Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids

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Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids

Background: The critical role of thermal conductivity (TC) as a significant thermo-physical property in MXene/ graphene-based nanofluids for photovoltaic/thermal systems has motivated recent research into developing precision predictive models. The multilayer perceptron neural network (MLPNN) has em...

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Bibliographic Details
Published in:	JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
Main Authors:	Shang, Yunyan; Hammoodi, Karrar A.; Alizadeh, As'ad; Sharma, Kamal; Jasim, Dheyaa J.; Rajab, Husam; Ahmed, Mohsen; Kassim, Murizah; Maleki, Hamid; Salahshour, Soheil
Format:	Article
Language:	English
Published:	ELSEVIER 2024
Subjects:	Engineering
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001288820800001

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