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Article

Electronic Properties and CO2-Selective Adsorption of (NiB)n (n = 1~10) Clusters: A Density Functional Theory Study

1
College of Engineering, Hebei Normal University, Shijiazhuang 050024, China
2
Hebei Provincial Innovation Center for Wireless Sensor Network Data Application Technology, Shijiazhuang 050024, China
3
Hebei Provincial Key Laboratory of Information Fusion and Intelligent Control, Shijiazhuang 050024, China
4
Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, School of Chemistry and Chemical Engineering, Yulin University, Yulin 719000, China
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(14), 5386; https://doi.org/10.3390/molecules28145386
Submission received: 5 June 2023 / Revised: 7 July 2023 / Accepted: 12 July 2023 / Published: 13 July 2023
(This article belongs to the Collection Green Energy and Environmental Materials)
Figure 1
<p>Ground-state (NiB)<sub>n</sub> cluster structures depicting the geometry evolution from linear (<span class="html-italic">n</span> = 1), to planar (<span class="html-italic">n</span> = 2, 3), to 3D (<span class="html-italic">n</span> = 4~10). (a): <span class="html-italic">n</span> = 1~5; (b): <span class="html-italic">n</span> = 6~10. Blue and green spheres depict Ni and B atoms, respectively.</p> ">
Figure 2
<p>Binding energy (<span class="html-italic">E</span><sub>b</sub>, in eV) and the highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap (<span class="html-italic">E</span><sub>g</sub>) of (NiB)<sub>n</sub> (<span class="html-italic">n</span> = 1–10) clusters.</p> ">
Figure 3
<p>The distance and adsorption energy of CO<sub>2</sub> adsorption on (NiB)<sub>n</sub> clusters.</p> ">
Figure 4
<p>Relaxed local geometric structures for CO<sub>2</sub> adsorbed on (NiB)<sub>n</sub>. Brown and red spheres depict C and O atoms, respectively. All lengths are given in Å.</p> ">
Figure 5
<p>Charge difference of the adsorption of CO<sub>2</sub> on (NiB)<sub>n</sub>. The yellow cloud indicates electron depletion, while the blue indicates accumulation. The iso-surface is 0.0003 e/Å<sup>3</sup>. Δq stands for the total charge of CO<sub>2</sub> molecule and is given in e. Negative means charge obtainment.</p> ">
Figure 6
<p>Selective adsorption of CO<sub>2</sub> over N<sub>2</sub> on different (NiB)<sub>n</sub> surfaces. Black squares and magenta circles refer to the Δ<span class="html-italic">E</span><sub>ads</sub> CO<sub>2</sub> and N<sub>2</sub> adsorption, respectively.</p> ">
Figure 7
<p>T–P phase diagram of CO<sub>2</sub> adsorption on (NiB)<sub>n</sub> (<span class="html-italic">n</span> = 4–10).</p> ">
Figure 8
<p>T–P phase diagram of the CO<sub>2</sub> adsorption over N<sub>2</sub> on (NiB)<sub>n</sub>.</p> ">
Figure 9
<p>Projected density of states (PDOS) analysis for the adsorption of CO<sub>2</sub> and N<sub>2</sub> on the (NiB)<sub>10</sub> surface.</p> ">
Figure 10
<p>Projected density of states for CO<sub>2</sub> on (NiB)<sub>4</sub> and (NiB)<sub>10</sub> (<b>a</b>,<b>b</b>). (<b>c</b>) is the Ni atom close to CO<sub>2</sub> in (NiB)<sub>10</sub>. The Fermi level is set to 0 eV.</p> ">
Versions Notes

Abstract

:
In this study, we investigated the electronic properties and selective adsorption for CO2 of nickel boride clusters (NiB)n, (n = 1~10) using the first principles method. We optimized the structures of the clusters and analyzed their stability based on binding energy per atom. It was observed that (NiB)n clusters adopt 3D geometries from n = 4, which were more stable compared to the plane clusters. The vertical electron affinity, vertical ionization energy, chemical potential, and highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap were calculated. Our results revealed that (NiB)6 and (NiB)10, with high chemical potential, exhibit a higher affinity for CO2 adsorption due to a charge delivery channel that forms along the Ni→B→CO2 path. Notably, (NiB)10 demonstrated a more practical CO2 desorption temperature, as well as a broader window for the selective adsorption of CO2 over N2. The density of states analysis showed that the enhanced CO2 adsorption on (NiB)10 can be attributed to the synergistic effect between Ni and B, which provides more active sites for CO2 adsorption and promotes the electron transfer from the surface to the CO2 molecule. Our theoretical results imply that (NiB)10 should be a promising candidate for CO2 capture.

