Literature DB >> 31460369

Tuning the Catalytic Activity of Pd x Ni y (x + y = 6) Bimetallic Clusters for Hydrogen Dissociative Chemisorption and Desorption.

Shuangxiu Ma1, Shunxin Fei1, Liang Huang2, Robert C Forrey3, Hansong Cheng1.   

Abstract

Density functional theory was used to study dissociative chemisorption and desorption on Pd x Ni y (x + y = 6) bimetallic clusters. The H2 dissociative chemisorption energies and the H desorption energies at full H saturation were computed. It was found that bimetallic clusters tend to have higher chemisorption energy than pure clusters, and the capacity of Pd3Ni3 and Pd2Ni4 clusters to adsorb H atoms is substantially higher than that of other clusters. The H desorption energies of Pd3Ni3 and Pd2Ni4 are also lower than that of the Pd6 cluster and comparable to that of the Ni6 cluster, indicating that it is easier to pull the H atom out of these bimetallic catalysts. This suggests that the catalytic efficiency for specific Pd x Ni y bimetallic clusters may be superior to bare Ni or Pd clusters and that it may be possible to tune bimetallic nanoparticles to obtain better catalytic performance.

Entities:  

Year:  2019        PMID: 31460369      PMCID: PMC6681985          DOI: 10.1021/acsomega.9b01360

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

The catalyzed chemical reactions of transition metals are important industrial processes and have been studied both theoretically and experimentally for years.[1−4] Nickel family metals, including platinum, palladium, and nickel, are three of the most efficient catalysts. Palladium and platinum catalysts have been utilized in chemical processes such as reduction, hydrogenation, and oxidation.[5−13] The hydrides of nickel family metals have been used for applications in fuel cells, batteries, and hydrogen purifications,[14−17] and platinum is known to be an especially efficient catalyst for the hydrogen dissociation process.[18] It is widely recognized that chemical reactions occur at the defect sites and sharp corners of catalysts,[19−21] and the size of the metal catalytic particles varies from nanoscale to mesoscale.[6,22,23] Many studies have demonstrated that nanosized catalytic particles are more chemically active than their corresponding bulk counterparts.[5] Single crystalline surface models at low H coverage have been employed to represent catalyst surfaces in many theoretical studies.[24,25] The structures of small metal clusters have been widely studied both experimentally[26−30] and theoretically.[31−39] Computationally, rigorous quantum mechanical modeling on PdNi bimetallic catalyst nanoparticles with a realistic size is prohibitively difficult for the following reasons: (1) the catalyst nanoparticles usually contain thousands of atoms, (2) there are a large number of structural configurations for a given size of nanoparticle, and (3) there are numerous unpaired d-electrons in the nanoparticles. We thus choose a given size subnano cluster to represent the PdNi bimetallic catalyst. Though such an unrealistically small cluster size may not adequately represent the detailed structures and properties of an actual PdNi catalyst nanoparticle, it does allow for a systematic study which may demonstrate the catalytic process well enough to provide useful insights into the mechanisms. Such a subnano cluster model has been shown to be capable of providing useful information on the catalytic properties.[13,40−42] The surface of a realistic catalyst is expected to be fully covered by either molecular or atomic hydrogen when the pressure is constantly maintained. Consequently, the catalytic performance of hydrogenation is critically dependent on how easily an H2 molecule dissociates and how fast an H atom desorbs from a fully saturated surface. In our previous work of sequential H2 dissociative chemisorption on small clusters,[45,51,53] we found that some of the most fundamental properties of catalytic particles (the dissociative chemisorption energy of H2 and the desorption energy of H atoms at full H coverage) do not change significantly with particle size at full saturation of H atoms. Therefore, we perform density functional theory (DFT) calculations on H adsorption on PdNi clusters at high coverage. The hydride formation of small Pt,[45,46] Pd,[47−50,53] and Ni[51] clusters has been systematically studied. The properties of the different metal clusters can vary considerably even within the same family of the periodic table, and the interactions between these metals and hydrogen may be considerably different.[45−49,52] For example, the edge sites were identified as the most energetically favorable binding sites for H atoms on Ni clusters,[51] whereas both the hollow and edge sites are preferred on Pd clusters.[45,47−49,53] Another study indicated that the interaction between hydrogen and Pd clusters on nanoporous carbon materials can significantly enhance the H adsorption capacity of nanoporous carbon.[44] The hydride structures and vibrational spectra of Ni clusters calculated by Swart et al.[54] indicated that Ni clusters can accommodate more H atoms than other transition-metal clusters of the same size in the same row of the periodic table.[55] Additionally, the charge on the cluster can also influence the reactivity of the transition-metal catalysts.[56] Although noble metal catalysts like Pt or Pd are highly active in the dissociative chemisorption and desorption processes, they are not substantial when compared to Ni and may not justify the higher cost associated with the limited availability of the precious metals. Furthermore, some studies have noted that the alloying design can be an effective method to improve the catalytic process.[40,57,58] Hence, the introduction of Ni into a pure Pd cluster may improve the catalytic performance and reduce the cost simultaneously. In addition to the theoretical studies on monometallic clusters like Pt, Pd, and Ni mentioned above, there have been studies of some noble bimetallic clusters like Au/Pd[43] and some bimetallic clusters of transition metals like Fe/Cr clusters and Al/Rh clusters.[40] These studies mainly focus on the stability, electronic structures,[59−61] and growth behavior.[62] The selectivity of dehydrogenation of organic molecules on transition-metal oxides[63] and nitrides[64] suggested that the composition can influence both the activity and selectivity of catalysts. However, the processes of hydrogen adsorption and desorption on PdNi bimetallic clusters with various compositions have not been systematically investigated. In this paper, we conducted a systematic DFT study of hydride formation of small PdNi bimetallic clusters at a given size (in the current study, x + y = 6), with the purpose of understanding the activity of the catalytic process of these clusters with H2. The key properties, including H2 dissociative chemisorption energy, the barrier energy of migration of H atoms on the clusters, H atom desorption energy, and the maximum capacity for accommodating H atoms are systematically addressed. The findings in this study could provide useful insights into the catalytic performance of the bimetallic clusters of Ni family and shed light on the design of low-cost bimetallic nanoparticle catalysts.

