Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors
Pyrimidines have been shown as promising nontoxic corrosion inhibitors for carbon steel in acid media that can replace toxic chemicals currently in use. However, the discovery of this important corrosion inhibitor has mainly be conducted by expensive trial and error experimental approaches. However,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Journal of Saudi Chemical Society |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319610322001181 |