General deep learning framework for emissivity engineering :

Chinese scientists developed a deep learning framework to optimize wavelength-selective thermal emitters (WS-TEs) for applications like radiative cooling and ga

Related Keywords

Wuhan , Hubei , China , Huazhong , Shuguang , Jilin , Guangdong , , Natural Science Foundation Of Hubei Province , Knowledge Innovation Shuguang Program , School Of Energy , Bilateral Joint Research , Program Of Wuhan National Laboratory For Optoelectronics , National Natural Science Foundation Of China , Huazhong University Of Science , Technology Program , Key Research , Light Science , Power Engineering , Huazhong University , National Natural Science Foundation , Natural Science Foundation , Hubei Province , Open Project Program , Wuhan National Laboratory , Wuhan City Science , Joint Research Projects , Newswise , Eneral Deep Learning Engineering Ws Tes , All Journal News , Engineering , Materials Science , Chinese Academy Of Sciences ,