Analysis of Power-Law Fin-Type Problems using Physics Informed Neural Networks Cover

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Analysis of Power-Law Fin-Type Problems using Physics Informed Neural Networks

Journal of Applied Engineering Sciences

Volume 15 (2025): Issue 2 (December 2025)

By: M. Göçer, S.B. Coşkun and M.T. Atay

Open Access

|Dec 2025

Authors

M. Göçer

mrtgocer@gmail.com

Kocaeli University, Faculty of Engineering, Civil Engineering Dept, Türkiye

S.B. Coşkun

sb.coskun@kocaeli.edu.tr

Kocaeli University, Faculty of Engineering, Civil Engineering Dept, Türkiye

M.T. Atay

ataymt@yahoo.com

Abdullah Gül University, Faculty of Engineering, Dept. of Engineering Sciences, Türkiye

DOI: https://doi.org/10.2478/jaes-2025-0026 | Journal eISSN: 2284-7197

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Language: English

Page range: 221 - 228

Submitted on: Jun 17, 2025

Accepted on: Jul 2, 2025

Published on: Dec 15, 2025

Published by: University of Oradea, Civil Engineering and Architecture Faculty

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

physics-informed neural networks,

fin-type problems,

nonlinear heat conduction,

Related subjects:

Introductions and overviews,

Engineering, other,

Electrical engineering,

Energy engineering,

Geosciences, other

© 2025 M. Göçer, S.B. Coşkun, M.T. Atay, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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