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...
| Published in: | Results in Engineering |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| 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 |