Understanding the synergistic inhibition effect of hydrosol extract derivatives as eco-friendly anti-corrosive for copper alloy: GC–MS Identification, An Electrochemical …
The research on green sources of corrosion inhibitors has gained significant traction in
recent times due to their cost-effectiveness and environmentally friendly nature. In this study …
recent times due to their cost-effectiveness and environmentally friendly nature. In this study …
Examination of the main chemical components of essential oil of Syzygium aromaticum as a corrosion inhibitor on the mild steel in 0.5 M HCl medium
The study delves into the versatile applications of essential oils, natural aromatic
compounds derived from plants through hydro-distillation or cold extraction, across …
compounds derived from plants through hydro-distillation or cold extraction, across …
Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors
This paper proposes a quantitative structure–property relationship model (QSPR) based on
machine learning (ML) for a pyrimidine-pyrazole hybrid as a corrosion inhibitor. Based on …
machine learning (ML) for a pyrimidine-pyrazole hybrid as a corrosion inhibitor. Based on …
A combination of machine learning model and density functional theory method to predict corrosion inhibition performance of new diazine derivative compounds
This study proposes a novel approach that combines machine learning (ML) and density
functional theory (DFT) methods to construct a quantitative structure-properties relationship …
functional theory (DFT) methods to construct a quantitative structure-properties relationship …
[HTML][HTML] Machine learning investigation to predict corrosion inhibition capacity of new amino acid compounds as corrosion inhibitors
This scientific paper aims to investigate the best machine learning (ML) for predicting the
corrosion inhibition efficiency (CIE) value of amino acid compounds. The study applied a …
corrosion inhibition efficiency (CIE) value of amino acid compounds. The study applied a …
[HTML][HTML] A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds
In this investigation, a quantitative structure-property relationship (QSPR) model coupled
with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency …
with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency …
[HTML][HTML] A feature restoration for machine learning on anti-corrosion materials
Materials informatics often struggles with small datasets. Our study introduces the Gaussian
Mixture Model Virtual Sample Generation (GMM-VSG) approach to enhance feature …
Mixture Model Virtual Sample Generation (GMM-VSG) approach to enhance feature …
Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds
This investigation employs a quantum neural network (QNN) synergistically integrated with a
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …
A machine learning approach to predict the efficiency of corrosion inhibition by natural product-based organic inhibitors
This paper presents a quantitative structure–property relationship (QSPR)-based machine
learning (ML) framework designed for predicting corrosion inhibition efficiency (CIE) values …
learning (ML) framework designed for predicting corrosion inhibition efficiency (CIE) values …
Study on the corrosion inhibitory performance of Pomacea canaliculata extract as a corrosion inhibitor for carbon steel in acidic environments
Q Wang, Q Zhang, C Zhao, R Wang, X Zhou… - Journal of Molecular …, 2024 - Elsevier
Pomacea canaliculata meat extract (PCE) was explored as a multifunctional green corrosion
inhibitor on carbon steel (CS) in 1 M HCl and 0.5 MH 2 SO 4. The results showed that PCE …
inhibitor on carbon steel (CS) in 1 M HCl and 0.5 MH 2 SO 4. The results showed that PCE …