, the structures of Pd-Ag clusters are more complex, so are the origins of magnetic moments. Some theoretical methods have been used to calculate the structures of Pd-Ag clusters, such as an adaptive immune optimization algorithm9, molecular dynamics simulations10, and a modified basin hopping Monte Carlo simulation2. All these studies have pointed out that when Pd atoms aggregate at the center of the cluster and Ag atoms segregate to the surface, the Pd-Ag clusters are more stable.
An effective global search approach for extracting isomers of bimetallic clusters is crucial for investigating their properties. In previous research, a genetic algorithm was usually employed to search for stable structures of bimetallic clusters. Genetic algorithm is inspired on the Darwinian evolution process, which was first developed by Deaven et al.11. To obtain more isomers, the number of individuals of population should be enlarged as much as possible, but it also increases the computational time. Moreover, isomers of bimetallic clusters increase rapidly with increasing cluster size. For a AmBn bimetallic cluster with a given structure12, it has geometrical arrangements as many as (n + m)!/(n!m!). Extracting isomers from such a large number of clusters corresponding to all (n + m)!/(n!m!) geometrical arrangements is crucial to further study the properties of bimetallic clusters.
Molecular dynamic simulation is another effective method to search for stable structures of bimetallic clusters. In previous studies, the standard Velocity-Verlet algorithm was usually used during the molecular dynamic simulation, however, the main drawback of this algorithm is that the energy convergence is hard to be achieved and the energy convergence accuracy is also not high, which makes it difficult to obtain all possible isomers. Herein, we propose a modified standard Velocity-Verlet algorithm combined with molecular dynamics simulations, in order to quickly and accurately solve the energy convergence for optimizing the bimetallic cluster structure. On this basis, we develop an effective global sampling method for extracting isomers of bimetallic clusters. Using this method, we obtain the isomers of icosahedral PdxAg13−x (x = 0–13) clusters. We further optimize these structures and calculate their magnetic properties using the first-principle spin-polarized density functional theory (DFT) approach. The results show that all the isomers of PdxAg13−x retain well the icosahedron structure, and their magnetic moment exhibits regular change with elemental composition. Moreover, based on the calculations of the atom-projected density of states (PDOS) of Ag and Pd in the clusters, we provide an insight into the origin of the magnetic moments of PdxAg13−x.
Results and Discussion
Structure and electronic properties
In order to investigate the stability of the PdxAg13−x (x = 0–13) cluster, we calculated its binding energy, which is defined as:
where E(Pd), E(Ag) and E(PdxAg13−x) are the energy of the Pd atom, Ag atom and PdxAg13−x cluster, respectively. After extracting the icosahedral PdxAg13−x clusters, we obtained 164 clusters, half of which are clusters with a central Pd atom. All the icosahedral PdxAg13−x clusters still retain the icosahedron structure after DFT calculations. The binding energies of all the PdxAg13−x after DFT calculations are shown in Fig. 1(a). It is evident that when the Pd atom is at the center of the cluster, the binding energy is higher, indicating that the cluster is more stable. Here, we define the binding energy difference (ΔEb) of PdxAg13−x as the difference between the minimum binding energy of the clusters with a central Pd atom and the maximum binding energy of the clusters with a central Ag atom, which is also shown in Fig. 1(a). Noteworthy, the ΔEb value varies with x, and the smallest ΔEb value, 0.54 eV, appears at x = 5. The results shown in Fig. 1(b) reveal that the average bond length of PdxAg13−x decreases with increasing x value. The average bond length is shorter when the Pd atom is at the center of the cluster, indicating that the interaction between atoms is stronger.
To facilitate the following analysis, we define the A-B bond ratio in the cluster as the ratio of the A-B bond number to the total bond number (A = Pd, Ag; B = Pd, Ag). Evidently, the larger the Pd-Ag bond ratio is, the greater the degree of mixing of the two kinds of atoms is. To better understand the structure characteristics of the icosahedral PdxAg13−x clusters, we take Pd6Ag7 as an example to conduct a detailed analysis. PdxAg13−x has 30 isomers in total, and the binding energy and Pd-Ag bond ratio of all these isomers are compared in Fig. 2(a)–(c).
