金基二元合金团簇Au_(12)M(M=Cu,Pt,Ni)催化水煤气变换反应的理论研究

利用密度泛函理论(DFT)对Au12M(M=Cu,Pt,Ni)3种合金团簇的结构稳定性、热力学稳定性和反应活性进行研究,并对金基二元合金团簇催化水煤气变换反应(WGSR)的反应机理进行探讨.研究发现,Au12Ni合金团簇的稳定性及电子活性最优.考察了WGSR在金基二元合金团簇上的氧化还原机理和羧基机理,表明Au12Cu合金团簇上WGSR按照氧化还原机理A进行,水解离后产生的OH*会继续解离为O*和H*(*代表吸附物质);Au12Pt及Au12Ni合金团簇上按照氧化还原机理B进行,2个OH*发生歧化反应.比较3种团簇上的最佳反应路径发现,Au12Cu团簇对WGSR表现出较好的催化活性.     

三种Au(111)催化水煤气变换反应机理的比较

采用密度泛函理论对三种水煤气变换反应(WGSR)机理(氧化还原机理、羧基机理、甲酸基的生成机理)在Au(111)面上的反应历程进行详细讨论.通过对表面吸附物种(H2O、CO、OH、O、H、CO2、COOH、HCOO)的吸附行为进行研究,得到最佳活性吸附中心.对三种机理中的14个基元反应的活化能进行分析,得出WGSR在Au(111)上按照羧基机理和氧化还原机理进行的可能性较大,按照甲酸基的生成机理进行的可能性较小.相比较羧基机理和氧化还原机理,反应更有可能按照羧基机理进行,最佳反应途径为H2O-H→OH+CO→COOH+OH→CO2.     

二元铜团簇催化水煤气变换反应机理的理论研究

水煤气变换反应是一个重要的反应体系, 它可以去除H₂中少量的CO而被应用在质子膜燃料电池中. 然而关于水煤气变换的反应机理还存在一定的争议, 为阐明其反应机理, 本文采用密度泛函理论PBE方法, 金属元素采用Lanl2dz基组, 非金属元素采用6-311++G(d,p)基组, 对系列二元铜团簇Cu₆TM (TM=Co, Rh, Ir, Ni, Pd, Pt, Ag, Au)催化水煤气变换反应机理进行了研究. 结果表明: CO分子比H₂O分子更容易吸附到团簇上. 水煤气变换反应包括三种反应机理: 羧基反应机理, 氧化还原反应机理, 甲酸反应机理, 相对应的基元反应分别为CO^*+O^*→CO₂(g), CO^*+OH^*→COOH^*→CO₂(g)+H^*, 和CO^*+H^*+O^*→CHO^*+O^*→HCOO^**→CO₂(g)+H^*. 甲酸根是实验中最可能检测到的中间物, 这是由于生成甲酸根有较低的能垒以及甲酸根解离有较高的解离能. Co, Rh, Ni, Pd掺杂在Cu₇团簇中对水煤气转化反应的催化效果明显比纯Cu₇团簇催化效果好. 采用CO的初始消耗率以及最终CO₂的产率进一步研究了在Cu₆TM (TM=Co, Rh, Ni, Pd)表面甲酸根是反应过程中的旁观者还是一种重要的中间物. 计算结果还表明, 对于Cu₆TM (TM=Ni, Pd), 由于CO较低的反应能垒, 水煤气变换反应主要按照氧化还原反应机理进行反应, 而对于Cu₆TM (TM=Co, Rh), 水煤气变换反应三种反应机理均可进行反应. 本文的结果有助于理解水煤气变换反应和设计更好的催化剂.     

Cu催化水煤气的变换反应机理

采用密度泛函理论(DFT), 对Cu催化水煤气变换反应三种可能的微观机理进行了理论研究. 在GGA-PW91理论水平下优化了反应通道上各驻点(反应物、中间体、过渡态和产物)的几何构型, 并通过频率分析对过渡态进行了验证. 研究结果表明, 甲酸根机理的可能性最小, 羧基机理与氧化还原机理的可能性较大, 且与氧化还原机理相比, 羧基机理因在反应过程中有中间体COOH(s)生成, 且它与OH(s)发生歧化反应仅需越过3.8 kJ·mol-1的活化能垒, 所以反应更易遵循这条路径进行.     