1. Introduction

The issue of global climate change caused by human activities such as fossil fuel consumption and deforestation has become a major concern in the 21st century. The concentration of greenhouse gases, especially CO2 [1], has increased dramatically, leading to global warming [2,3]. Although CO2 has a lower global warming potential (GWP) than other greenhouse gases like N2O and CH4, it is thought to considerably contribute to the global greenhouse effect owing to its abundance in the atmosphere. As a result, a significant amount of scientific effort, such as energy efficiency improvement, energy demand reduction, use of renewable energy, electrochemical reduction [4,5], direct hydrogenation of CO2 into formic acid, methane, methanol or other chemicals [6,7], and CO2 capture and storage [8,9,10], has been concentrated into reducing or controlling the concentration of CO2. One of the most important research topics is the separation, storage, and recovery of CO2, as it is a reactant in significant industrial processes and a greenhouse gas that contributes to global warming [11]. An ideal CO2 sorbent should meet several requirements, including high capacity and selectivity, rapid adsorption/desorption kinetics, and good chemical stability [12].
In recent years, Ni-based materials have received a lot of interest due to their low cost and availability for CO2 capture and activity. Roque-Malherbe et al. [13] synthesized Ni–, Zn–, and Cd–nitroprussides, and studied the interactions with CO2 molecules. The results showed that Ni–nitroprussides are excellent for CO2 storage. However, the accumulation of carbonaceous deposits on the surface of Ni-based catalysts can lead to deactivation [14,15], which eventually blocks the active sites. To address this issue, many attempts have been made with various methods and materials to inhibit the accumulation of carbonaceous deposits [16,17,18,19]. One promising approach is the addition of a small amount of boron to enhance the activity of Ni-based catalysts. First-principle studies suggested that the addition of a small amount of boron can enhance the activity of Ni-based catalysts. Xu and Sayes proposed that boron atoms can effectively block carbon diffusion into nickel lattice by preferentially occupying octahedral sites of the first subsurface layer [20,21]. Experimental studies support this hypothesis. Xu et al. [22] investigated the impact of boron addition on the stability and activity of Ni catalysts used for the steam-reforming of methane. Their results indicate that the catalytic activity of boron-modified catalysts declines with time-on-stream, but less carbon is formed compared to the unpromoted catalyst. Fouskas et al. [17] employed the wet co-impregnation synthesis method to simultaneously deposit Ni and B precursors on the alumina carrier. They demonstrated that B can greatly enhance the resistance to carbon deposition due to its ability to decrease the size of Ni particles. Shakir et al. [23] found that the presence of B facilitated the formation of Ni–B species along with metallic Ni, controlled the particle size and stabilized the metallic state, and influenced the Ni–C interaction, leading to the advancement in catalytic performance and diminution in deactivation.
Ni and B can generate different Ni–B binary compounds. Shein et al. [24] calculated the lattice constant, magnetic properties, and formation energy of Ni3B, which indicated that the strong stability of Ni3B was due to the strong Ni–B hybridization. Zhou et al. [25] researched the electronic structure and mechanical properties of NiB. However, there is no literature on the structure and electronic property of the NiB cluster and its availability for CO2 capture and activity.
To summarize, the development of efficient and effective CO2 sorbents is crucial for reducing the concentration of greenhouse gases and mitigating the effects of global climate change. Ni-based materials, especially those modified with boron, have shown great potential for CO2 capture and activity. In our research, we conducted a comprehensive investigation on the structures, electronic properties, CO2 adsorption, and activities of NiB clusters of various sizes using first-principles calculations. The obtained results could provide guidance for the properties of Ni-based material for CO2 adsorption and activity, which could play a crucial role in mitigating the effects of global climate change.

2. Results

2.1. Geometrical Structures of Clusters

To begin, we constructed and optimized the lowest-energy structures of the most stable (NiB)n (n = 1~10) clusters. The resulting ground states of the (NiB)n (n = 1~10) are visible in Figure 1. For (NiB)1, the ground-state structure is linear. The bond length and the binding energy for NiB dimer is 1.68 Å and −7.13 eV/atom, respectively. For (NiB)2, a rhombus structure with four bonds of 1.81 Å is obtained as the ground-state structure. In the case of n = 3, it is observed that the planar structure exhibits an inner Ni atom triangle, which is nearly equilateral, with a bond length of 1.80 Å. For n = 4–10, (NiB)n clusters adopt 3D configurations, with a bond of ca. 1.95 Å. Clusters (n = 4, 5, 6, 8) are especially the most symmetric.
Next, we turn to the electronic properties of these (NiB)n clusters. The data reported in Figure 2 show that the binding energy per atom (Eb) exhibits an asymptotic behavior. In this figure, it is observed that beyond the 8-atom cluster (n = 4), the value of Eb increases slowly as the cluster size increases. The exponential fitting for (NiB)n (n = 4~10) gives E b = 0.3557 ln n 1.065 , and R2 value of 0.994. This trend is rationalized by noticing that the average number of nearest neighbors grows with cluster size, thus increasing the number of atomic interactions [26]. Remarkably, this nuclearity represents the size after which the clusters change from planar to 3D. Therefore, Figure 2 depicts the stabilization toward 3D structures [27].
In addition to the findings discussed in the previous paragraph, the study also calculated the VIE and VEA for each size cluster (Table 1). The results show that the (NiB)n cluster has a tendency to donate an electron, as indicated by the positive VIE and VEA [28,29]. The VIE and VEA values were also used to determine the global reactivity descriptors (GRDs) [30,31], with the most widely used parameter being μ. The μ value reflects the escaping tendency of an electron, with higher values indicating greater reactivity [30]. The low μ values of (NiB)n (n = 1–3) clusters indicate their low reactivity. This is consistent with their low chemical potential. Additionally, these cluster sizes exhibit high band gap energies (Eg), as shown in Figure 2, while for (NiB)n clusters with n > 4, the band gap energies are lower. Consequently, these clusters may exhibit higher reactivity compared to (NiB)n (n = 1–3) clusters. The band gap reflects the possibility of electrons to jump from occupied to unoccupied orbitals. Based on the high Eg and low μ value, clusters n = 1–3 are identified as least reactive in the series presented here. Therefore, this paper only focuses on the (NiB)n structures n = 4–10.