According to the value of the binding energy predicted from the Gupta potential, we labeled these isomers using the parameter N. A larger N value means that the binding energy is small. The data in Fig. 2(a)–(c) reveal that the clusters with a central Pd atom (N = 1–12) have much larger binding energy than the clusters with a central Ag atom (N = 13–30), indicating higher stability. As shown in Fig. 2(c), the Pd-Ag bond ratio increases with increasing binding energy, whether the atom at the center of the cluster is a Pd or Ag atom. This indicates that the cluster shows high stability if the Pd-Ag bond ratio becomes large.
The typical geometric structures for all the PdxAg13−x (x = 1–13), presented in Fig. 3, show that the structure with a central Pd atom has larger binding energy than the structure with a central Ag atom. In addition, for most Ag-Pd clusters, whether the central atom is Pd or Ag, the large Pd-Ag bond ratio is helpful to improve the binding energy. In other word, increasing the degree of mixing of the two kinds of atoms can enhance the stability of the Ag-Pd cluster.
In the icosahedral cluster, there are two kinds of geometric positions, namely the center position (whose coordination number is 12) and the surface position (whose coordination number is 6). The average bond length and bond ratio of Pd-Pd, Pd-Ag and Ag-Ag as a function of x for all the PdxAg13−x, are plotted in Fig. 4(a)–(f), respectively. For the Pd-Pd bond length and bond ratio (Fig. 4(a) and (b)), when the Pd atom is at the center of the cluster, its average bond length is obviously short while its bond ratio is generally large. Also, the Pd-Pd bond ratio gradually increases with increasing x value. Differently, compared with the clusters with central Pd atom, the average Ag-Ag bond length of the clusters with central Ag atom is slightly smaller and decreases sharply when x ≥ 9, as shown in Fig. 4(e). Moreover, the average Ag-Ag bond length of the clusters with central Pd atom displays no obvious difference when the x value changes. Also, the Ag-Ag bond ratio gradually decreases with increasing x value. However, as shown in Fig. 4(c) and (d), the situation is different for the Pd-Ag bimetallic cluster. For the cluster in which the Pd atom is at the center, when x ≤ 6 the average Pd-Ag bond length is generally short, while the Pd-Ag bond ratio is generally large, but when x ≥ 7 the average Pd-Ag bond length is generally large, while the Pd-Ag bond ratio is generally small. For the clusters with a central Ag atom, the average Pd-Ag bond length decreases sharply when x ≥ 9. Additionally, the Pd-Ag bond ratio gradually increases when x ≤ 6, and then decreases slowly when x ≥ 7.
According to the DFT calculations, the Pd-Pd interaction is much stronger than that of Ag-Ag (the binding energy of Pd13 is 2.324 eV/atom, while only 1.569 eV/atom for Ag13, as listed in Table 1). Moreover, according to the Gupta potential, Aij - Bij in Eq. (3) can reflect the interaction strength. Aij - Bij of Pd-Pd and Ag-Ag are −1.5304 eV and −1.0868 eV, respectively. However, Aij - Bij of Pd-Ag is −1.3990 eV, which is closer to that of Pd-Pd. Accordingly, we suggest that in the Pd-Ag cluster Pd-Pd is strongest, while Pd-Ag is much stronger than Ag-Ag. Whether the Ag or Pd atoms are at the center of the cluster, the binding energy (Fig. 1(a)) quickly increases with increasing x value when x ≤ 5, whereas it increases relatively slowly when x ≥ 5. This is because the Pd-Pd bond ratio always increases with increasing x value but the Pd-Ag bond ratio (Fig. 4(d)) clearly increases with increasing x value when x ≤ 5, whereas it gradually decreases when x ≥ 8.
