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An iterative machine learning approach for discovering unexpected thermal conductivity enhancement in aperiodic superlattices
Prabudhya Roy Chowdhury, Xiulin Ruan
While machine learning (ML) has shown increasing effectiveness in optimizing materials properties under known physics, its application in challenging conventional wisdom and discov…
Remarkable Daytime Sub-ambient Radiative Cooling in BaSO4 Nanoparticle Films and Paints
Xiangyu Li, Joseph Peoples, Peiyan Yao +1
Radiative cooling is a passive cooling technology that offers great promises to reduce space cooling cost, combat the urban island effect and alleviate the global warming. To achie…
Concentrated Radiative Cooling
Joseph Peoples, Yu-Wei Hung, Xiangyu Li +6
A fundamental limit of current radiative cooling systems is that only the top surface facing deep-space can provide the radiative cooling effect, while the bottom surface cannot. H…
Full Daytime Sub-ambient Radiative Cooling with High Figure of Merit in Commercial-like Paints
Xiangyu Li, Joseph Peoples, Zhifeng Huang +3
Radiative cooling is a passive cooling technology by reflecting sunlight and emitting radiation in the atmospheric sky window. Although highly desired, full daytime sub-ambient rad…