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

IF 3.4 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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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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