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Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model.

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Title: Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model.
Authors: Abbas, Munawar1, m.abbas7478@gmail.com, Darem, Abdulbasit A.2, basitdarem40@gmail.com, Elhag, Ahmed Babeker3, Alhashmi, Asma A.4, Alkhaldi, Tareq M.5, Farkhad, Durdana Rustamova6, Bayram, Mustafa7
Source: Discover Nano; 5/18/2026, Vol. 21 Issue 1, p1-21, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193841143
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Discover+Nano%22">Discover Nano</searchLink>; 5/18/2026, Vol. 21 Issue 1, p1-21, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193841143
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      – Type: doi
        Value: 10.1186/s11671-026-04513-w
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      – Code: eng
        Text: English
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      – TitleFull: Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model.
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            NameFull: Darem, Abdulbasit A.
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            NameFull: Alkhaldi, Tareq M.
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              M: 05
              Text: 5/18/2026
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              Y: 2026
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