For the Pd-Pd, Pd-Ag and Ag-Ag bonds (Fig. 4(b),(d) and (f), respectively), the bond ratio has no noticeable difference, whether the Ag atom or Pd atom is at the center of the cluster. When x = 1, the average Pd-Ag bond length of the cluster with a central Pd atom is clearly short and the Pd-Ag bond ratio is much higher compared with the clusters with a central Ag atom. In this case, the ΔEb is mainly caused by the Pd-Ag effect, as the Pd-Pd does not exist. In addition, we also notice that the Pd-Ag interaction is much stronger compared with the Ag-Ag interaction because the Pd-Ag bond ratio is clearly smaller than the Ag-Ag bond ratio.
The situation is different when x ≥ 2. On the one hand, the Pd-Ag effect sharply decreases because the average Pd-Ag bond length of the clusters with a central Pd atom displays no evident difference from that of the clusters with a central Ag atom. On the other hand, the Pd-Pd bond starts to appear, and the combined effect of the Pd-Pd and Pd-Ag will impact the stability of the cluster.
Regarding the Ag-Pd cluster in which a different atom is at the center, with increasing x value the difference of the average Pd-Pd bond length decreases when x ≤ 6 and increases when x > 6. Accordingly, ΔEb decreases first and then increases, but the minimum value of ΔEb is at x = 5 due to the gradual increase of the Pd-Pd bond ratio with increasing x value. Whether for Pd-Ag or for Ag-Ag, the average bond length of the clusters with a central Ag atom gradually decreases when x ≥ 8, so that ΔEb increases more slowly, and even decreases at x = 12. This illustrates again that the Pd-Ag interaction is much stronger. Accordingly, we suggest that a strong Pd-Ag interaction should be the reason that the cluster is more stable when the mixability of Pd and Ag atoms is high. In a nutshell, from Fig. 4(a)–(f) we suggest that the large ΔEb (Fig. 1(a)) and its variation are due to much stronger interaction between Pd atoms (Pd-Pd) and between Pd and Ag atoms (Pd-Ag) when the Pd atom is at the center of the cluster.
To further investigate the interactions between Ag and Pd atoms in PdxAg13−x, we plotted the PDOS of the most stable PdxAg13−x for each x value, as shown in Fig. 5. It is known that the ground state of the Ag atom is 4d 105 s 1. Thus, for Ag13, the s states are predominant near the Fermi level while the d states are far away from the Fermi level (E F ). In addition, the states near Fermi level evidently show that Ag13 has semiconductor property. However, for Pd13, the d states are predominant near the Fermi level because the ground state of Pd atom is 4d 10, and the cluster shows semi-metallic behavior. With the increase of the x value from zero, the amplitude of the states initially decreases and then increases, whilst the d states gradually move to the Fermi level.
Previous theoretical studies about the hybridization of Pd clusters have shown that the s-d hybridization is sensitive to the bond length6. In order to illustrate the hybridization in PdxAg13−x clusters, we calculate the ratio of the s-d, s-p, p-d and s-p-d states overlap area to total states areas of the PDOS below the Fermi energy, as shown in Fig. 6(b)–(e). The sum of the s-d, s-p and p-d states overlap area ratios is shown in Fig. 6(a). It is obvious that the hybridization strength becomes larger with increasing x value. The data in Fig. 6(a)–(e) also reveal that when the Pd atom is at the center of the cluster, the hybridization is stronger. Therefore, hybridization enhancement has a positive effect on the stability of the cluster compared with the binding energies of the clusters (Fig. 1(a)).
