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...

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Detalles Bibliográficos

Autores principales:	Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2023-12-01
Colección:	Results in Chemistry
Materias:	Machine learning QSPR Corrosion inhibitor Amino acid
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S221171562300365X
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