A physics-informed machine learning prediction for thermal analysis in a convective-radiative concave fin with periodic boundary conditions

DOI10.1002/zamm.202300712zbMath1545.35204MaRDI QIDQ6591032

Channaiah Somashekar, Kallur Venkat Nagaraja, Pudhari Srilatha, Nehad Ali Shah, Kalachar Karthik, Unnamed Author, Unnamed Author

Publication date: 21 August 2024

Published in: ZAMM. Zeitschrift für Angewandte Mathematik und Mechanik (Search for Journal in Brave)

zbMATH Keywords

heat dissipationadiative-convective concave finmachine learning prediction

Mathematics Subject Classification ID

Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Free convection (76R10) Finite difference methods for boundary value problems involving PDEs (65N06) PDEs in connection with classical thermodynamics and heat transfer (35Q79) Diffusive and convective heat and mass transfer, heat flow (80A19) PDEs on graphs and networks (ramified or polygonal spaces) (35R02) Radiative heat transfer (80A21)

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