2.2. CO2 Adsorption

This passage focuses on the physisorption of CO2 molecules on different (NiB)n surfaces. The initial placement of all CO2 molecules was at a distance of 2.5 Å above the surface, to simulate the physisorption process. As shown in Figure 3, (NiB)10 has the highest chemical potential and possesses the highest activity for CO2 adsorption compared to all the structures studied, followed by (NiB)6. Furthermore, it is also found that the distance between CO2 and the surface (Figure 3) is highly correlated with the adsorption energies. CO2 tends to adsorb at the top of Ni instead of B (Figure 4), except adsorption on (NiB)8, which illustrates that CO2 should preferably obtain electrons from the Ni atoms rather than B atoms in the cluster. For CO2 adsorption on (NiB)8, CO2 binds to B instead of Ni due to the spherical-like structure of (NiB)8, which creates a more exposed or accessible surface for B atoms at the top.
The local structures and charge differences for different adsorption complexes are shown in Figure 5. Compared with other complexes, CO2 molecules obtain additional electron from the unsaturated Ni atom of (NiB)6 and (NiB)10 (Figure 5c,g). Thus, the adsorption enhancement by the two surfaces is reasonable. Most importantly, (NiB)10 is determined to be the most active for CO2 adsorption by its largest ΔEads (−0.24 eV) and with the most charges transferred to CO2 (Δq = −0.027 e). As per Figure 5g, a charge delivery channel forms along the Ni→B→CO2 path, which provides more electrons traveling from the surface to CO2 molecules. The channel is strengthened in the order of (NiB)4 < (NiB)5 <(NiB)8 < (NiB)9 < (NiB)7 < (NiB)6 < (NiB)10, in accordance with the adsorption energy. This suggests that the charge delivery channel along the Ni→B→CO2 path is the key factor that contributes to the strong adsorption capacity of (NiB)10 for CO2. The charge delivery channel provides a pathway for the transfer of electrons from the cluster to the CO2 molecule, which enhances the CO2 adsorption. The results suggest that the synergistic effect between Ni and B provides more active sites for CO2 adsorption and promotes the electron transfer from the surface to the CO2 molecule. The larger cluster size leads to a higher adsorption energy for CO2, which is attributed to the formation of the charge delivery channel along the Ni→B→CO2 path. These findings have important implications for the design of efficient sorbents for CO2 capture and separation, which is crucial for mitigating the negative impacts of greenhouse gas emissions on the environment.

2.3. Adsorption Selectivity over N2

In addition to the remarkable CO2 adsorption activity, an effective adsorbent should control selectivity over other competitive gaseous molecules, especially N2. Hence, N2 adsorption on different (NiB)n surfaces was also studied and the corresponding results are listed in Figure 6. Interestingly, the largest adsorption enhancement of N2 is still located in the (NiB)10 slab of −0.066 eV, which has a similar pattern to CO2 adsorption.
Subsequently, CO2 adsorption selectivity over N2 is identified in Figure 6. An ignorable distinction in the calculated results is discovered between CO2 and N2 absorbed on (NiB)4, (NiB)5, and (NiB)8. However, the two widest variations occur in the situations of CO2 adsorption on (NiB)6 and (NiB)10 with the largest increase in adsorption energy. Taking CO2@(NiB)10 as an example, the ΔEads (−0.24 eV) is almost four times that for N2 (−0.066 eV) on the same surface, which shows that (NiB)10 exhibits the potency of a highly selective adsorbent for CO2 capture.
The results suggest that the larger cluster size leads to a higher adsorption energy for both CO2 and N2, but the increase in adsorption energy for CO2 is more significant than that for N2. The results indicate that (NiB)n clusters have the potential to be highly selective adsorbents for CO2 capture and separation, which is crucial for the development of sustainable energy technologies.
Strictly, the adsorption energies calculated for CO2 and N2 on (NiB)n (n = 4–10) slabs, as discussed earlier, have the Helmholtz-free energy of 0 k, without zero-point energy correlation. To evaluate the relative adsorption stability for different configuration species under finite temperature and pressure, we adopted the ab initio thermodynamic approach (Equation (7)) and extended our DFT energy results to plot the temperature and pressure (T–P) phase diagram between CO2@surfaces and N2@surfaces in the temperature and pressure range of our interest (Figure 7 and Figure 8).
For example, taking 0.9 atm as the CO2 partial pressure, for example, in Figure 7, the desorption temperature is raised in the order of CO2@(NiB)4 < CO2@(NiB)5 < CO2@(NiB)8 < CO2@(NiB)9 < CO2@(NiB)7 < CO2@(NiB)6 < CO2@(NiB)10. The desorption temperature is raised from 108.56 K for CO2@(NiB)4 to 191.924 K for CO2 (NiB)10. This means the application range for CO2 adsorption is extended to about 80 K by larger cluster size, leading to a superior adsorbent for CO2 capture under mild conditions.
The T–P phase diagram provides a comprehensive understanding of the adsorption behavior of CO2 and N2 on (NiB)n clusters. It shows that the adsorption selectivity of CO2 over N2 is highly dependent on the cluster size and structure, and the larger cluster size leads to a higher desorption temperature for CO2. The results suggest that (NiB)n clusters can be a promising candidate for CO2 capture and separation under mild conditions, which is crucial for the development of sustainable energy technologies.
Figure 8 illustrates the equilibrium states for the adsorption of a single gas species under varying temperature and pressure conditions. The curves in the graph stand for the adsorption isotherms for each gas species. In the upper left part above the curve, the CO2/N2 molecule is inclined to be desorbed as a gaseous species, while the bottom right part indicates an adsorbed state. The interval between two different curves is positively correlated with their selectivity over each other.
For instance, taking the CO2/N2 adsorption on (NiB)6 as an example (Figure 8c), under the partial pressure of 1.0 atm, N2 can be adsorbed below 97.08 K and desorbed above this temperature. However, the desorption temperature of CO2 is 134.91 K. Therefore, in the temperature range of 97.08–134.91 K, (NiB)9 selectively adsorbs CO2 over N2. The temperature range can be defined as the selective window of CO2/N2. Compared with the situation of (NiB)6 and (NiB)10, the selective window for CO2/N2 is distinctly narrowed on five other surfaces. The results suggest that the selectivity of CO2/N2 adsorption on NiB clusters is highly dependent on the cluster size and structure. These findings provide valuable insights into the design of efficient sorbents for CO2 capture and separation.
In addition, the results suggest that the selectivity of CO2/N2 adsorption on NiB clusters is highly dependent on the cluster size and structure. The (NiB)n cluster with a higher chemical potential can greatly elevate the desorption temperature of various gases, making it more practical for industrial use. These findings provide valuable insights into the design of efficient sorbents for CO2 capture and separation, which is crucial for mitigating the negative impacts of greenhouse gas emissions on the environment.

