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Analysis of Power-Law Fin-Type Problems using Physics Informed Neural Networks
By: M. Göçer, S.B. Coşkun and M.T. Atay
DOI: https://doi.org/10.2478/jaes-2025-0026 | Journal eISSN: 2284-7197
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
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© 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.