(National Institute for Materials Science, Japan) NIMS, the University of Tokyo, Niigata University and RIKEN jointly designed a multilayered metamaterial that realizes ultra-narrowband wavelength-selective thermal emission by combining the machine learning (Bayesian optimization) and thermal emission properties calculations (electromagnetic calculation). The joint team then experimentally fabricated the designed metamaterial and verified the performance. These results may facilitate the development of highly efficient energy devices.
from EurekAlert! - Technology, Engineering and Computer Science https://ift.tt/2TETh32
Friday, March 15, 2019
Design and validation of world-class multilayered thermal emitter using machine learning
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