4.7 Article

A comparative density functional theory and molecular dynamics simulation studies of the corrosion inhibitory action of two novel N-heterocyclic organic compounds along with a few others over steel surface

期刊

JOURNAL OF MOLECULAR LIQUIDS
卷 215, 期 -, 页码 486-495

出版社

ELSEVIER
DOI: 10.1016/j.molliq.2016.01.024

关键词

Steel; Pyrazine derivatives; DFT calculations; MD simulation

资金

  1. Department of Science and Technology, Govt. of India [SB/FT/CS-003/2012, GAP-183112]
  2. Department of Science and Technology (DST), New Delhi, India

向作者/读者索取更多资源

Four novel pyrazine derivatives namely 2-aminopyrazine (AP), 2-amino-5-bromopyrazine (ABP), 3-amino pyrazine-2-thiol (APT) and 3-amino-6-bromopyrazine-2-thiol (ABPT) are investigated for their possible utilization as corrosion inhibitors by computational chemistry using density functional theory (DFT) and molecular dynamics (MD) simulation. Organic molecules (AP and ABP) along with two other similar organic framework (APT and ABPT) having an additional -SH group have been thoroughly investigated as corrosion inhibitors by means of theoretical investigation (DFT and MD simulation) with a vision that they can perform better. Their corrosion inhibition property have been calculated by several energy parameters like E-HOMO, E-LUMO, energy gap (Delta E), electronegativity (chi), softness (S) and fraction of electron transferred from inhibitor molecule to metallic atom (Delta N). Local reactivity of these molecules has been studied through Fukui indices. Significantly, DFT and MD simulation results are in well agreement with experimental outcomes for AP and ABP. Moreover the theoretical results show that -SH based pyrazine derivatives i.e.; APT and ABPT, are even better potential candidate as corrosion resistant. Theoretical outcome reflects that introduction of -SH group will result betterment towards inhibition property. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据