Computational Insights Into Corrosion Inhibition Mechanism: Dissociation of Imidazole on Iron Surface

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-01-25 DOI:10.1002/jcc.70047
Weina Zhao, Chang Shen, Anil Kumar Tummanapelli, Ming Wah Wong
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Abstract

Corrosion inhibitors are widely used to mitigate safety risks and economic losses in engineering, yet post-adsorption processes remain underexplored. In this study, we employed density functional theory calculations with a periodic model to investigate the dissociation mechanisms of imidazole on the Fe(100) surface. Imidazole was found to adsorb optimally in a parallel orientation, with an adsorption energy of −0.88 eV. We explored two dissociation pathways: CH and NH bond cleavages and found CH dissociation having a lower activation barrier of 0.46 eV. Intriguingly, an alternative indirect route CH dissociation pathway involving a tilted intermediate state was found to be competitive. Both indirect and direct CH dissociation pathways are energetically more favorable than NH cleavage. Molecular dynamics simulations reveal that indirect CH dissociation occurs rapidly. This study proposes an alternative protective mechanism involving dissociated imidazole inhibitors, offering new insights for corrosion inhibitor design.

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对缓蚀机制的计算见解:咪唑在铁表面的解离
缓蚀剂广泛用于降低工程中的安全风险和经济损失,但吸附后工艺仍未得到充分研究。本研究采用密度泛函理论计算和周期模型研究咪唑在Fe(100)表面的解离机理。咪唑在平行方向上的吸附效果最好,吸附能为- 0.88 eV。我们探索了C - H键和N - H键两种解离途径,发现C - H键的解离具有较低的0.46 eV的激活势垒。有趣的是,另一种间接途径C - H离解途径涉及倾斜的中间状态,被发现是竞争性的。间接和直接的C - H解离途径在能量上都比N - H解离更有利。分子动力学模拟表明间接C - H解离发生迅速。本研究提出了一种涉及解离咪唑抑制剂的替代保护机制,为缓蚀剂的设计提供了新的见解。
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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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