AI-Based Thermal Analysis Framework for Penta Hybrid Nanofluids (PHNFs)

The growing global need for efficient thermal management for electronic cooling, heavy industries, energy storage devices and biomedical applications have driven significant interest in hybrid nanofluids, due to its superior thermal exchange capabilities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-18
DOI
https://doi.org/10.5281/zenodo.17386666
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
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article

AI-Based Thermal Analysis Framework for Penta Hybrid Nanofluids (PHNFs)

Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
article

AI-Based Thermal Analysis Framework for Penta Hybrid Nanofluids (PHNFs)

article en

Abstract

The growing global need for efficient thermal management for electronic cooling, heavy industries, energy storage devices and biomedical applications have driven significant interest in hybrid nanofluids, due to its superior thermal exchange capabilities.

Zenodo (CERN European Organization for Nuclear Research)
South Texas College (US), Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK)
Affordable and clean energy
Openalex Percentile: Top 23%
Data Analysis with R
DOIOpen Access PDFOpenAlex
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AI-Based Thermal Analysis Framework for Penta Hybrid Nanofluids (PHNFs) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS