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A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors.

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Title: A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors.
Authors: Trisnapradika, Gustina Alfa1 (AUTHOR), Akrom, Muhamad1 (AUTHOR) m.akrom@dsn.dinus.ac.id, Rustad, Supriadi1 (AUTHOR), Dipojono, Hermawan Kresno2 (AUTHOR), Maezono, Ryo3 (AUTHOR), Kasai, Hideaki4 (AUTHOR)
Source: Theoretical Chemistry Accounts: Theory, Computation, & Modeling. Jan2025, Vol. 144 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182280292
RecordInfo BibRecord:
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        Value: 10.1007/s00214-024-03165-2
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      – Code: eng
        Text: English
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      – TitleFull: A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors.
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            NameFull: Trisnapradika, Gustina Alfa
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            NameFull: Rustad, Supriadi
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            NameFull: Dipojono, Hermawan Kresno
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            NameFull: Maezono, Ryo
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              M: 01
              Text: Jan2025
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              Y: 2025
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