Deep Learning Approach to Natural Convection Heat Transfer in a Cavity: A Simulation Dataset for Nano-Encapsulated Phase Change Material Suspensions

Big data images for natural convection flow and heat transfer (nano-encapsulated phase change suspensions)
The related paper has been published here:
Edalatifar, M., M.B. Tavakoli, and F. Setoudeh, A Deep Learning Approach to Predict the Flow Field and Thermal ‎Patterns of Nonencapsulated Phase Change Materials ‎Suspensions in an Enclosure‎. Journal of Applied and Computational Mechanics, 2021.
Links:
https://doi.org/10.22055/JACM.2021.37805.3092
https://jacm.scu.ac.ir/article_16903.html

Keywords: Deep convolutional neural networks - Loss function - Heat transfer images - Physical images - Artificial intelligence - CFD - Computational fluids dynamics - Finite element method -Dirichlet boundary condition
Nano-encapsulated phase-change suspension; natural convection flow and heat transfer; deep convolutional neural networks; deep learning