Designing thermal radiation metamaterials via a hybrid adversarial autoencoder and Bayesian optimization

Designing thermal radiation metamaterials is challenging especially for problems with high degrees of freedom and complex objectives. In this Letter, we develop a hybrid materials informatics approach which combines the adversarial autoencoder and Bayesian optimization to design narrowband thermal e...

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Bibliographic Details

Published in:	Optics letters Vol. 47; no. 14; p. 3395
Main Authors:	Zhu, Dezhao, Guo, Jiang, Yu, Gang, Zhao, C Y, Wang, Hong, Ju, Shenghong
Format:	Journal Article
Language:	English
Published:	15.07.2022
ISSN:	1539-4794, 1539-4794
Online Access:	Get more information
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