DFT Study of Structural, Chemical, and Optical Properties in Cun and PdCun−1 Clusters (n = 3–20)

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
José Aminadat Morato-Márquez, José Gilberto Torres-Torres, Filiberto Ortíz-Chi
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引用次数: 0

Abstract

Bimetallic nanoclusters exhibit catalytic activity and electronic properties susceptible to single-atom changes. Previous theoretical studies on Pd-doped copper clusters have focused on narrow size ranges or magic numbers of atoms (e.g., 13, 38, 43, and 55), limiting comprehensive understanding and experimental comparison. We employ a growth-pattern algorithm to explore the potential energy surface of the Cun and PdCun−1 clusters (n = 3–20), identifying new putative global minima for PdCu7 and PdCu9–11. For both systems, we analyze their structural, electronic, chemical, and optical properties as a function of size. Structural analysis shows that progressive Cu addition stabilizes Pd in apical positions, reducing electron acceptance barriers and enhancing nucleophilicity compared to its pure copper counterpart. Concurrently, Cu addition induces a blueshift in UV–Vis absorption spectra, indicating increased electronic transition energies. These findings suggest promising applications for these bimetallic clusters in catalysis and electronic sensing.

Abstract Image

Cun和PdCun−1簇结构、化学和光学性质的DFT研究(n = 3-20)
双金属纳米团簇具有催化活性和易受单原子变化影响的电子性质。先前关于掺杂pd的铜簇的理论研究主要集中在狭窄的尺寸范围或原子的幻数(例如13、38、43和55)上,限制了全面的理解和实验比较。我们采用生长模式算法探索了Cun和PdCun−1簇(n = 3-20)的势能面,确定了PdCu7和PdCu9-11的新的假定全局最小值。对于这两种系统,我们分析了它们的结构、电子、化学和光学性质作为尺寸的函数。结构分析表明,与纯铜相比,逐步加入Cu使Pd在顶端位置稳定,降低了电子接受障碍,增强了亲核性。同时,Cu的加入在UV-Vis吸收光谱中引起蓝移,表明电子跃迁能增加。这些发现表明这些双金属团簇在催化和电子传感方面有很好的应用前景。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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