Cu_2O(111)催化水煤气变换反应机理的理论研究

采用密度泛函理论结合周期平板模型方法系统地研究了水煤气变换反应在Cu_2O(111)表面上的反应机理,包括氧化还原机理、羧基机理和甲酸根机理.结果表明,在Cu_2O(111)表面,羧基机理和甲酸根机理均可行,且甲酸根机理更为有利,其最佳反应途径为H_2O~*→H~*+OH~*;CO(g)+H~*+OH~*→trans-HCOOH~*(1)→cis-HCOOH~*→CO_2~*+H_2(g).其中trans-HCOOH~*(1)→cis-HCOOH~*为其决速步,该基元反应的能垒仅为59 kJ·mol~(-1).羧基机理的最优反应路径同样是以H_2O的解离反应开始,随后CO(g)+OH~*→cis-COOH~*→trans-COOH~*→CO_2(g)+H~*,最后产生的两个吸附的H原子先迁移再结合生成H_2,整个反应的控速步骤为H原子的迁移,迁移能垒为96 kJ·mol~(-1).氧化还原机理则由于OH解离需要越过一个很高的能垒(254 vs.187 kJ·mol~(-1))而不可行.     

Au负载催化剂应用于水煤气变换制氢反应的研究进展

水煤气变换反应是目前广泛应用于制氢的方法 ,应用于水煤气变换反应的催化剂成为了重要的研究热点.我们在简述传统水煤气变换催化剂的基础上,重点介绍了Au负载型催化剂应用于水煤气变换反应的相关文献,针对Au负载型催化剂的载体种类、制备方法以及催化剂活性机理做出了详细分析.强调了影响水煤气变换反应催化剂的重点参数及Au负载型催化剂的发展趋势,以便为提高催化剂催化活性、设计Au负载催化剂并应用在水煤气变换反应中的研究者提供必要的参考信息.     

过渡应答法研究J105镍催化剂上的甲烷化反应机理

采用过渡应答法研究了J105 Ni催化剂上CO的吸附行为以及CO歧化反应与甲烷化反应。实验结果表明,在J105上甲烷化反应机理为直接解离机理,其中CO解离为反应的控制步骤,由此提出了J105 Ni催化剂上可能遵循的甲烷化反应机理。     

纳米团簇Au19Pd和Au19Pt催化解离N2O

采用密度泛函理论研究Au-Pd和Au-Pt 纳米团簇催化解离N₂O. 首先根据计算得到Au₁₉Pd和Au₁₉Pt 团簇的最优构型(杂原子均位于团簇的表面). 以Au₁₉Pd催化解离N₂O为例研究催化解离的反应机理. 对此主要考虑两个反应机理, 分别是Eley-Rideal (ER)和Langmuir-Hinshelwood (LH). 第一个机理中N₂O解离的能垒是1.118 eV, 并且放热0.371 eV. N₂分子脱附后, 表面剩余的氧原子沿着ER路径消除需要克服的能垒是1.920eV, 这比反应沿着LH路径的能垒高0.251 eV. 此外根据LH机理, 氧原子在表面的吸附能是-3.203 eV, 而氧原子在表面转移所需的能垒是0.113 eV, 这表明氧原子十分容易在团簇表面转移, 从而促进氧气分子的生成. 因此, LH为最优反应路径. 为了比较Au₁₉Pd和Au₁₉Pt 对N₂O解离的活性, 根据最优的反应路径来研究Au₁₉Pt 催化解离N₂O, 得到作为铂族元素的铂和钯对N₂O的解离有催化活性, 尤其是钯. 同时, 将团簇与文献中的Au-Pd合金相比较, 得到这两种团簇对N₂O 解离有较高的活性, 尤其是Au₁₉Pd团簇. 再者, O₂的脱附不再是影响反应的主要原因, 这可以进一步提高团簇解离N₂O的活性.     