Computational Details

All calculations were performed using DFT/generalized gradient approximation with the Perdew–Burke–Ernzerhof exchange–correlation functional as implemented in the DMol3 package.[65,66] The electronic structure calculations were carried out using a spin-polarization scheme to deal with the open-shell systems inherent to Ni and Pd atoms. A double numerical basis set augmented with polarization functions was used to describe the valence electrons and an effective core potential was employed to represent the core electrons,[67,68] as the valence electrons can determine the molecules’ chemical properties and the basic functions in Dmol3 are numerically exact atomic orbitals rather than analytical functions. It has been shown that the quality of this basis set gives rise to very little superposition effects.[69] The Mulliken population division scheme was used to analyze the charge transfer between atoms.[69] The method used in the present study has been shown to be capable of providing accurate structures and cohesive energies of transition-metal elements in good agreement with the available experimental values.[45,51,53] All structures were fully optimized without symmetry constraints, and the conjugated gradient algorithm was employed to search for energetically most stable structures. For the clusters with a given size, a thorough search for minimum energy structures was conducted. A DFT-D method of Tkatchenko and Scheffler[70] was tested in our calculations. We found that the influence of dispersion corrections on the final optimized structures and the energy change for chemisorption and desorption energies were negligible. The structure search for the transition state (TS) for H2 on a Pd3Ni3 cluster was done to gain insight into the barriers of H2 dissociative chemisorption kinetics and for H atom dispersal in the cluster using the linear synchronous transit/quadratic synchronous transit method.[71] The TS structure was verified by normal mode analysis that gives only one imaginary frequency. The average formation energy (ΔEFE) of a cluster containing x Pd and y Ni atoms can be calculated usingwhere E(Ni) represents the energy of the Ni atom, E(Pd) represents the energy of the Pd atom, and E(NiPd) represents the energy of the clusters. The dissociative chemisorption energy of H2 and the desorption energy of H atoms at full H coverage are of vital importance for catalytic hydrogenation, as they determine how easily an H2 molecule dissociates into and how fast an H atom desorbs from a fully H-saturated catalyst.[53] The dissociative chemisorption energy of H2 was calculated using the following equationwhere n is the number of H atoms on the cluster, E(PdNiH) is the energy of the cluster with H atoms, and E(H2) is the energy of H2. A realistic catalytic hydrogenation process is usually done at a hydrogen pressure that maintains full or nearly full coverage of the catalyst surfaces. Therefore, to evaluate the performance of a metallic catalyst, one needs to examine the hydrogen desorption energy from the cluster fully saturated by H. We note that H atoms are normally released sequentially rather than simultaneously. Hence, the dissociative chemisorption energy is not the energy required to desorb an H atom from the cluster. In the present study, we compared the desorption energies of different clusters fully saturated with H atoms using the following equationwhere E(H) is the energy of the H atom and n represents the number of H atoms when the cluster is fully saturated. To verify whether a cluster is fully covered by H atoms, we performed room-temperature ab initio molecular dynamics (AIMD) simulations on the clusters deemed to be saturated for 3 ps in an NVT canonical ensemble using the Nosé–Hoover thermostat[72,73] for temperature control. Excessive H atoms on the clusters will recombine to form H2 molecules weakly associated with the cluster upon the MD run.[13]

