Corrosion poses a significant challenge for metals and alloys, carrying considerable economic and safety consequences. Various manufacturing processes, including surface preparation techniques, further exacerbate it. While corrosion inhibitors are employed to safeguard these materials from corrosion, they can also induce oxidative damage. This study aims to determine the corrosion inhibition efficiency of the specified materials. Density Functional Theory (DFT) and molecular dynamics simulations (MDS) were used to investigate the electronic characteristics of diverse compounds. The study included key parameters including highest occupied molecular orbital energy (EHOMO), lowest unoccupied molecular orbital energy (ELUMO), energy gap (Eg) between ELUMO and EHOMO, dipole moment, global hardness, softness (σ), ionization energy (I), electron affinity (A), electronegativity (χ), back-donation energy Eb-d, global electrophilicity (ω), electron transfer, global nucleophilicity (ε), and total energy (sum of electronic and zero-point energies). The calculations were executed utilizing the DFT method, employing a 6-311G++(d,p) basis set at the B3LYP level. Our research aimed to rank materials based on their effectiveness in inhibiting corrosion by considering EHOMO, ELUMO, and Eg. The order of effectiveness was found to be as follows: S4 > S3 > S1 > Mad1 > Mad3 > Mad4 > P-azo > Bad4. Additionally, our Investigation delved into alterations in electron affinity (A) and ionization potential (I) within different solvent phases, highlighting their importance in determining the chemical reactivity and stability of the studied compounds. The reactive sites were selected using Fukui indices, and the molecular electrostatic potential (MESP) surface was characterized—a Monte Carlo simulation to further understand these chemicals' adsorption behavior on Fe (110) surfaces. Our findings revealed that these compounds exhibit corrosion inhibition potential due to their high EHOMO, A, σ, ΔN, ΔE-back-donation, and low Eg, ELUMO, I, and η. Moreover, our MESP surface analysis demonstrated their ability to donate electrons to the metal's d-orbitals and receive electrons through back-donation. The compounds investigated in this study exhibit the potential to be employed as corrosion inhibitors in various industrial sectors. As a result, through the use and determination of quantum computational chemistry parameters, the level of corrosion resistance was as follows S3 > S1 > Bad4 > Mad4 > Mad3 > S4 > Mad1 > P-azo.
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