3. Discussion

For the adsorption of CO2 and N2 on (NiB)10, the PDOS (projected density of states) have been calculated and shown in Figure 9. It was observed that the DOS of CO2 is closer to the Fermi level compared to that of N2. In the case of CO2, its DOS being closer to the Fermi level suggests a higher availability of energy states for CO2 molecules to interact with the (NiB)10 surface. This proximity of energy levels facilitates stronger interactions between CO2 and the adsorbent, leading to a higher adsorption affinity. On the other hand, N2, with its DOS farther away from the Fermi level, has fewer available energy states for interaction, resulting in weaker adsorption.
It has been recognized that the Ni→B→CO2 path provides more electrons traveling from the surface to the CO2 molecule, which enhances the CO2 reduction activity. In this study, we further discuss this point and make some generalizations of our findings.
To investigate the CO2 adsorption on the (NiB)n cluster, we calculated the projected density of states (PDOS) for the adsorption of CO2 on (NiB)4 and (NiB)10, which exhibited the lowest and largest adsorption energies, respectively. Figure 10 displays the results of this analysis. Compared with CO2 on (NiB)4 (Figure 10a), the localized CO2 2p peak A was enhanced and shifted to a higher energy level. This indicates that the CO2 molecule is strongly adsorbed on the (NiB)10 surface, which is consistent with the high adsorption energy. Furthermore, Ni atoms in clusters hybridized with CO2 (peak B in Figure 10c) and should be polarized with the approach of positively charged species (e.g., C atom in CO2 molecule), which is consistent with the formation of the charge delivery channel along the Ni→B→CO2 path.
This suggested that the charge delivery channel and the hybridization of Ni atoms with CO2 are the key factors that contribute to the strong CO2 adsorption capacity of (NiB)10. The charge delivery channel provides a pathway for the transfer of electrons from the cluster to the CO2 molecule, while the hybridization of Ni atoms with CO2 enhanced the interaction between the cluster and the CO2 molecule. The polarization of Ni atoms in a positively charged manner further strengthens the interaction between the cluster and the CO2 molecule, which increases the adsorption capacity of CO2 on the cluster surface. This suggests that the CO2 adsorption promotion by (NiB)10 should be predictable. The enhanced CO2 adsorption on (NiB)10 can be attributed to the synergistic effect between Ni and B, which provides more active sites for CO2 adsorption and promotes electron transfer from the surface to the CO2 molecule.
In conclusion, our study provides a deeper understanding of the CO2 adsorption on NiB and sheds light on the design of efficient sorbents for CO2 capture. The results suggest that NiB is a promising sorbent for CO2 molecules due to its high activity and selectivity, and the Ni→B→CO2 path provides a promising strategy to enhance the CO2 adsorption performance.