Results and Discussion

The objective of the present study is to understand the catalytic properties of Pd/Ni bimetallic clusters with various compositions. Our previous study on bare Ni and Pd clusters indicated that when the cluster size is larger than six atoms, the change of the average formation energy is relatively small.[51] Therefore, we chose PdNi clusters that contain six atoms (x + y = 6) as a representative cluster model. For a given size of cluster, there are numerous isomeric configurations for the cluster structures with various compositions. To identify the lowest energy structure of a bare PdNi cluster, we performed extensive structural optimizations to obtain the closest stable geometric configuration. Figure shows the calculated lowest energy structures with their average formation energies and the electron density difference of the clusters with different compositions. It reveals that the formation energy increases with the formation of PdNi alloy clusters, and Ni4Pd2 possesses the highest formation energy. Therefore, PdNi bimetallic clusters are more stable than Ni6 or Pd6 monometallic clusters. The electron density difference and Mulliken charge analysis (as shown in Figure ) indicate that the electron density of Pd atoms is higher than that of Ni atoms in PdNi bimetallic clusters because of the electron transfer from the Ni atoms to the neighboring Pd atoms, which is consistent with the fact that the electronegativity value of Ni (1.91) is relatively lower than that of Pd (2.20). As expected, the d-band center decreases gradually with the number of Pd atoms in PdNi bimetallic clusters (−3.42 eV of Ni6, −3.61 eV of Ni5Pd, −3.69 eV of Ni4Pd2, −3.83 eV of Ni3Pd3, −4.00 eV of Ni2Pd4, −4.08 eV of NiPd5, and −4.31 eV of Pd6). The stability of PdNi clusters and the charge distribution on PdNi clusters may significantly influence their capability to interact with hydrogen.
Figure 1

Optimized lowest energy geometries of the bare PdNi clusters (x + y = 6) with Mulliken charge distribution, calculated electron density difference between a cluster and isolated atom, and the average formation energy.

Optimized lowest energy geometries of the bare PdNi clusters (x + y = 6) with Mulliken charge distribution, calculated electron density difference between a cluster and isolated atom, and the average formation energy. The structures with the maximum formation energy of PdNi clusters were chosen among their isomers for the study of H2 chemisorption process. In the beginning of the chemisorption process, the H2 molecule approaches the top sites of PdNi clusters. Typically, there are two positions (Ni atom on the top sites and Pd atom on the top sites) that can accommodate the H2 molecule. The calculated chemisorption structures of H2 on PdNi clusters with the lowest energy and their dissociative chemisorption energies are shown in Figure . The dissociative chemisorption energies changed with the compositions of PdNi clusters. The bimetallic clusters tend to have higher chemisorption energies, suggesting that the bimetallic clusters are more readily able to absorb and dissociate H2 than the pure Ni6 or Pd6 clusters.
Figure 2

Calculated structures and chemisorption energies of Ni (blue) and Pd (yellow) top sites of different clusters.

