A dataset for conduction heat transfer and deep learning
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https://data.mendeley.com/datasets/rw9yk3c559
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资源简介：
Big data images for conduction heat transfer
The related paper has been published here:
Edalatifar, Mohammad, Mohammad Bagher Tavakoli, Mohammad Ghalambaz, and Farbod Setoudeh. "Using deep learning to learn physics of conduction heat transfer." Journal of Thermal Analysis and Calorimetry 146, no. 3 (2021): 1435-1452.
Links:
https://doi.org/10.1007/s10973-020-09875-6
https://link.springer.com/article/10.1007/s10973-020-09875-6
Mohammad Edalatifar, Mohammad Ghalambaz, Mohammad Bagher Tavakoli, Farbod Setoudeh, New loss functions to improve deep learning estimation of heat transfer, Neural Computing and Applications
Link:
https://doi.org/10.1007/s00521-022-07233-1
Keywords: Deep convolutional neural networks - Loss function - Heat transfer images - Physical images - Artificial intelligence - CFD - Computational fluids dynamics - Finite volume method - Laplace equation - Dirichlet boundary condition
创建时间：
2022-04-27
