Caio Vinícius Sousa Costa, Leonardo de Souza Barbosa, Ricardo Gargano, David Lima Azevedo
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引用次数: 0
Abstract
Context
The transition metal niobium (Nb) has attracted considerable attention from the scientific community due to its intriguing electronic properties and applications in catalysts suitable for chemical reactions. Thus, this work investigates the adsorption of the atmospheric polluting gas carbon monoxide (CO) by the niobium cluster (Nb\(_4\)), to describe the reactive nature of Nb\(_4\). This entire study was carried out by applying the Coupled-Cluster method and Density Functional Theory (through the HSE06 functional) and the def2-QZVP plus Def2-TZVP/C auxiliary basis set functions. The results of electronic structure calculations and IR vibrational spectra suggest that both Nb\(_4\) and the Nb\(_4\)-CO clusters can be considered stable. Furthermore, the obtained results also indicate that there is a chemisorption of carbon monoxide by the Nb\(_4\) niobium cluster. This feature can serve as motivation for future theoretical–experimental studies, as it suggests that the Nb\(_4\) cluster may have possible technological applications in automotive catalytic processes.
Methods
Initial three-dimensional structures were constructed. Complete optimization of the geometry was performed in coupled cluster and density functional theory methods. From the optimization configuration, it was possible to investigate the stability, chemisorption process, binding energies, charge analysis, molecular orbital energies, and IR vibrational spectra of the systems.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.