According to the results shown in Fig. 6(a)–(e), for the PdxAg13−x (x = 0–13) clusters, the s-d hybridization is predominant. Whether for the clusters with a central Pd atom or for the clusters with a central Ag atom, the s-d and s-p hybridization strength increase with increasing x value at the initial stage, but decreases to a certain extent when the x value gets close to x = 13. It is well known that the ground state of the Pd and Ag atoms are 4d 10 and 4d 105 s 1, respectively. In order to further understand the origin of the strong s-d hybridization in the Pd-Ag cluster, we calculate its local density of states (LDOS), which shows that when the x value is small the hybridization between Ag atoms (5 s orbital) and Pd atoms (4d orbital) is much stronger, for example, the LDOS of the most stable Pd2Ag11 shown in Fig. 7. However, when the x value is large, the electrons of the s state in the s-d hybridization are mainly from the 4d electron transitions of Pd atoms, because the number of Ag atoms is small and the d state of the Pd atoms is near the Fermi level compared with the PDOS of the Ag13 and Pd13 shown in Fig. 5. Thus, all the Pd-Ag clusters retain well their icosahedron structure after DFT optimization because of the strong Pd-Ag interaction resulting mainly from much stronger s-d hybridization.
Magnetic properties
The magnetic moment for all the icosahedral PdxAg13−x (x = 0–13) clusters are plotted in Fig. 8. For each x value, all the PdxAg13−x clusters almost have the same magnetic moment, except for two clusters, i.e., when x = 9 and x = 10. With increasing x value, the magnetic moment linearly decreases from 5.0 μB, until reaching zero at x = 5, and then linearly increases except for those two clusters.
To understand the variation of the magnetic moments of the present PdxAg13−x clusters, we calculate the area of PDOS below the Fermi energy (E F ), and consider it as the number of electrons (\({\int }_{-\infty }^{{E}_{F}}N(E)dE\)). The net magnetic moment is equal to the area difference of the PDOS between the spin-up and spin-down below the Fermi energy:
where N(E), N ↑(E), N ↓ (E) are the total, spin-up and spin-down densities of the states, respectively. Figure 9(a) presents the total Pd and Ag atomic magnetic moment as a function of the x value. It is clear that the magnetic moment mainly originates from Ag atoms when x < 5, while it originates from Pd atoms when x > 5. We also calculate the magnetic moments of s, p, d and total states for all the clusters, as shown in Fig. 9(b). When x < 5, the magnetic moment of the cluster mainly originates from s states, while the d states are the main contributors to the magnetic moment when x > 5. The average atom magnetic moment (Fig. 9(c) and (d)) evidently shows that the magnetic moment of Ag atoms mostly derives from the unpaired 5 s electrons, while the magnetic moment of Pd atoms mostly derives from the incomplete 4d-shell electrons.
In detail, hybridization causes the decrease in the number of unpaired 5 s electrons in Ag atoms, so that the unpaired 5 s electrons contribute to the magnetic moment. In addition, according to the data shown in Fig. 9(c), the s states and p states of Pd atoms almost do not contribute to the magnetic moment because the electrons of these states come from the 4d electrons transitions and mainly participate in hybridization. On the other hand, the ground state of Pd and Ag atoms all have complete 4d-shell electrons, and the transition of 4d electrons for enhancing hybridization results in incomplete 4d-shell. The electrons of the incomplete 4d-shell contribute to the magnetic moment according to Hund’s rules. Therefore, whether for Pd atoms or for Ag atoms, larger magnetic moment from the d states means more transitions of 4d electrons, referring to Fig. 9(c) and (d), respectively. Typically, for Ag13, the d state makes small contributions to the magnetic moment, indicating that much fewer 4d electrons transitions in Ag atoms. In contrast, for the Pd1Ag12 clusters, the 4d electrons transitions of Pd atoms are more evident compared with those of Ag atoms because the transition of the 4d electrons in Pd atoms is easier compared with that in Ag atoms.
According to the data in Fig. 9(c) and (d), whether for the s states of Ag atoms or for the d states of Pd atoms, their contributions to the magnetic moment gradually decreases with increasing x value up to x = 5. We suggest that in the Pd-Ag cluster, the unpaired 5 s electrons actually induce the transition of 4d electrons, especially for 4d electrons of Pd atoms. When x ≤ 5, the unpaired 5s electrons quickly decrease with increasing x value, while transitions of 4d electrons also decrease, and the magnetic moment is finally quenched at x = 5. When x ≥ 5, as shown in Fig. 9(b)–(d), the electrons of the s states almost make no contributions to the magnetic moment, and the magnetic moment derives mainly from the electrons of the d states of Pd atoms. Moreover, as shown in Fig. 7, there exists a strong 5s-4d hybridization between 4 s electrons of Ag atoms and 4d electrons of Pd atoms. Accordingly, we suggest that the 5s-4d hybridization between Ag and Pd atoms may also impact the magnetic moment of the Ag-Pd cluster.
