2020
DOI: 10.20964/2020.10.172
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Correction to: “Experimental, DFT and QSAR models for the discovery of new pyrazines corrosion inhibitors for steel in oilfield acidizing environment” [Int. J. Electrochem. Sci., 15 (2020) 9066 - 9080; doi: 10.20964/2020.09.72]

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“…SAR analysis helps to predict the inhibition efficiency of new compounds based on their structural features, thus aiding in the rational design and optimization of corrosion inhibitors. 8,9 In a recent paper, Y. Chen et al have synthesized two novel morpholinyl mannich bases namely 3-morpholino-1-phenylpropan-1-one (MB1) and 3-morpholino-1-phenyl-3-(pyridin-4yl) propan-1-one (MB2) and then investigated their inhibitory performance against N80 steel corrosion in 1.0 M HCl solution using several laboratory techniques. 10 However, there is no computational work has been performed yet to comprehend the experimental observation related to the previous study.…”
Section: Introductionmentioning
confidence: 99%
“…SAR analysis helps to predict the inhibition efficiency of new compounds based on their structural features, thus aiding in the rational design and optimization of corrosion inhibitors. 8,9 In a recent paper, Y. Chen et al have synthesized two novel morpholinyl mannich bases namely 3-morpholino-1-phenylpropan-1-one (MB1) and 3-morpholino-1-phenyl-3-(pyridin-4yl) propan-1-one (MB2) and then investigated their inhibitory performance against N80 steel corrosion in 1.0 M HCl solution using several laboratory techniques. 10 However, there is no computational work has been performed yet to comprehend the experimental observation related to the previous study.…”
Section: Introductionmentioning
confidence: 99%