Computational insights into quinoxaline-based corrosion inhibitors of steel in HCl: Quantum chemical analysis and QSPR-ANN studies

Computational insights into quinoxaline-based corrosion inhibitors of steel in HCl: Quantum chemical analysis and QSPR-ANN studies

The inhibition of mild steel deterioration via organic substances has become popular nowadays. Among the myriads of organic substances applied as potential inhibitors, quinoxalines stand out as toxic-free, cheap and effective compounds in different electrolytes. This report investigates the computat...

Full description

Bibliographic Details
Main Authors: Taiwo W. Quadri, Lukman O. Olasunkanmi, Omolola E. Fayemi, Hassane Lgaz, Omar Dagdag, El-Sayed M. Sherif, Awad A. Alrashdi, Ekemini D. Akpan, Han-Seung Lee, Eno E. Ebenso
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Arabian Journal of Chemistry
Subjects:
Corrosion inhibitors
Quinoxalines
Molecular descriptors
Quantitative structure property relationship
Ordinary least squares regression
Artificial neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1878535222001861

Internet

http://www.sciencedirect.com/science/article/pii/S1878535222001861

Similar Items