DFT, MC, and MD investigation of H₂MoO₄ adsorption on model AISI 304 stainless steel surfaces: effects of inhibitor loading, temperature, and confined shear
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引用次数: 0
Abstract
Context
Molybdate-based inhibitors are promising candidates for corrosion protection of stainless steels; however, the molecular mechanisms controlling their adsorption behavior under different interfacial conditions remain insufficiently understood. This study investigates the adsorption behavior of H₂MoO₄ on model surfaces relevant to AISI 304 stainless steel, focusing on the effects of inhibitor loading, temperature, and confined shear. Electronic-structure analysis revealed that oxygen-containing regions act as electron-donating sites, whereas the Mo-centered region exhibits electron-accepting characteristics. Molecular simulations showed favorable adsorption interactions on Fe(110) and a representative Cr₂O₃–Fe₂O₃–NiO passive oxide model. Increasing inhibitor loading enhanced the overall adsorption interaction, while temperature affected adsorption energetics without a monotonic trend. Under confined shear conditions, H₂MoO₄ maintained a predominantly parallel orientation relative to the surface, indicating stable adsorption behavior under the investigated conditions.
Methods
Density functional theory (DFT), Monte Carlo (MC), and molecular dynamics (MD) simulations were performed using Materials Studio. DFT calculations were carried out using the DMol3 module with the GGA/PBE functional and DNP basis set. HOMO, LUMO, and condensed Fukui function analyses were used to evaluate molecular reactivity. Adsorption configurations were obtained using Monte Carlo simulations with the Metropolis method and Universal force field. MD simulations were performed using the Forcite module with the Universal force field under the NVT ensemble to analyze adsorption behavior under different inhibitor loading, temperature, and confined-shear conditions.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.