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Machine learning models and computational simulation techniques for prediction of anti-corrosion properties of novel benzimidazole derivatives 期刊论文
MATERIALS TODAY COMMUNICATIONS, 2024, 卷号: 41, 页码: 23
作者:  Ekeocha, Christopher Ikechukwu;  Uzochukwu, Ikechukwu Nelson;  Etim, Ini-Ibehe Nabuk;  Onyeachu, Benedict Ikenna;  Oguzie, Emeka Emmanuel
收藏  |  浏览/下载：9/0  |  提交时间：2024/12/20
Corrosion inhibitors  DFT  MD simulation  predictive model  machine learning  
Synergism of Computational Simulation Technique and Machine Learning Algorithm for Prediction of Anticorrosion Properties of Some Antipyrine Derivatives 期刊论文
JOURNAL OF PHYSICAL CHEMISTRY A, 2024, 页码: 25
作者:  Ekeocha, Christopher Ikechukwu;  Uzochukwu, Ikechukwu Nelson;  Onyeachu, Ikenna Benedict;  Etim, Ini-Ibehe Nabuk;  Oguzie, Emeka Emmanuel
收藏  |  浏览/下载：21/0  |  提交时间：2024/12/20
Theoretical study of novel antipyrine derivatives as promising corrosion inhibitors for mild steel in an acidic environment 期刊论文
STRUCTURAL CHEMISTRY, 2024, 页码: 17
作者:  Ekeocha, Christopher Ikechukwu;  Uzochukwu, Ikechukwu Nelson;  Onyeachu, Ikenna Benedict;  Etim, Ini-Ibehe Nabuk;  Oguzie, Emeka Emmanuel
收藏  |  浏览/下载：7/0  |  提交时间：2024/12/20
Acid cleaning  Antipyrine derivatives  Corrosion inhibitors  DFT  MD simulation  Mild steel