Machine Learning-Assisted Thermal Performance Enhancement of Compact Salinity Gradient Solar Ponds Using Hybrid Nanoparticle-Enhanced Phase Change Materials
This study demonstrates that compact salinity gradient solar ponds utilizing hybrid nanoparticle-enhanced phase change materials achieve superior thermal performance and heat retention compared to conventional systems, with machine learning models accurately predicting these outcomes to enable intelligent optimization of small-scale solar thermal storage.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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