4. Calculation Methods

All the clusters were optimized with the Vienna Ab initio Simulation Package (VASP5.4) [32,33], which uses a plane wave basis set to solve the Kohn–Sham equation of the density functional theory (DFT). The Perdew–Burke–Ernzerhof (PBE) exchange correlation function [34] was used, and the cut-off energy was set to 450 eV for all the calculations within the framework of the projector-augmented wave (PAW) method [35,36]. The (NiB)n clusters were placed in a 30 × 30 × 30 Å cubic super-cell, which makes the interaction between the two neighboring cluster images negligible. The Brillouin zone was sampled with 5 × 5 × 1 k-points sampled using the Monkhorst–Pack method. The cluster structures were converged when the force components were less than a threshold value of 0.02 eV Å1, and the change of total energy less than 105 eV. The frequency calculations were performed to confirm that the reported clusters are geometrically stable, and at the same time, to get the zero-point vibration energies (ZPE) of the clusters. If not mentioned, the ZPE correction was included in the total energy.
The binding energy per atom (Eb) for the most stable structures of (NiB)n clusters are calculated in order to predict the relative stability of the clusters. The binding energy per atom (Eb) was estimated through Equation (1):
Eb = −[Ecluster − n(ENi + EB)]/N
where N = 2n is the total number of atoms in the cluster. The total energy, Ecluster, corresponds to the lowest energy obtained for a set of same-sized clusters, while ENi and EB stand for the total ground state energy of Ni and B atoms, respectively.
Next, we calculated the vertical electron affinity (VEA), vertical ionization energy (VIE), chemical potential (μ), and highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap (Eg) values according to the formulae below:
VEA = EneutralEanion
VIE = EcationEneutral
μ = −1/2(VIE + VEA)
Eg = ELUMOEHOMO
The adsorption energy (ΔEads) of (NiB)n toward CO2 and N2 is defined as:
ΔEads = Etot − (Emol + Esheet)
where Etot, Emol, and Esheet are the total energies of the adsorption complex, the isolated molecule, and the (NiB)n, respectively.
The ab initio thermodynamic method [37] is used to calculate the Gibbs free energy G(T, P) of the adsorption processes by taking environmental effects into account. Due to the variation in solid-phase adsorbents under different temperatures and pressures being negligible [38,39], the adsorption of CO2 gas is regarded as the main contributor leading to the Gibbs free energy change. The formula for calculation is given below:
Δ G a d s ( T , P ) = E a d s D F T E s l a b D F T E g D F T + Δ F v i b , a d s ( T ) [ Δ H g ( 0 K T , P 0 ) T S g ( T , P 0 ) + k T ln ( P P 0 )
where F v i b , a d s ( T ) means the zero-point energy (ZPE) correction, which is considered in all adsorption processes of gases. The contribution of gas enthalpy and entropy under atmospheric pressure (P0 = 1 × 105 Pa) can be obtained in the thermodynamic database.
For the adsorbed product CO2@(NiB)n and the corresponding free molecule in the gaseous phase, the vibrational contributions from n prominent vibrational modes within the harmonic approximation to the Gibbs free energy (comprising vibrational energy and entropy) are defined as:
F v i b T = i = 1 n F v i b ( T , v i ) = i = 1 n [ h v i 2 + k T ln ( 1 e β h v i ) ]
where β = 1/kT and vi are the vibration frequency. In our cases, the total vibrational correction can be expressed as:
F v i b , a d s T = F a d s v i b T F g v i b T
where F a d s v i b T , F g v i b T , and F v i b , a d s T are vibrational Gibbs free energies of the adsorbed molecule, the free gas molecule, and their change arising from the adsorbate–surface interaction, respectively.
The charge density difference for the gas-interacted (NiB)n is plotted to understand the nature of bonding between the gases and the (NiB)n sheet. The charge density difference plot is calculated as follows:
Δ ρ = ρ c o m p l e x i ρ i f r a g m e n t s
where ρ c o m p l e x is the density of the complex, and ρ i f r a g m e n t s is the density of the fragments forming the whole system, where fragments consist of (NiB)n and gas molecules. The electronic properties of density of states (DOS) was also evaluated to better understand the nature of chemical bonding.

5. Conclusions

The adsorption of carbon dioxide (CO2) has become a crucial research topic in recent years due to the increasing concerns about global warming and climate change. The capture and storage of CO2 is a promising method, which has sparked a lot of scientific interest. The development of efficient sorbents for CO2 capture and storage is crucial to enhance the performance of the electrochemical process.
In this study, we employed first-principles calculations to investigate the stable structures of (NiB)n clusters (n = 1–10) and their interaction with CO2. We first located the structures of (NiB)n clusters and found that they adopt 3D geometries from n = 4. The calculation of binding energy per atom (Eb) revealed that 3D geometries were more stable than plane clusters. We discussed the chemical reactivity of each atom in the clusters based on the calculated vertical electron affinity, vertical ionization energy, chemical potential, and highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap. Our analysis showed that (NiB)6 and (NiB)10 with high chemical potential may be more favorable for CO2 adsorption.
We further investigated the adsorption of CO2 on various clusters and the selective adsorption of N2 among these clusters. Our results substantiated that (NiB)6 and (NiB)10 exhibited the strongest adsorption of CO2 due to a charge delivery channel that forms along the Ni→B→CO2 path, which allows for more electrons traveling from the surface to CO2 molecules. The results of the density of states analysis show that Ni atoms in clusters hybridized with CO2 and should be polarized with the approach of positively charged species. In particular, (NiB)10 showed the highest adsorption selectivity of CO2 over N2, followed by (NiB)6. Notably, we found that (NiB)10 had a more practical CO2 desorption temperature and a broader window for the selective adsorption of CO2 over N2.
Our theoretical results suggest that (NiB)10 could be a promising candidate for CO2 capture. Moreover, the (NiB)n cluster with a higher chemical potential can significantly increase the desorption temperature of various gases, making it more practical for industrial use.

Author Contributions

Conceptualization, writing—review and editing, M.H.; supervision, Y.M. and X.Z.; project administration and resources, C.F.; funding acquisition, T.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science Technology of Hebei Education Department, grant number QN2020218.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data will be available upon request via email to the corresponding authors.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are not available from the authors.

