№ files_lp_4_process_3_113810
Computational chemistry research article analyzing Cola acuminata extract components as potential corrosion inhibitors through quantum chemical parameters correlated with experimental efficiency.
Year: 2026
Region / City: Ile Oluji, Ondo State, Nigeria
Subject: Corrosion inhibition, quantum chemical analysis
Document Type: Research article
Institution: Not specified
Author: Not specified
Target Audience: Researchers in computational chemistry and corrosion science
Methodology: Hartree-Fock Density Functional Theory (HF-DFT), Gas Chromatography-Mass Spectrometry (GC-MS), High-Performance Liquid Chromatography (HPLC)
Key Compounds: Cola acuminata extract components
Parameters Analyzed: EHOMO, ELUMO, energy gap (ΔE), dipole moment (μ), absolute hardness (η), softness (S), electron affinity (A), ionization energy (I)
Purpose: Investigation of agreement between quantum chemical predictions and experimental inhibition efficiencies
Price: 8 / 10 USD
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