A novel macro-scale machine learning prediction based on high-fidelity CFD simulations: A case study on the pore-scale porous Trombe wall with phase change material capsulation

In the present study, multi-layer calculations loops based on machine learning used to simulate the flow pattern and the thermal behavior through pore scale porous media (PSPM) walls, including phase-change materials (PCMs) in Trombe walls. A study of the thermal behavior of PSPM walls over a 24 hr...

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Bibliographic Details

Published in:	Journal of building engineering Vol. 54. P. 104505 (1-19)
Other Authors:	Saboori, Tabassom, Zhao, Lei, Mesgarpour, Mehrdad, Wongwises, Somchai, Mahian, Omid
Format:	Article
Language:	English
Subjects:	машинное обучение материалы с фазовым переходом Монте-Карло метод статьи в журналах
Online Access:	http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000089 Перейти в каталог НБ ТГУ