References

  1. Mitchell, J.F. The “greenhouse” effect and climate change. Rev. Geophys. 1989, 27, 115–139. [Google Scholar] [CrossRef]
  2. Duyar, M.S.; Treviño, M.A.A.; Farrauto, R.J. Dual function materials for CO2 capture and conversion using renewable H2. Appl. Catal. B Environ. 2015, 168, 370–376. [Google Scholar] [CrossRef]
  3. Pramod, C.V.; Upendar, K.; Mohan, V.; Sarma, D.S.; Rao, K. Hydrotalcite-SBA-15 composite material for efficient carbondioxide capture. J. CO2 Util. 2015, 12, 109–115. [Google Scholar] [CrossRef]
  4. Sen, S.; Liu, D.; Palmore, G.T.R. Electrochemical reduction of CO2 at copper nanofoams. ACS Catal. 2014, 4, 3091–3095. [Google Scholar] [CrossRef]
  5. Jiang, K.; Huang, Y.; Zeng, G.; Toma, F.M.; Goddard, W.A.; Bell, A.T. Effects of surface roughness on the electrochemical reduction of CO2 over Cu. ACS Energy Lett. 2020, 5, 1206–1214. [Google Scholar] [CrossRef] [Green Version]
  6. Esrafili, M.D.; Nejadebrahimi, B. Theoretical insights into hydrogenation of CO2 to formic acid over a single CO atom incorporated nitrogen-doped graphene: A DFT study. Appl. Surf. Sci. 2019, 475, 363–371. [Google Scholar] [CrossRef]
  7. Xu, Z.; McNamara, N.D.; Neumann, G.T.; Schneider, W.F.; Hicks, J.C. Catalytic hydrogenation of CO2 to formic acid with silica-tethered iridium catalysts. ChemCatChem 2013, 5, 1769–1771. [Google Scholar] [CrossRef]
  8. Prajapati, A.; Sartape, R.; Galante, M.T.; Xie, J.; Leung, S.L.; Bessa, I.; Andrade, M.H.S.; Somich, R.T.; Reboucas, M.V.; Hutras, G.T.; et al. Fully-integrated electrochemical system that captures CO2 from flue gas to produce value-added chemicals at ambient conditions. Energy Environ. Sci. 2022, 15, 5105–5117. [Google Scholar] [CrossRef]
  9. Prasetyo, N.; Wicaksono, H.R. Effect of Pt cluster size on CO2 adsorption and activation on (110) and (100) γ-alumina surfaces: Insights from DFT using a periodic boundary approach. J. Mol. Model. 2022, 28, 137. [Google Scholar] [CrossRef]
  10. Wang, Y.; Wang, H.; Zhang, N.; Wang, D.; Wang, R.; Peng, W.; Zhang, J.; Liu, J.; Zhang, J. CO2 Capture and Separation by Mono-Vacancy Doped Graphene in Electric Field: A DFT study. ChemistrySelect 2023, 8, 13. [Google Scholar] [CrossRef]
  11. Bhanja, P.; Modak, A.; Bhaumik, A. Porous organic polymers for CO2 storage and conversion reactions. ChemCatChem 2019, 1, 244–257. [Google Scholar] [CrossRef]
  12. Bachu, S.; Bonijoly, D.; Bradshaw, J.; Burruss, R.; Holloway, S.; Christensen, N.P.; Mathiassen, O.M. CO2 storage capacity estimation: Methodology and gaps. Int. J. Greenh. Gas Control 2007, 1, 430–443. [Google Scholar] [CrossRef] [Green Version]
  13. Roque-Malherbe, R.; Uwakweh, O.N.; Lozano, C.; Polanco, R.; Hernandez-Maldonado, A.; Fierro, P.; Lugo, F.; Primera-Pedrozo, J.N. Structural effects and interactions of carbon dioxide molecules adsorbed on Ni, Zn, and Cd nitroprussides. J. Phys. Chem. 2011, 115, 15555–15569. [Google Scholar] [CrossRef]
  14. Li, J.; Croiset, E.; Ricardez-Sandoval, L. Effect of carbon on the Ni catalyzed methane cracking reaction: A DFT study. Appl. Surf. Sci. 2014, 311, 435–442. [Google Scholar] [CrossRef]
  15. Gould, T.D.; Izar, A.; Weimer, A.W.; Falconer, J.L.; Medlin, J.W. Stabilizing Ni Catalysts by Molecular Layer Deposition for Harsh, Dry Reforming Conditions. ACS Catal. 2014, 4, 2714–2717. [Google Scholar] [CrossRef]
  16. Chai, K.H.; Leong, L.K.; Wong, D.S.H.; Tsai, D.H.; Sethupathi, S. Effect of CO2 adsorbents on the Ni-based dual-function materials for CO2 capturing and in situ methanation. J. Chin. Chem. Soc. 2020, 67, 998–1008. [Google Scholar] [CrossRef]
  17. Fouskas, A.; Kollia, M.; Kambolis, A.; Papadopoulou, C.; Matralis, H. Boron-modified Ni/Al2O3 catalysts for reduced carbon deposition during dry reforming of methane. Appl. Catal. A-Gen. 2014, 474, 125–134. [Google Scholar] [CrossRef]
  18. Shin, J.H.; Kan, M.; Oh, J.W.; Yu, H.J.; Lin, L.C.; Kim, J.H.; Kang, D.; Lee, J.S. Solubility selectivity-enhanced SIFSIX-3-Ni-containing mixed matrix membranes for improved CO2/CH4 separation efficiency. J. Membr. Sci. 2021, 633, 119390. [Google Scholar] [CrossRef]
  19. Lin, K.; Yang, X.; Ma, X.; Han, L.; Li, X.; Wang, W.; Zhan, H.; Ma, B. Efficient bimetal loaded (Rh-Ni)/αβ-MoxC catalyst for CO2 methanation. J. Chem. Sci. 2021, 133, 108. [Google Scholar] [CrossRef]
  20. Xu, J.; Saeys, M. Improving the coking resistance of Ni-based catalysts by promotion with subsurface boron. J. Catal. 2006, 242, 217–226. [Google Scholar] [CrossRef]
