Machine learning investigation to predict corrosion inhibition capacity of new amino acid compounds as corrosion inhibitors

This scientific paper aims to investigate the best machine learning (ML) for predicting the corrosion inhibition efficiency (CIE) value of amino acid compounds. The study applied a quantitative structure–property relationship (QSPR) model based on an ML approach to predict the CIE values of three ne...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2023-12-01
Sarja:	Results in Chemistry
Aiheet:	Machine learning QSPR Corrosion inhibitor Amino acid
Linkit:	http://www.sciencedirect.com/science/article/pii/S221171562300365X
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