2024
DOI: 10.1038/s41529-024-00435-z
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Laying the experimental foundation for corrosion inhibitor discovery through machine learning

Can Özkan,
Lisa Sahlmann,
Christian Feiler
et al.

Abstract: Creating durable, eco-friendly coatings for long-term corrosion protection requires innovative strategies to streamline design and development processes, conserve resources, and decrease maintenance costs. In this pursuit, machine learning emerges as a promising catalyst, despite the challenges presented by the scarcity of high-quality datasets in the field of corrosion inhibition research. To address this obstacle, we have created an extensive electrochemical library of around 80 inhibitor candidates. The ele… Show more

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