Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks

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Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks

Accurately predicting thermo-physical properties (TPPs) of MXene/graphene-based nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on developing precise TPP predictive models. This study presents optimized multi-layer perceptron neural network (MLPNN) models, leve...

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Bibliographic Details
Published in:	Results in Engineering
Main Author:	jasim D.J.; Rajab H.; Alizadeh A.; Sharma K.; Ahmed M.; Kassim M.; AbdulAmeer S.; Alwan A.A.; Salahshour S.; Maleki H.
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203523133&doi=10.1016%2fj.rineng.2024.102858&partnerID=40&md5=a24c870224e28b4a1a7056ad518c0165

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