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 quantitative structure–property relationship (QSPR) model based on an ML approach to predict the CIE values of three ne...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2023-12-01
|
| シリーズ: | Results in Chemistry |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S221171562300365X |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|