Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization
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DOI: 10.1364/ol.453442
Abstract: 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… read more here.
Keywords: thermal radiation; design; designing thermal; adversarial autoencoder ... See more keywords