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of 6
pro vyhledávání: '"Faraz Kaiser Malik"'
Autor:
Rehan Qaiser, Muhammad Mahabat Khan, Hassan Farooq Ahmed, Faraz Kaiser Malik, Muhammad Irfan, Inam Ul Ahad
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3856-3872 (2022)
This study aims to numerically investigate the effects of geometric designs of tubes and shell on thermal performance enhancement of latent thermal energy storage system (LTESS). Stearic acid is used as a phase change material (PCM) while water acts
Externí odkaz:
https://doaj.org/article/6e93211e62b64a98b6113466df8e149f
Publikováno v:
Case Studies in Thermal Engineering, Vol 34, Iss , Pp 102012- (2022)
The large temperature fluctuations of industrial waste heat pose great economic and operational challenge for the feasibility of industrial waste heat recovery systems. In this regard, Phase Change Material (PCM) based Thermal Energy Storage (TES) sy
Externí odkaz:
https://doaj.org/article/c28ed6f5ff9648cbb7eb724234e3a1eb
Publikováno v:
Nanomaterials, Vol 10, Iss 10, p 1987 (2020)
The current electronics industry has used the aggressive miniaturization of solid-state devices to meet future technological demands. The downscaling of characteristic device dimensions into the sub-10 nm regime causes them to fall below the electron
Externí odkaz:
https://doaj.org/article/ba64cf7c139c40d78412b422bac79b14
Autor:
Faraz Kaiser Malik, Kristel Fobelets
Publikováno v:
Journal of Semiconductors. 43:103101
Thermal rectification, or the asymmetric transport of heat along a structure, has recently been investigated as a potential solution to the thermal management issues that accompany the miniaturization of electronic devices. Applications of this conce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdd974ae67878ed67239c0002b0e2e4e
https://doi.org/10.1088/1674-4926/43/10/103101
https://doi.org/10.1088/1674-4926/43/10/103101
Publikováno v:
2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST).
In this paper, data-driven and physics-embedded deep neural networks (DNN) are analyzed as potential candidates for flow field reconstruction in fluid mechanics applications. The data-driven and physics-based algorithms are employed to model the cano
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e92cd10530750a6250a26fae6abec3
https://doi.org/10.1109/ibcast51254.2021.9393218
https://doi.org/10.1109/ibcast51254.2021.9393218
Publikováno v:
Nanomaterials, Vol 10, Iss 1987, p 1987 (2020)
Nanomaterials
Volume 10
Issue 10
Nanomaterials
Volume 10
Issue 10
The current electronics industry has used the aggressive miniaturization of solid-state devices to meet future technological demands. The downscaling of characteristic device dimensions into the sub-10 nm regime causes them to fall below the electron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a74e647ddfb3d1a52afef61397662a
https://www.mdpi.com/2079-4991/10/10/1987
https://www.mdpi.com/2079-4991/10/10/1987