  21. Xu, J.; Saeys, M. First principles study of the coking resistance and the activity of a boron promoted Ni catalyst. Chem. Eng. Sci. 2007, 62, 5039–5041. [Google Scholar] [CrossRef]
  22. Xu, J.; Chen, L.; Tan, K.; Borana, A.; Saeys, M. Effect of boron on the stability of Ni catalysts during steam methane reforming. J. Catal. 2009, 261, 158–165. [Google Scholar] [CrossRef]
  23. Shakir, M.D.; Sengupta, S.; Sinhamahapatra, A.; Liu, S.; Vuthaluru, H. B-Ni/MgAl2O4 catalyzed dry reforming of methane: The role of boron to resist the formation of graphitic carbon. Fuel 2022, 320, 123950. [Google Scholar] [CrossRef]
  24. Shein, I.R.; Medvedeva, N.I.; Ivanovskii, A.L. Electronic and structural properties of cementite-type M3X (M = Fe, Co, Ni; X = C or B) by first principles calculations. Phys. B-Condens. Matter 2006, 371, 126–132. [Google Scholar] [CrossRef]
  25. Zhou, Y.; Xiang, H.; Feng, Z.; Li, Z. Electronic Structure and Mechanical Properties of NiB: A Promising Interphase Material for Future UHTCf/UHTC Composites. J. Am. Ceram. Soc. 2016, 99, 2110–2119. [Google Scholar] [CrossRef]
  26. Jain, P.K. A DFT-Based Study of the Low-Energy Electronic Structures and Properties of Small Gold Clusters. Struct. Chem. 2005, 16, 421–426. [Google Scholar] [CrossRef]
  27. Juárez-Sánchez, J.O.; Galván, D.H.; Posada-Amarillas, A. Combined DFT and NBO approach to analyze reactivity and stability of (CuS)n (n = 1–12) clusters. Comput. Theor. Chem. 2017, 1103, 71–82. [Google Scholar] [CrossRef]
  28. Arab, A.; Ziari, F.; Fazli, M. Electronic structure and reactivity of (TiO2)(n) (n = 1-10) nano-clusters: Global and local hardness based DFT study. Comput. Mater. Sci. 2016, 117, 90–97. [Google Scholar] [CrossRef]
  29. Garg, S.; Kaur, N.; Goel, N. Conceptual DFT and TDDFT study on electronic structure and reactivity of pure and sulfur doped (CrO3)(n) (n = 1–10) clusters. J. Mol. Graph. Model. 2020, 99, 107617. [Google Scholar] [CrossRef]
  30. Parr, R.G.; Donnelly, R.A.; Levy, M.; Palke, W.E. Electronegativity: The density functional viewpoint. J. Chem. Phys. 1978, 68, 3801–3807. [Google Scholar] [CrossRef]
  31. Parr, R.G.; Pearson, R.G. Absolute hardness: Companion parameter to absolute electronegativity. J. Am. Chem. Soc. 1983, 105, 7512–7516. [Google Scholar] [CrossRef]
  32. Kresse, G.; Furthmüller, J. Efficient iterative schemes for ab initio totalenergy calculations using a plane-wave basis set. Phys. Rev. B 1996, 54, 11169–11186. [Google Scholar] [CrossRef]
  33. Kresse, G.; Furthmüller, J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 1996, 6, 15–50. [Google Scholar] [CrossRef]
  34. Kresse, G.; Furthmüller, J. Generalized gradient approximation made simple. Phys. Rev. Lett. 1996, 77, 3865–3868. [Google Scholar]
  35. Blochl, P.E. Projector augmented-wave method. Phys. Rev. B 1994, 50, 17953–17979. [Google Scholar] [CrossRef] [Green Version]
  36. Kresse, G.; Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 1999, 59, 1758–1775. [Google Scholar] [CrossRef]
  37. Yang, Z.; Wang, Q.; Wei, S.; Ma, D.; Sun, Q. The effect of environment on the reaction of water on the Ceria(111) surface: A DFT plus U study. J. Phys. Chem. C 2010, 114, 14891–14899. [Google Scholar] [CrossRef]
  38. Reuter, K.; Scheffler, M. Composition, structure, and stability of RuO2(110) as a function of oxygen pressure. Phys. Rev. B—Condens. Matter Mater. Phys. 2002, 65, 035406. [Google Scholar] [CrossRef] [Green Version]
  39. Fronzi, M.; Piccinin, S.; Delley, B.; Traversa, E.; Stampfl, C. Water adsorption on the stoichiometric and reduced CeO2(111) surface: A first-principles investigation. R. Soc. Chem. 2009, 11, 9188–9199. [Google Scholar] [CrossRef]
Figure 1. Ground-state (NiB)n cluster structures depicting the geometry evolution from linear (n = 1), to planar (n = 2, 3), to 3D (n = 4~10). (a): n = 1~5; (b): n = 6~10. Blue and green spheres depict Ni and B atoms, respectively.
Figure 1. Ground-state (NiB)n cluster structures depicting the geometry evolution from linear (n = 1), to planar (n = 2, 3), to 3D (n = 4~10). (a): n = 1~5; (b): n = 6~10. Blue and green spheres depict Ni and B atoms, respectively.
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Figure 2. Binding energy (Eb, in eV) and the highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap (Eg) of (NiB)n (n = 1–10) clusters.
