Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks

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Title:: Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks
Document type:: Zeitschriftenaufsatz
Author(s):: Sun, Yang ; Elhanashi, Abdussalam ; Ma, Hao ; Chiarelli, Mario Rosario
Keywords:: Article ; steady heat conduction ; layout optimization ; deep learning ; convolutional neural networks ; physics-driven method ; particle swarm optimization
Journal title:: Applied Sciences
Year:: 2022
Journal volume:: 12
Journal issue:: 21
Fulltext / DOI:: doi:10.3390/app122110986
Publisher:: MDPI
E-ISSN:: 2076-3417
Date of publication:: 30.10.2022
CC license:: by, https://creativecommons.org/licenses/by/4.0

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