Au4团簇上甲酸分解反应机理的理论研究

采用密度泛函理论方法对Au4团簇上甲酸分解反应的反应机理进行了研究,并考察了Au4团簇的两个催化活性位点。在路径Ⅰ和路径Ⅱ中,HCOOH分解的产物是CO2和H2。在路径Ⅲ和路径Ⅳ中,HCOOH分解的最终产物为CO和H2O。此外,本文研究了CO2、H2和CO、H2O两种产物的相互转化,即路径Ⅴ和路径Ⅵ。研究结果表明,路径Ⅰ和路径Ⅱ的活化自由能垒较低,即在Au4团簇上HCOOH更易分解得到CO2和H2,此外两种产物之间不容易转化。进一步研究发现团簇的大小及CeO2载体对HCOOH分解脱氢路径的活化自由能垒有一定的影响。     

ORR催化剂Ni_m@Pt_1Au_(n-m-1)(n=19,38,55,79;m=1,6,13,19)的密度泛函研究（英文）

燃料电池的阴极反应的反应动力学速率非常慢,限制了燃料电池技术的发展。因此,寻找低成本、高活性的氧还原催化剂具有重要的意义。多元金属核壳团簇表现出优良的氧还原活性。在本文中,以原子个数为19、38、55和79的八面体团簇作催化剂模型,采用密度泛函理论(GGA-PBE-PAW)方法,研究了一系列不同尺寸核壳Ni_m@M_(n-m)(n=19, 38, 55, 79;m=1, 6,13, 19; M=Pt, Pd, Cu, Au, Ag)团簇催化剂的活性规律。优化*O、*OH和*OOH吸附中间体结构,计算了吸附自由能和反应吉布斯自由能,以超电势为催化活性的描述符,研究了单原子Pt嵌入Ni_m@Au_(n-m)团簇的活性规律。结果表明,Ni_6@Pt_1Au_(31)具有最好的ORR活性,并且Ni_1@Pt_1Au_(17)、Ni_6@Pt_1Au_(31)、Ni_(13)@Pt_1Au_(41)、Ni_(19)@Pt_1Au_5表现出比Pt_(38)团簇以及Pt(111)表面更高的催化活性。Bader电荷和态密度分析表面,核壳之间的电荷转移以及单原子Pt嵌入Ni_m@Au_(n-m)表面,改变了吸附位的电子性质,降低了*OH的吸附强度,提高了ORR活性。单原子Pt嵌入Ni_m@Au_(n-m)表面可能是一种合适的多元金属核壳ORR催化剂设计策略。     

Quantum-chemical modeling of ethylene and acetylene adsorption on gold clusters

The interaction of ethylene and acetylene molecules with planar (2D) and nonplanar (3D) gold clusters Au _n (n = 10, 12, 20) was studied by the density functional theory (DFT) method. The coordination of hydrocarbons at the vertices, edges, and fragments of the Au₃ cluster was shown to form π, di-σ, and μ type complexes, respectively. The standard Gibbs energy and the C-C bond length of the hydrocarbon change during its adsorption in the series μ > di-σ > π complexes. The highest selectivity in adsorption of acetylene relative to that of ethylene was achieved on Au₁₂ (3D) and Au₂₀ (2D) clusters.     

Adsorption of Propene on Neutral Gold Clusters in the Gas Phase

The adsorption of propene on neutral gold clusters is investigated in a collision cell under a few collision conditions. The adsorption reaction is studied by pressure‐dependent kinetic measurements and delayed unimolecular dissociation of the excited Au_n?propene complexes. The cluster size (n=9–25) and temperature (T=90–300 K) dependence of the propene adsorption is analyzed. Strong size dependences of the absorption reaction are observed; a larger propene adsorption probability was found for gold clusters composed of an even number of atoms. Propene binding energies are estimated by comparison of the temperature‐dependent unimolecular dissociation rates with rates obtained by using statistical RRKM modeling. The Au_n–propene binding energies decrease non‐monotonously with cluster size and are in the range of 1.2–0.85 eV for n=9–25. Finally, the bonding of C₃H₆ on Au_n is qualitatively described and similarities with the absorption of CO molecules on gold clusters are discussed.     

