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

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17386666

Authors: Hamid Qureshi, Tazeen, Athar

Institutions: Government College Asghar Mall Rawalpindi, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology

Language: English

Topic: Nanofluid Flow and Heat Transfer

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

OpenAlex ID: W7092355974

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