Search Results - Paramasivam P.

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  1. 1
    Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Therm. Eng. 54, (February 2024), 104087] (Case Studies in Thermal Engineering (2024) 54, (S2214157X24001187), (10.1016/j.csite.2024.104087))

    Corrigendum to ?Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption? [Case Stud. Ther... by Praveen Kumar K., Khedkar R., Sharma P., Madurai Elavarasan R., Paramasivam P., Vicki Wanatasanappan V., Dhanasekaran S.

    Published 2025
    Erratum
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  2. 2
    A critical review on MXene as promising photovoltaic materials

    A critical review on MXene as promising photovoltaic materials by Kanti P.K., Jayan K D., Swapnalin J., Banerjee P., Paramasivam P., Wanatasanappan V.V.

    Published 2025
    Review
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  3. 3
    Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids

    Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids by Kanti P.K., Paramasivam P., Wanatasanappan V.V., Dhanasekaran S., Sharma P.

    Published 2025
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  4. 4
    Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption

    Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption by Praveen Kumar K., Khedkar R., Sharma P., Elavarasan R.M., Paramasivam P., Wanatasanappan V.V., Dhanasekaran S.

    Published 2025
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