Corrosion Inhibition Properties of Phenyl Phthalimide Derivatives against Carbon Steel in the Acidic Medium: DFT, MP2, and Monte Carlo Simulation Studies

Unravelling the effects of functional groups on the adsorption of 2-mercaptobenzothiazole on a copper surface: a DFT study

The adsorption of organic compounds onto metal surfaces holds significant importance across various applications, where understanding the intricate interactions between the compounds and the metal surfaces is indispensable. By using density functional theory calculations, this study investigated the impact of functional groups on the interaction between the thione form of 2-mercaptobenzothiazole (MBT) and the Cu(111) surface. The results indicated that substituting functional groups at the C6 position exerts a dual influence on the covalent and non-covalent interactions (NCI). Electron-donating groups enhanced both covalent and non-covalent interactions, whereas electron-withdrawing groups decreased covalent while increasing non-covalent interactions. The covalent interaction between MBTs and Cu(111) is mainly governed by the electron donation from the occupied orbitals of the molecules to the conduction band of copper, with the absolute interaction energies (eV) increasing in the order of MBT-NO2 (0.629) < MBT-COOH (0.660) < MBT-Cl (0.699) < MBT (0.715) < MBT-SH (0.727) < MBT-OH (0.733) < MBT-CH3 (0.735) < MBT-OCH3 (0.749) < MBT-NH2 (0.781) < MBT-NHCH3 (0.792). The influence of functional groups on covalent interactions is clarified by examining changes in the molecule's electronic structure, revealing a linear relationship between covalent interaction energy and HOMO energy, or the Hammett substituent constant. However, the impact of functional groups on non-covalent interactions is more complex and cannot be described by changes in the electronic structure. A novel parameter, the substitution interaction energy, was proposed to capture the effect of functional groups on the NCI-included adsorption energy of MBT derivatives on the Cu(111) surface. The stronger the substitution interaction, the stronger the NCI-included interaction of MBTs on Cu(111). The absolute NCI-included interaction energies follow the order of MBT (2.141) < MBT-Cl (2.213) < MBT-COOH (2.266) < MBT-CH3 (2.294) < MBT-OH (2.331) < MBT-OCH3 (2.379) < MBT-NO2 (2.461) = MBT-NH2 (2.461) < MBT-SH (2.530) < MBT-NHCH3 (2.565). These insights offer valuable guidance for manipulating the adsorption of organic substances on metal surfaces through functional groups in diverse applications.

A data-driven QSPR model for screening organic corrosion inhibitors for carbon steel using machine learning techniques

Machine learning (ML) techniques have shown great potential for screening corrosion inhibitors. In this study, a data-driven quantitative structure-property relationship (QSPR) model using the gradient boosting decision tree (GB) algorithm combined with the permutation feature importance (PFI) technique was developed to predict the corrosion inhibition efficiency (IE) of organic compounds on carbon steel. The results showed that the PFI method effectively selected the molecular descriptors most relevant to the IE. Using these important molecular descriptors, an IE predictive model was trained on a dataset encompassing various categories of organic corrosion inhibitors for carbon steel, achieving RMSE, MAE, and R2 of 6.40%, 4.80%, and 0.72, respectively. The integration of GB with PFI within the ML workflow demonstrated significantly enhanced IE predictive capability compared to previously reported ML models. Subsequent assessments involved the application of the trained model to drug-based corrosion inhibitors. The model demonstrates robust predictive capability when validated on available and our own experimental results. Furthermore, the model has been employed to predict IE for more than 1500 drug compounds, suggesting five novel drug compounds with the highest predicted IE on carbon steel. The developed ML workflow and associated model will be useful in accelerating the development of next-generation corrosion inhibitors for carbon steel.

Synthesis, Characterization, and Properties of Sila-Annulated Phenanthrene Imides

A series of sila-annulated phenanthrene imides were synthesized through a three-step synthetic route, which represent a hybrid class of biphenyl-based π-conjugated molecules incorporating an imide unit and silole. A comprehensive investigation of their structural, photophysical, and electronic properties was studied by experiment and theoretical calculations. Notably, sila-annulated phenanthrene imides with significant aggregation-induced emission (AIE) properties were observed.

DFT Study on Corrosion Inhibition by Tetrazole Derivatives: Investigation of the Substitution Effect

Corrosion is one of the problems that most industries face. Our aim in the current study is to perform density functional theory calculations and Monte Carlo simulation to theoretically investigate the corrosion inhibition of the copper (1 1 1) surface by tetrazole molecules and a group of their derivatives. These compounds have electron-donating groups (CH₃, CH₃O, and OH) and electron-withdrawing groups (F, CN, and NO₂). Two different isomeric forms of tetrazole molecules and their derivatives, including 1H and 2H tautomers, were studied in two configurations, parallel and perpendicular to the Cu (1 1 1) surface. With the help of DMol3 calculations, the most important parameters related to the molecular ability of tetrazole derivatives as corrosion inhibitors include the adsorption energy (ΔE), E _HOMO, E _LUMO, E _gap, and issues related to chemical reactions, including total hardness (η), electronegativity (χ), and electron fraction transitions from the anti-corrosion molecule to the copper atom (ΔN), were calculated and compared in the tetrazole molecules and their derivatives. Also, with the help of adsorption locator calculations, the inhibitory effects of these compounds were theoretically investigated in an acidic environment. Through these calculations, it was determined that tetrazole molecules with electron-donating groups adsorbed perpendicularly to the copper (1 1 1) surface, by forming a stronger bond, are considered suitable corrosion inhibitors. Also, among the examined molecules, the 2H-tetrazole isomer form plays a more influential role than the 1H-tetrazole form.