Convolutional neural networks for heat conduction
This paper presents a data-driven approach to solve heat conduction problems, in particular 2D heat conduction problems. The physical laws which govern such problems are modeled by partial differential equations. We examine temperature distributions of conductors that have square geometry subjected...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-10-01
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Series: | Case Studies in Thermal Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22003355 |