Recent years have witnessed a rapid development in the field of structural coloration, colors
generated from the interaction of nanostructures with light. Compared to conventional color …

Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as
light concentration, routing, and filtering. Designing these devices to achieve precise light …

Here we present a roadmap on Photonic metasurfaces. This document consists of a number
of perspective articles on different applications, challenge areas or technologies underlying …

Deep learning is currently being hyped as an almost magical tool for solving all kinds of
difficult problems that computers have not been able to solve in the past. Particularly in the …

Deep learning (DL) has been used to design deep neural networks (DNNs) which have
recently been applied to solving inverse problems in artificial electromagnetic materials …

Deep learning is a promising, ultra-fast approach for inverse design in nano-optics, but
despite fast advancement of the field, the computational cost of dataset generation, as well …

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Develo** an optical geometric lens system in a conventional way involves substantial
effort from designers to devise and assess the lens specifications. An expeditious and …

We present an application of computational inverse design, which reverses the conventional
trial-and-error forward design paradigm, optimizes biological phenotype by directly …

The design of scatterers on demand is a challenging task that requires the investigation and
development of novel and flexible approaches. In this paper, we propose a machine …