Conclusion
By combining molecular dynamics simulations with a modified Velocity-Verlet algorithm, we have developed an effective global sampling method to extract isomers of bimetallic clusters. Using this method, we obtained isomers of icosahedral PdxAg13−x (x = 0–13) clusters, all of which retain well the icosahedron structure after DFT optimization because of strong Pd-Ag interaction, mainly from the much stronger s-d hybridization. When the Pd atom is at the center of the cluster, the PdxAg13−x is more stable, exhibiting higher binding energy and shorter average bond length. Whether for the clusters with a central Pd atom or for the clusters with a central Ag atom, the clusters are more stable if the degree of mixing of the Pd and Ag atoms is large, which is due to strong Pd-Ag interaction. There exists a large binding energy difference for Pd-Ag cluster because of the strong interaction between Pd atoms (Pd-Pd) and between Pd and Ag atoms (Pd-Ag) when the Pd atom is at the center of the cluster. PDOS calculations showed that the PdxAg13−x clusters roughly transformed from a semiconductor state to a semi-metallic state when the x value increased from 0 to 13. The icosahedral PdxAg13−x exhibited magnetic moment except when x = 5. When x < 5, the magnetic moment of the cluster mainly originates from s states, while the d states are the main contributors to the magnetic moment when x > 5. When x ≤ 5, the unpaired 5 s electrons quickly decrease with the increasing number of Pd atoms, while transitions of 4d electrons also decrease, so that the magnetic moment is quenched when x = 5. The hybridization has a negative effect on the magnetic moment of Ag atoms, but has positive effect on magnetic moment of Pd atoms.
Methods
Sampling method of bimetallic clusters with a given structure
For a given structural n-atom bimetallic AxBn−x cluster, there are n!/(x!(n−x)!) geometrical arrangements for each x. To rapidly extract isomers from all geometrical arrangements, we propose a modified Velocity-Verlet algorithm, which can make the cluster system converge rapidly and accurately. We combined this algorithm with molecular dynamics simulations to perform further optimization. By comparing the energy difference, we extracted all the isomers with given composition from the AxBn−x clusters. Each of the clusters corresponds to a point in energy axis. We extracted the most stable ones among the optimized clusters falling into each tiny energy interval, and considered them as isomers. All the isomers can be extracted, provided the energy interval is small enough. During the extraction of the icosahedral PdxAg13−x (x = 0–13) clusters, we applied the Gupta potential using the tight-binding scheme to calculate the energy of cluster10.
Gupta potential
The Gupta potential is a many-body characteristic potential, which contains a repulsive term Er(i) and an attractive term Ea(i). Energy of atom i can be expressed as:
where rij is the distance between atoms i and j, Rij is the equilibrium distance, parameters Aij, Bij, Pij, Qij and Rij depend on the type of bond, and these parameters for Pd-Ag, Pd-Pd and Ag-Ag are listed in Table 2.
Modified Velocity-Verlet algorithm
Both the force and energy will greatly change when the atomic distance is close to the equilibrium distance. During the molecular dynamics simulations for the clusters, a standard Velocity-Verlet algorithm is usually used13. If the time step is set too small, the simulations will consume massive computational time. However, if the time step is set too large, it will lead to irrational structure disruption. Therefore, we made two amendments to the standard Velocity-Verlet algorithm. Position and velocity of particle i can be calculated from the following formulas:
where m is the mass of the particle; F i(t) is the atomic force, which is an energy gradient F i(t) = −∇Ei(t). We replaced V i(t + Δt) by V i(t + Δt)·e−j·ETA at the end of each iteration, i.e.
