CO/H2 PROX在MnO2复合催化剂上的替代代数观点。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Marco Bertini,Francesco Ferrante,Laura Gueci,Antonio Prestianni,Dario Duca,Francesco Arena,Dmitry Yu Murzin
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引用次数: 0

摘要

本研究提出了一种基于图的方法来研究H2 (PROX)中CO优先氧化过程发生在具有不同氧化态锰中心的MnO2模型片段上的稳态动力学,模拟了先前用于实验应用的复合MnO2- ceo2催化剂的表面Mn(IV)活性位点。介绍了一种新的建模方法,称为基于DFT图的动力学分析(DFT- gka)。它利用自由活化能(ΔG⧧)值来表征线性基本事件,假设在伪稳态,在这个复杂的反应系统中,通过密度泛函理论(DFT)由热化学计算集成确定。该模型的实现是使用自制的Common Lisp代码实现的,该代码专门设计用于有效地处理分析所必需的长列表。最后,讨论了CO/H2 PROX在氧化锰碎片上催化过程的综合从头算DFT动力学描述子,强调了它们对未来研究和应用的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alternative Algebraic Perspectives on CO/H2 PROX over MnO2 Composite Catalysts.
This study presents a graph-based approach to investigate the steady-state kinetics of the preferential CO oxidation process in H2 (PROX) occurring on a MnO2 model fragment with manganese centers at varying oxidation states, simulating the surface Mn(IV) active sites of a composite MnO2-CeO2 catalyst previously used in experimental applications. A novel modeling approach, termed DFT graph-based kinetic analysis (DFT-GKA), is introduced. It utilizes free activation energy (ΔG⧧) values to characterize linear elementary events, supposed at pseudosteady-state, in this complex reaction system, as determined through density functional theory (DFT) integrated by thermochemical calculations. The implementation of this model is achieved using a homemade Common Lisp code, specifically designed for efficient manipulation of long lists essential for the analysis. Finally, the comprehensive ab initio DFT kinetic descriptors related to the CO/H2 PROX catalytic process on the manganese oxide fragments are discussed, highlighting their significance for future research and applications.
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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