Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling

Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling

Passive daytime radiative cooling (PDRC) has emerged as a promising, electricity-free cooling approach that reflects sunlight while radiating heat through the atmospheric transparent window. However, the design and optimization of PDRC materials remain challenging, requiring significant time and res...

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Bibliographic Details
Main Authors: Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
Subjects:
machine learning
prediction
radiative cooling
materials structure optimization
scattering efficiency
Online Access:https://www.mdpi.com/2073-4433/16/1/95
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