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Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors |
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| Institution: | 1. Chemistry Department, College of Science, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, Saudi Arabia;2. Materials Science Research Institute, Center of Excellence for Aeronautics and Astronautics (CEAA) at King Abdulaziz City for Science and Technology (KACST) and Stanford University, Riyadh 11442, Saudi Arabia |
| Abstract: | |
| Keywords: | Machine Learning models Corrosion inhibitors Pyrimidines Carbon steel Hydrochloric acid |
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