journal article Open Access Jan 01, 2024

A data-driven QSPR model for screening organic corrosion inhibitors for carbon steel using machine learning techniques

RSC Advances Vol. 14 No. 16 pp. 11157-11168 · Royal Society of Chemistry (RSC)
View at Publisher Save 10.1039/d4ra02159b
Abstract
An advanced machine learning workflow integrating the gradient boosting decision tree (GB) algorithm and the permutation feature importance (PFI) technique has been proposed to predict the corrosion inhibition efficiency (IE) of organic compounds.
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