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.17386667
Primary Topic
Developmental Biology and Gene Regulation
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Developmental Biology and Gene Regulation
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 44%
Developmental Biology and Gene Regulation
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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