A Theoretical Study of the Water–Gas-Shift Reaction on Cu<Subscript>6</Subscript>TM (TM = Co,Ni, Cu,Rh, Pd,Ag, Ir,Pt, Au) Clusters

We perform density-functional theory calculations to investigate the water–gas-shift (WGS) reaction on Cu₆TM (TM = Co, Ni, Cu, Rh, Pd, Ag, Ir, Pt, Au) clusters through redox, carboxyl, and formate mechanisms, which correspond to CO* + O* → CO₂ (g), CO* + OH* → COOH* → CO₂ (g) + H*, CO* + H* + O* → CHO* + O* → HCOO** → CO₂(g) + H* respectively. An energetic span model is used to estimate the efficiency of the three mechanisms of different Cu₆TM. It finds that for groups 9 and 10, carboxyl mechanism is the predominant mechanism in the three. While for Cu₆TM (Cu, Ag, Au), it finds that the formate mechanism form the TDI and TDTS. Furthermore, the turnover frequency calculations are done for every Cu₆TM cluster. The results show that Cu₆Co is the best catalyst for WGS reaction. Finally, to understand the high catalytic activity of the Cu₆Co cluster, the nature of the interaction between adsorbate and substrate is also analyzed by the detailed electronic local density of states. These findings enrich the applications of Cu-based materials to the high activity catalytic field.     

Density Functional Study of Catalytic Activity of Cu<Subscript>12</Subscript>TM for Water Gas Shift Reaction

Based on density functional theory calculations, we have systematically studied the WGS reaction on various nanosized Cu₁₂TM of Co, Ni, Cu (from the 3d row), Rh, Pd, Ag (from the 4d row), Ir, Pt, Au (from the 5d row). The reaction mechanism proposed by Langmuir–Hinshelwood has been followed, which corresponds to \({\text{CO* + OH* }} \to {\text{COOH*}} \to {\text{CO}}_{2} {\text{ + H*}}\). The comparison of the Gibbs free energy profiles of carboxyl mechanism on different Cu₁₂TM systems concludes that WGS reaction is determined by the steps of H₂ forming and OH* reacting with CO* to form COOH*. BEP relationship between activation barriers (Ea) and reaction energies (ΔH) on a series of Cu₁₂TM clusters is very good. What’s more, the activation barrier of rate-determining step of Cu₁₂Au is the smallest. TOF, with the aid of An Energetic Span Model (ESM), is used to estimate the efficiency of the different Cu₁₂TM clusters. The results show that the values of TOFs in doping Cu₁₂Rh, Cu₁₂Ir and Cu₁₂Pt are smaller than that in pure Cu. Moreover, the values of TOFs in doping Cu₁₂Co, Cu₁₂Ni, Cu₁₂Pd, Cu₁₂Ag, and Cu₁₂Au are higher than that in Cu₁₃. The higher value of TOF, the more favorable catalysts they are. This results shoud be helpful in developing efficient catalysts for WGS reaction. Finally, d-band center is used to explain the binding energy of CO and H₂O. It shows that there is a good liner relationship between d-band center and binding energy of CO but not for H₂O.     

DFT Investigations of Aun Nano-Clusters Supported on TiO2 Nanotubes: Structures and Electronic Properties

TiO₂ nanotubes (TiO₂NTs) are beneficial for photogenerated electron separation in photocatalysis. In order to improve the utilization rate of TiO₂NTs in the visible light region, an effective method is to use Au_n cluster deposition-modified TiO₂NTs. It is of great significance to investigate the mechanism of Au_n clusters supported on TiO₂NTs to strengthen its visible-light response. In this work, the structures, electronic properties, Mulliken atomic charge, density of states, band structure, and deformation density of Au_n (n = 1, 8, 13) clusters supported on TiO₂NTs were investigated by DMOL3. Based on published research results, the most stable adsorption configurations of Au_n (n = 1, 8, 13) clusters supported with TiO₂NTs were obtained. The adsorption energy increased as the number of Au adatoms increased linearly. The Au_n clusters supported on TiO₂NTs carry a negative charge. The band gaps of the three most stable structures of each adsorption system decreased compared to TiO₂NTs; the valence top and the conduction bottom of the Fermi level come mainly from the contribution of 5d and 6s-Au. The electronic properties of the 5d and 6s impurity orbitals cause valence widening and band gap narrowing.     

Argon Adsorption on Cationic Gold Clusters Aun+ (n ≤ 20)

The interaction of Au_n⁺ (n ≤ 20) clusters with Ar is investigated by combining mass spectrometric experiments and density functional theory calculations. We show that the inert Ar atom forms relatively strong bonds with Au_n⁺. The strength of the bond strongly varies with the cluster size and is governed by a fine interplay between geometry and electronic structure. The chemical bond between Au_n⁺ and Ar involves electron transfer from Ar to Au, and a stronger interaction is found when the Au adsorption site has a higher positive partial charge, which depends on the cluster geometry. Au₁₅⁺ is a peculiar cluster size, which stands out for its much stronger interaction with Ar than its neighbors, signaled by a higher abundance in mass spectra and a larger Ar adsorption energy. This is shown to be a consequence of a low-coordinated Au adsorption site in Au₁₅⁺, which possesses a large positive partial charge.     

The adsorptions of silver-doped small gold clusters toward carbon monoxide molecule

An all-electron scalar relativistic calculation on Au _n AgCO (n = 1–12) clusters has been performed using density functional theory with the generalized gradient approximation at PW91 level. The introduction of impurity silver weakens the adsorption, and, however, promotes the reactivity enhancement of CO molecule. The CO molecule is relatively more favorable to be adsorbed by the odd-numbered Au _n Ag clusters with closed-shell electronic structure. The values of chemical hardness indicate that the Au _n AgCO cluster is less stable than the corresponding Au _n+1CO cluster chemically. This picture of the influence of impurity silver on the adsorption behavior of Au _n Ag (n = 1–12) clusters toward CO molecule is consistent with previous experimental work (Haeck et al. in J Phys Chem A 115:2103, 2011), in which the cluster’s reaction probability toward CO molecule is reduced upon substitution of gold atoms for silver and the clusters with closed electronic shell are the most reactive toward CO molecule.     

Computational Studies on the Mo-Doped Gold Nanoclusters Au<Subscript><Emphasis Type="Italic">n</Emphasis></Subscript>Mo(<Emphasis Type="Italic">n</Emphasis> = 1–10): Structures,Stabilities and Magnetic Properties

The geometric structures, relative stabilities, magnetic properties of Mo-doped gold clusters Au _n Mo(n = 1–10) have been investigated at the PBE1PBE/def2TZVP level of theory. The results show that molybdenum doping has a significant effect on the geometric structures and electronic properties of Au _n Mo(n = 1–10) clusters. For the lowest energy structures of Au _n Mo(n = 1–10), the two dimensional to three dimensional transition occurs at cluster size n ≥ 8, and their relative stabilities exhibit odd–even oscillation with the change of Au atom number. It is found that charge in corresponding Au _n Mo clusters transfers from Mo atom to Au _n host in the size range n = 1–7, whereas the charge in opposition direction in the size range n = 8–10. In addition, the magnetic properties of Au _n Mo clusters are enhanced after doping single Mo atom into the corresponding gold clusters. Our results are valuable for the design of magnetic material.     

A density functional theory study of the Au7Hn (n = 1–10) clusters

The geometries, electronic, and magnetic properties of the Au₇H_n (n = 1–10) clusters have been systematically investigated by using relativistic all-electron density functional theory with generalized gradient approximation. It is found that the Au₇ on the whole retains its triangle structure after hydrogen atoms adsorption and adsorbing hydrogen atoms can stabilize the Au₇ structure. The Au₇H₇ cluster is much higher stability than the neighboring clusters. The pronounced even–odd alternation of the magnetic moments is observed in the Au₇H_n systems indicating Au₇H_n clusters possess tunable magnetic properties by adding even or odd number of H atoms.     

Structural and electronic properties of stable Aun (n = 2–13) clusters: A density functional study

All-electron scalar relativistic calculations have been performed to investigate the electronic structures of neutral gold clusters (Au_n, n = 2–13) in the gas phase using density functional theory with the generalized gradient approximation. Full geometry optimizations of topologically different clusters and clusters belonging to different symmetry groups have been carried out. Binding energies, ionization potentials, electron affinities, and chemical hardness values are calculated and they are found to be comparable with the available experimental and theoretical results. The most stable structure of each of the cluster has a two-dimensional planar configuration. A three dimensional distorted Y shaped structure (4b) for Au₄, a tri-capped triangle (6b), a chair (6f), and a see-saw structure (6j) for Au₆, an eclipsed sandwich structure (7g) for Au₇, a condensed trigonal bipyramid (9e) and a boat shaped structure (9f) for Au₉, a staggered sandwich (11c) and an eclipsed sandwich structure (11d) for Au₁₁, a ladderane structure (12d) for Au₁₂, and a staggered (13d) and a distorted sandwich structure (13e) for Au₁₃ are characterized for the first time in this work.