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Experimental studies and machine learning approaches for thermal parameters prediction and data analysis in closed-loop pulsating heat pipes with Al2O3-DI water nanofluid

Crossref DOI link: https://doi.org/10.1007/s10973-024-13859-1

Published Online: 2024-12-16

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Parmar, Kamlesh https://orcid.org/0000-0003-3348-0795
Parmar, Nirmal https://orcid.org/0000-0003-4603-1550
Parwani, Ajit Kumar https://orcid.org/0000-0002-7819-1826
Tripathi, Sumit https://orcid.org/0000-0003-4074-3901
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Text and Data Mining valid from 2024-12-16

Version of Record valid from 2024-12-16
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Article History

Received: 26 July 2024

Accepted: 19 November 2024

First Online: 16 December 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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