Calculated structures and chemisorption energies of Ni (blue) and Pd (yellow) top sites of different clusters. Although the H2 chemisorption on the top sites of PdNi clusters is exothermic, it is not the most stable chemisorption configuration. The H atoms exhibit high mobility in the hydride complex, and they can easily diffuse to the twofold edge or threefold hollow sites. Figure shows a detailed analysis of this process for an octahedral Pd3Ni3 cluster. Initially, the H2 molecule approaches the cluster from the on-top site (R1) and undergoes dissociative chemisorption via the transition state (TS1) with a small barrier of 0.10 eV. This leads to H adsorption on two neighboring edges (P1) with an energy of −0.77 eV, which is the minimum energy structure for this octahedral cluster. However, the H atoms can further diffuse to other adsorption sites (e.g., from P1 to P2) with a relatively small barrier (TS2), indicating that H2 dissociative chemisorption and H diffusion processes are facile. A slightly larger barrier (TS3) between P2 and P3 is also shown in the figure. The small barrier of H2 dissociative chemisorption on bimetallic clusters and the highly favorable reaction energies show that this process is thermodynamically controlled, and the small diffusion barrier suggests that H migration on the bimetallic cluster of Ni family is facile.
Figure 3

Calculated energy diagram of dissociative chemisorption of an H2 molecule and the subsequent migration of the H atoms on the Pd3Ni3 octahedral cluster.

Calculated energy diagram of dissociative chemisorption of an H2 molecule and the subsequent migration of the H atoms on the Pd3Ni3 octahedral cluster. The desorption energy of H on metal clusters at full saturation is a chemical quantity of vital importance, for it can indicate the catalytic activity. Therefore, we considered the sequential loading of H2 until the cluster is fully saturated with H atoms. In the process of H2 dissociative chemisorption on the bimetallic metal cluster, the edge sites are populated at low H coverage. As the H loading increases, some hollow sites and on-top sites are also occupied. The saturation was checked by performing ab initio MD runs at 300 K to ensure that all the H atoms are chemisorbed. Figure displays the radial distribution of the H–H distance of Pd3Ni3–H16 and Pd3Ni3–H18 clusters and shows that the H atoms in Pd3Ni3–H16 are well separated by at least 2.0 Å. However, the top panel of the figure shows a peak at approximately 0.8 Å, indicating that an H2 molecule was formed. Therefore, the saturation limit is 16 H atoms for this bimetallic cluster. To consider the entropic contributions and further verify the result of AIMD, we calculated the free energy for the formation of Pd3Ni3–H16 (Pd3Ni3 + 8H2Pd3Ni3–H16) and Pd3Ni3–H18 (Pd3Ni3 + 9H2Pd3Ni3–H18) clusters at 300 K. The results showed that ΔG for the formation of Pd3Ni3–H16 is −25.1 kcal/mol and that ΔG turned to a positive value (3.1 kcal/mol) when the loading of H atoms increased to 18, indicating that the Pd3Ni3 cluster is unable to absorb one more H2 molecule spontaneously after reaching the maximum capacity. A previous study[51] revealed that most of the Ni–H bond distances in Ni hydrides are between 1.6 and 1.7 Å, which are slightly shorter than the Pd–H bond distances (1.7–1.8 Å) in Pd hydrides. For the PdNi bimetallic clusters that we studied, both the Pd–H and Ni–H bond distances are within the range of 1.6–1.8 Å, which is consistent with the pure Ni or Pd clusters.
Figure 4

Calculated H–H distance distribution g(r) of Pd3Ni3–H16 and Pd3Ni3–H18 clusters. g(r) was obtained by tabulating all the H–H distances at each step of the AIMD trajectories fit with Gaussian functions.

