Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels

Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels

The escalating global climate crisis and energy challenges have made the development of efficient radiative cooling materials increasingly urgent. This study presents a machine-learning-based model for predicting the performance of radiative cooling aerogels (RCAs). The model integrated multiple par...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2025-01-01
Sarja:Gels
Aiheet:
radiative cooling aerogels
machine learning
SHAP analysis
Linkit:https://www.mdpi.com/2310-2861/11/1/70

Internet

https://www.mdpi.com/2310-2861/11/1/70

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