Figure 2. Binding energy (Eb, in eV) and the highest occupied molecular orbital (HOMO)–lowest unoccupied molecular orbital (LUMO) gap (Eg) of (NiB)n (n = 1–10) clusters.
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Figure 3. The distance and adsorption energy of CO2 adsorption on (NiB)n clusters.
Figure 3. The distance and adsorption energy of CO2 adsorption on (NiB)n clusters.
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Figure 4. Relaxed local geometric structures for CO2 adsorbed on (NiB)n. Brown and red spheres depict C and O atoms, respectively. All lengths are given in Å.
Figure 4. Relaxed local geometric structures for CO2 adsorbed on (NiB)n. Brown and red spheres depict C and O atoms, respectively. All lengths are given in Å.
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Figure 5. Charge difference of the adsorption of CO2 on (NiB)n. The yellow cloud indicates electron depletion, while the blue indicates accumulation. The iso-surface is 0.0003 e/Å3. Δq stands for the total charge of CO2 molecule and is given in e. Negative means charge obtainment.
Figure 5. Charge difference of the adsorption of CO2 on (NiB)n. The yellow cloud indicates electron depletion, while the blue indicates accumulation. The iso-surface is 0.0003 e/Å3. Δq stands for the total charge of CO2 molecule and is given in e. Negative means charge obtainment.
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Figure 6. Selective adsorption of CO2 over N2 on different (NiB)n surfaces. Black squares and magenta circles refer to the ΔEads CO2 and N2 adsorption, respectively.
Figure 6. Selective adsorption of CO2 over N2 on different (NiB)n surfaces. Black squares and magenta circles refer to the ΔEads CO2 and N2 adsorption, respectively.
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Figure 7. T–P phase diagram of CO2 adsorption on (NiB)n (n = 4–10).
Figure 7. T–P phase diagram of CO2 adsorption on (NiB)n (n = 4–10).
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Figure 8. T–P phase diagram of the CO2 adsorption over N2 on (NiB)n.
Figure 8. T–P phase diagram of the CO2 adsorption over N2 on (NiB)n.
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Figure 9. Projected density of states (PDOS) analysis for the adsorption of CO2 and N2 on the (NiB)10 surface.
Figure 9. Projected density of states (PDOS) analysis for the adsorption of CO2 and N2 on the (NiB)10 surface.
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Figure 10. Projected density of states for CO2 on (NiB)4 and (NiB)10 (a,b). (c) is the Ni atom close to CO2 in (NiB)10. The Fermi level is set to 0 eV.
Figure 10. Projected density of states for CO2 on (NiB)4 and (NiB)10 (a,b). (c) is the Ni atom close to CO2 in (NiB)10. The Fermi level is set to 0 eV.
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Table 1. Vertical ionization energy (VIE), vertical electron affinity (VEA), and chemical potential (μ) of (NiB)n (n = 1–10) clusters (units are in eV).
Table 1. Vertical ionization energy (VIE), vertical electron affinity (VEA), and chemical potential (μ) of (NiB)n (n = 1–10) clusters (units are in eV).
Cluster FormVIEVEAμ
(NiB)15.222.84−4.03
(NiB)25.582.43−4.01
(NiB)34.843.56−4.20
(NiB)43.852.56−3.21
(NiB)53.402.49−2.94
(NiB)63.212.41−2.81
(NiB)73.372.67−3.02
(NiB)84.521.77−3.18
(NiB)95.171.29−3.23
(NiB)102.152.07−2.11
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Hou, M.; Zhou, X.; Fu, C.; Nie, T.; Meng, Y. Electronic Properties and CO2-Selective Adsorption of (NiB)n (n = 1~10) Clusters: A Density Functional Theory Study. Molecules 2023, 28, 5386. https://doi.org/10.3390/molecules28145386

AMA Style

Hou M, Zhou X, Fu C, Nie T, Meng Y. Electronic Properties and CO2-Selective Adsorption of (NiB)n (n = 1~10) Clusters: A Density Functional Theory Study. Molecules. 2023; 28(14):5386. https://doi.org/10.3390/molecules28145386

Chicago/Turabian Style

Hou, Meiling, Xing Zhou, Chao Fu, Tingting Nie, and Yu Meng. 2023. "Electronic Properties and CO2-Selective Adsorption of (NiB)n (n = 1~10) Clusters: A Density Functional Theory Study" Molecules 28, no. 14: 5386. https://doi.org/10.3390/molecules28145386

APA Style

Hou, M., Zhou, X., Fu, C., Nie, T., & Meng, Y. (2023). Electronic Properties and CO2-Selective Adsorption of (NiB)n (n = 1~10) Clusters: A Density Functional Theory Study. Molecules, 28(14), 5386. https://doi.org/10.3390/molecules28145386

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