January 23, 2019
National Institute for Materials Science(NIMS)
The University of Tokyo
Japan Science and Technology Agency(JST)
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.
This research project was carried out by a research group led by Junichiro Shiomi (Professor, Department of Mechanical Engineering, The University of Tokyo) Atsushi Sakurai (Associated Professor, Department of Mechanical and Production Engineering, Niigata University) and Koji Tsuda (Professor, Graduate School of Frontier Sciences, The University of Tokyo). The part of this project conducted at the CMI2 (Center for Materials Research by Information Integration) was supported by the JST “Materials Research by Information Integration” Initiative (MI2I), while the remainder of this project, conducted at the RIKEN Center for Advanced Intelligence Project (AIP), was supported by funding from MEXT.
This study was published in ACS Central Science, an online U.S. journal, as an “ASAP article” on January 22, 2019, Eastern Standard Time.
Please see NIMS’s website * for details.
|Title:||Ultranarrow-band wavelength-selective thermal emission with aperiodic multilayered metamaterials designed by Bayesian optimization|
|Authors:||Atsushi Sakurai, Kyohei Yada, Tetsushi Simomura, Shenghong Ju, Makoto Kashiwagi, Hideyuki Okada, Tadaaki Nagao, Koji Tsuda, Junichiro Shiomi|
|Journal:||“ACS Central Science”