Calculated H–H distance distribution g(r) of Pd3Ni3–H16 and Pd3Ni3–H18 clusters. g(r) was obtained by tabulating all the H–H distances at each step of the AIMD trajectories fit with Gaussian functions. The optimized structures of the fully H-saturated PdNi clusters (x + y = 6) and desorption energies are shown in Figure . When the number of Pd atoms is high, the hollow sites are more favorable than the edge sites. With the increase of Ni atoms, the favorable sites change from the threefold hollow sites to the edge sites. When the number of Pd and Ni is close, the clusters (Pd3Ni3, Pd2Ni4) can load two more H atoms (n = 16), compared to Ni6, Pd6, and other PdNi clusters (n = 14). After the 12 edges of the Pd3Ni3 and Pd2Ni4 clusters are occupied, there are four opposite on-top sites that are available for another four H atoms. It appears that the charge transfer from Ni atoms to the neighboring Pd atoms could make the on-top site load more H atoms.
Figure 5

Optimized geometries of the fully saturated structures with minimum energies and the desorption energy when the first H atom was released.

Optimized geometries of the fully saturated structures with minimum energies and the desorption energy when the first H atom was released. The calculated maximum formation energy of clusters, the H2 dissociative chemisorption energy, maximum H capacity, and the H desorption energy on PdNi (x + y = 6) clusters are shown in Figure . The maximum formation energy of clusters reveals that the PdNi alloy clusters possess higher formation energies than their pure cluster counterparts (Figure a), indicating they are more capable of maintaining their configuration when they undergo the sequential H2 loading process. The H2 dissociative chemisorption energies ΔECE vary in a small energy range from 0.35 to 0.78 eV. Figure b shows that Pd3Ni3 and Pd4Ni2 have higher H2 dissociative chemisorption energies than other PdNi clusters. Figure c shows the number of H atoms when the cluster is fully saturated. The Pd3Ni3 and Pd2Ni4 clusters can accommodate two more H atoms than the pure Pd and Ni clusters. The calculated H atom desorption energies ΔE(DE) at full saturation of the metal clusters vary within the range of 2.06–2.68 eV (Figure d). The highest H desorption energy is observed for Ni5Pd1, which is slightly higher than other clusters. When the number of Pd and Ni atoms is similar, for example, Pd3Ni3 and Pd2Ni4, the H desorption energies are lower than that of other clusters, indicating that it is easier to pull the H atom out of an appropriately tuned bimetallic catalyst. From the above analysis, we may conclude that bimetallic clusters with specific constitution (e.g., Pd3Ni3 and Pd2Ni4) have higher H2 dissociative chemisorption energies, lower H desorption energy, and larger capacity of H atoms, which could lead to their better catalytic performance.
Figure 6

Comparison on (a) maximum formation energy, (b) H2 dissociative chemisorption energy, (c) maximum H capacity, and (d) H desorption energy of small Ni, Pd, and PdNi (x + y = 6) bimetallic clusters.

Comparison on (a) maximum formation energy, (b) H2 dissociative chemisorption energy, (c) maximum H capacity, and (d) H desorption energy of small Ni, Pd, and PdNi (x + y = 6) bimetallic clusters.

Summary

We used DFT to study the chemical properties of subnano PdNi bimetallic clusters for x + y = 6. In general, bimetallic clusters have higher average formation energies and chemisorption energies than their pure cluster counterparts, which make them more stable and effective absorbers of hydrogen. The lower desorption energies make the H atoms facile to be pulled off from the surface of the clusters, which could lead to a higher catalytic activity for hydrogenation than that of the pure Pd or Ni clusters.[51] The charge transfer from Ni to Pd increases the H capacity of Pd3Ni3 and Pd2Ni4 clusters by two atoms compared to pure Pd6 and Ni6 clusters. This represents a 14% increase for these bimetallic clusters, which is expected to scale with the cluster size.[51] Our findings show that the bimetallic clusters can have better catalytic performance than the pure clusters and may provide useful insights for tuning the component and interaction between the different metals in the design of alloy catalysts.
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