Add to Quick Collection
All 2 Results
Showing items 1 - 2 of 2.
Add All Items to Quick Collection
Source: Neural computing and applications. 2023. Vol. 35, № 27. P. 19719-19727
Type: статьи в журналах
Date: 2023
Description:
A deep neural network is utilized to classify the parameters of a natural convection heat transfer of a nano-encapsulated phase change material suspension using the isotherm images for the first time.
... More
Source: Thermal science and engineering progress. 2023. Vol. 37. P. 101547 (1-20)
Type: статьи в журналах
Date: 2023
Description:
Thermal energy storages based on the phase change materials are considered as bright technologies because they have more advantages than other energy storage methods. In addition to the thermal parame
... More
