Prognostic modeling of polydisperse SiO2/Aqueous glycerol nanofluids' thermophysical profile using an explainable artificial intelligence (XAI) approach

Prognostic modeling of polydisperse SiO2/Aqueous glycerol nanofluids' thermophysical profile using an explainable artificial intelligence (XAI) approach

Ceramic nanoparticles have become increasingly popular owing to their wide range of engineering applications in the industry. Silica is one of the most promising nanomaterials for heat transfer applications due to its favorable thermophysical characteristics and dispersion stability. This work inves...

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Bibliographic Details
Main Authors: Sharma, K.V., Talpa Sai, P.H.V.S., Sharma, P., Kanti, P.K., Bhramara, P., Akilu, S.
Format: Article
Published: Elsevier Ltd 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37301/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167809881&doi=10.1016%2fj.engappai.2023.106967&partnerID=40&md5=e658726409ceadf1be85bccce4b74934
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Institution: Universiti Teknologi Petronas

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http://scholars.utp.edu.my/id/eprint/37301/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167809881&doi=10.1016%2fj.engappai.2023.106967&partnerID=40&md5=e658726409ceadf1be85bccce4b74934

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