Computational investigation of electrocatalytic ammonia synthesis on Mo-doped C24N24 fullerene.

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Muhammad Junaid, Sajid Karam, Muhammad Iqbal, Mehran Anjum
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引用次数: 0

Abstract

Context: The industrial production of ammonia through the Haber-Bosch process is energy intensive and operates under extreme conditions. In contrast, the catalytic reduction of nitrogen (N₂) to ammonia (NH₃) under mild conditions presents a significant challenge with important implications for sustainable chemistry. This work investigates the potential of Mo-doped carbon nitride (C₄₂N₂₄) fullerene as a catalyst for N₂ reduction. The study reveals that Mo@C₄₂N₂₄ exhibits rapid catalytic activity, with a preference for the enzymatic mechanism for N₂ conversion to NH₃. Notably, H₂ evolution is suppressed, making Mo-doped C₄₂N₂₄ a promising candidate for ammonia synthesis under mild conditions.

Methods: Density functional theory (DFT) calculations were performed using the Perdew-Burke-Ernzerhof (PBE) functional within the generalized gradient approximation (GGA) framework. The DNP basis set was employed in all calculations using the DMol3 code. The Mo atom was incorporated into the N₄ cavity of the carbon nitride structure, with a binding energy of - 2.54 eV. The electronic structure was analyzed through molecular electrostatic potential maps, Hirshfeld charge density analysis, and spin density analysis. Three catalytic pathways, alternating, distal, and enzymatic were studied to understand the reaction mechanism. All calculations were carried out using the DMol3 software package.

掺杂mo的C24N24富勒烯电催化合成氨的计算研究。
背景:通过Haber-Bosch工艺进行氨的工业生产是能源密集型的,并且在极端条件下运行。相比之下,在温和条件下,氮(N₂)催化还原为氨(NH₃)提出了一个重大挑战,对可持续化学具有重要意义。本文研究了mo掺杂氮化碳(C₄₂N₂₄)富勒烯作为N₂还原催化剂的潜力。研究表明Mo@C₄₂N₂₄具有快速的催化活性,并且偏爱将N₂转化为NH₃的酶促机制。值得注意的是,H₂的生成受到抑制,这使得mo掺杂的C₄₂N₂₄成为在温和条件下合成氨的有希望的候选者。方法:采用广义梯度近似(GGA)框架下的Perdew-Burke-Ernzerhof (PBE)泛函进行密度泛函理论(DFT)计算。所有计算均采用DNP基集,使用DMol3代码。Mo原子被纳入氮化碳结构的N₄腔中,其结合能为- 2.54 eV。通过分子静电势图、Hirshfeld电荷密度分析和自旋密度分析分析了电子结构。研究了交替、远端和酶促三种催化途径来了解反应机理。所有计算均使用DMol3软件包进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
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.
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