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Chinese Academy of Sciences Institutional Repositories Grid
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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  OAI收割
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:6/0  |  提交时间:2024/12/20
Synergism of Computational Simulation Technique and Machine Learning Algorithm for Prediction of Anticorrosion Properties of Some Antipyrine Derivatives 期刊论文  OAI收割
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:1/0  |  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  OAI收割
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:6/0  |  提交时间:2024/12/20