where j is the present iteration, the modifying factor e−j·ETA can be regarded as the reflex of the damping effect, and ETA is a constant representing the intensity of the damping effect. A simple model of the damping effect can be expressed as:
where k is a constant. From Newton’s laws of motion, we obtain
In Eq. (6), e−k·Δt/m is a constant. However, the modifying factor e−j·ETA in Eq. (6) gradually enlarges the attenuation of velocity with the passage of time. It makes the system evolve in the former period by the standard Velocity-Verlet algorithm and converge in the end. On the other hand, we set a cut-off force (Fmax) to prevent irrational structure disruption caused by too large time step. However, we did not change the direction of force.
In order to test the reliability and accuracy of our modified Velocity-Verlet algorithm for the optimization of clusters, we chose the Pd6Ag7 cluster to carry out the calculations. The initial Pd6Ag7 cluster was constructed by directly substituting six Ag atoms with Pd atoms in an optimized icosahedral Ag13 cluster. We set ETA = 0.0001, Δt = 0.01, m = 1.0, and Fmax = 10 eV/Å. The iteration was set to 1000 and the initial velocities of all atoms were set to zero. We introduced them into Eqs (4–6). The ∑|Fi|, which is the sum of atomic absolute force before being cut off, is shown in Fig. 10(e). The binding energy and the average bond length of the cluster at different iterations, are plotted in Fig. 10(d) and (f), respectively. These values converge well when the iteration is more than 500, indicating that our modification can make the system converge rapidly and accurately. We also calculated these characteristic values using the standard Velocity-Verlet algorithm, as shown in Fig. 10(a)–(c). In comparison with Fig. 10(e)–(f), it is clear that our modified Velocity-Verlet algorithm can make the cluster converge more rapidly and accurately. The structures of Pd6Ag7 obtained by these two algorithms and subsequently optimized by DFT calculations are presented in Fig. 10(g) and (h). After optimization by DFT calculations, the final cluster structures generated by these two algorithms are almost the same, and both have the same average bond length (2.805 Å). In addition, the average bond length of Pd6Ag7 obtained by our modified algorithm is closer to the result from the DFT optimization. Furthermore, it can quickly tend to a stable value even if the DFT calculation time is greatly reduced. Thus, the above tests indicate that our modified algorithm is not only reliable, but also more efficient and more accurate than the standard Velocity-Verlet algorithm.
During the extraction of the icosahedral PdxAg13−x (x = 0–13) clusters, we directly substituted x Ag atoms with Pd atoms in the optimized icosahedral Ag13 cluster to obtain the initial structures of the clusters which have 13!/(x!(13–x)!) geometrical arrangements. All the molecular dynamics simulations are based on our modified Velocity-Verlet algorithm, whose parameters are ETA = 0.0001, Δt = 0.01, m = 1.0 and Fmax = 10 eV/Å. The initial velocities of all atoms were set to zero. The tiny energy interval and iteration were set as 0.0001 eV and 2000, respectively, which are sufficient to ensure the energy convergence accuracy and distinguish isomers of the Pd-Ag clusters.
Computational details of DFT calculations
Based on the optimized structures obtained by the modified molecular dynamics simulations, we performed further structural optimization using the first-principle spin-polarized DFT method. The Vienna ab initio simulation package (VASP) was used14 and the projector augmented wave (PAW) was implemented15, 16. The exchange-correlation functional was described by the Perdew, Burke, and Ernzerhof (PBE) functional within the generalized gradient approximation (GGA)17. The plane-wave basis was set with an energy cut-off of 550 eV. The equilibrium geometries are obtained when the atomic forces are smaller than 0.01 eV/Å and the total energy convergences are within 10−5 eV. All calculations were performed within a cubic box of 20 Å and using a single k point (Г point) for the Brillouin-zone (BZ) integration.
