Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques
Abstract Selecting effective corrosion inhibitors from the vast chemical space is not a trivial task, as it is essentially infinite. Fortunately, machine learning techniques have shown great potential in generating shortlists of inhibitor candidates prior to large-scale experimental testing. In this...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-023-00384-z |