Work

Computational simulation of natural convection of NEPCM nanofluid in a finned cylindrical annulus using GA-assisted machine learning

Year: 2025

Type: article

Source: International Journal of Numerical Methods for Heat &amp Fluid Flow

DOI: 10.1108/hff-09-2025-0647

Authors: H. Thameem Basha, Younghae Do, Bongsoo Jang

Institutions: Ulsan National Institute of Science and Technology, Kyungpook National University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Research Foundation of Korea

Awards: G3690482770, G8804409446

OpenAlex ID: W7117548601

FWCI: 1.241

Cites: 56

Cited by: 5

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