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Investigation of corrosion Inhibition capability of ionic liquid: a machine learning approach.

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Title: Investigation of corrosion Inhibition capability of ionic liquid: a machine learning approach.
Authors: Akrom, Muhamad1 m.akrom@dsn.dinus.ac.id, Rustad, Supriadi1 srustad@dsn.dinus.ac.id, Dipojono, Hermawan Kresno2 dipojono@itb.ac.id, Kasai, Hideaki3, Solomon, Moses4
Source: Brazilian Journal of Chemical Engineering. Jun2026, Vol. 43 Issue 2, p861-880. 20p.
Database: Academic Search Ultimate
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  Data: Investigation of corrosion Inhibition capability of ionic liquid: a machine learning approach.
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  Data: <searchLink fieldCode="AR" term="%22Akrom%2C+Muhamad%22">Akrom, Muhamad</searchLink><relatesTo>1</relatesTo><i> m.akrom@dsn.dinus.ac.id</i><br /><searchLink fieldCode="AR" term="%22Rustad%2C+Supriadi%22">Rustad, Supriadi</searchLink><relatesTo>1</relatesTo><i> srustad@dsn.dinus.ac.id</i><br /><searchLink fieldCode="AR" term="%22Dipojono%2C+Hermawan+Kresno%22">Dipojono, Hermawan Kresno</searchLink><relatesTo>2</relatesTo><i> dipojono@itb.ac.id</i><br /><searchLink fieldCode="AR" term="%22Kasai%2C+Hideaki%22">Kasai, Hideaki</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Solomon%2C+Moses%22">Solomon, Moses</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Brazilian+Journal+of+Chemical+Engineering%22">Brazilian Journal of Chemical Engineering</searchLink>. Jun2026, Vol. 43 Issue 2, p861-880. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195093496
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      – Type: doi
        Value: 10.1007/s43153-025-00579-8
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 861
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      – TitleFull: Investigation of corrosion Inhibition capability of ionic liquid: a machine learning approach.
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            NameFull: Akrom, Muhamad
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            NameFull: Rustad, Supriadi
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            NameFull: Dipojono, Hermawan Kresno
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 43
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