The accuracy of the DFT calculations was assessed by calculating Pd2 dimer, Ag2 dimer, Pd13 and Ag13 icosahedral clusters. For each of these clusters, our calculated average bond length, binding energy and magnetic moment agree well with previous computational values listed in Table 1, indicating that our calculated method in this work is reliable.
References
Rapallo, A. et al. Global optimization of bimetallic cluster structures. I. Size-mismatched Ag–Cu, Ag–Ni, and Au–Cu systems. J. Chem. Phys. 122, 194308 (2005).
Kim, H. G., Choi, S. K. & Lee, H. M. New algorithm in the basin hopping Monte Carlo to find the global minimum structure of unary and binary metallic nanoclusters. J. Chem. Phys. 128, 144702 (2008).
Hong, L. et al. Atomic structures and electronic properties of small Au–Ag binary clusters: Effects of size and composition. J. Comput. Theor. Chem. 993, 36–44 (2012).
Rao, Y., Lei, Y. M., Cui, X. Y., Liu, Z. W. & Chen, F. Y. Optical and magnetic properties of Cu-doped 13-atom Ag nanoclusters. J. Alloy. Comp. 565, 50–55 (2013).
Wang, J. L., Wang, G. H., Chen, X. S., Lu, W. & Zhao, J. J. Structure and magnetic properties of Co-Cu bimetallic clusters. Phys. Rev. B 66, 014419 (2002).
Mu, Y. W., Han, Y., Wang, J. L., Wan, J. G. & Wang, G. H. Structures and magnetic properties of Pdn clusters (n = 3–19) doped by Mn atoms. Phys. Rev. A 84, 053201 (2011).
Pereiro, M., Baldomir, D. & Arias, J. E. Unexpected magnetism of small silver clusters. Phys. Rev. A 75, 063204 (2007).
Chattaraj, D., Parida, S. C., Dash, S. & Majumder, C. Influence of U doping on the growth behavior, electronic structure and magnetic properties of Pd n (n = 1–12) clusters: a first principles study. Eur. Phys. J. D 68, 302 (2014).
Wu, X., Wu, Y. P., Kai, X. M., Wu, G. H. & Chen, Y. C. Structural optimization of Ag–Pd clusters based on different potential parameterizations. Chem. Phys. 390, 36 (2011).
Baletto, F., Mottet, C. & Ferrando, R. Growth simulations of silver shells on copper and palladium nanoclusters. Phys. Rev. B 66, 155420 (2002).
Deaven, D. M. & Ho, K. M. Molecular Geometry Optimization with a Genetic Algorithm. Phys. Rev. Lett. 75, 288 (1995).
Ferrando, R., Jellinek, J. & Johnston, R. L. Nanoalloys: From Theory to Applications of Alloy Clusters and Nanoparticles. Chem. Rev. 108, 845 (2008).
Groot, R. D. & Warren, P. B. Dissipative particle dynamics: Bridging the gap between atomistic and mesoscopic simulation. J. Chem. Phys. 107, 4423 (1997).
Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169 (1996).
Kresse, G. & Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 59, 1758 (1999).
Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953 (1994).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized Gradient Approximation Made Simple. Phys. Rev. Lett. 77, 3865 (1996).
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Nos 11134005, 11464038, 21403144), and the National Key Projects for Basic Research of China (Grant No. 2013CB922103). We are also grateful to the High-Performance Computing Center of Nanjing University for performing the numerical calculations in this work.
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B. Fan performed all the calculations. G.X. Gui and C.H. Jiang provided valuable helps on calculation processing. J.G. Wan planned and supervised the study. B. Fan wrote the paper and J.G. Wan revised and finalized the manuscript. G.H. Wang gave valuable suggestions for improving the work. All authors participated in the data analysis and discussion.
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Fan, B., Ge, GX., Jiang, CH. et al. Structure and magnetic properties of icosahedral PdxAg13−x (x = 0–13) clusters. Sci Rep 7, 9539 (2017). https://doi.org/10.1038/s41598-017-10184-6
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DOI: https://doi.org/10.1038/s41598-017-10184-6
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