SMILES-based machine learning enables the prediction of corrosion inhibition capacity
Crossref DOI link: https://doi.org/10.1557/s43579-024-00551-6
Published Online: 2024-04-15
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Akrom, Muhamad https://orcid.org/0000-0003-3249-110X
Rustad, Supriadi
Dipojono, Hermawan Kresno
Text and Data Mining valid from 2024-04-15
Version of Record valid from 2024-04-15
Article History
Received: 25 January 2024
Accepted: 3 April 2024
First Online: 15 April 2024
Declarations
:
: The authors declare no competing financial interests or personal relationships that may have influenced the results reported in this paper.