Design of multifunctional color routers with Kerker switching using generative adversarial networks
Jiahao Yan, Dayu Zhu, Yanjun Bao, Qin Chen, Baojun Li, Wenshan Cai

TL;DR
This paper introduces DDGAN, a generative adversarial network that designs ultracompact dielectric structures for multifunctional color routing and Kerker switching, enabling high-resolution optoelectronic devices.
Contribution
It presents a novel GAN-based method for multi-objective structural design of dielectric nanoparticles, incorporating spectral and directional control for advanced light manipulation.
Findings
Achieved simultaneous control of scattering color and directivity.
Designed RGB color routers and narrowband light routers.
Generated structures with footprints under 600x600 nm.
Abstract
To achieve optoelectronic devices with high resolution and efficiency, there is a pressing need for optical structural units that possess an ultrasmall footprint yet exhibit strong controllability in both the frequency and spatial domains. For dielectric nanoparticles, the overlap of electric and magnetic dipole moments can scatter light completely forward or backward, which is called Kerker theory. This effect can expand to any multipoles and any directions, re-named as generalized Kerker effect, and realize controllable light manipulation at full space and full spectrum using well-designed dielectric structures. However, the complex situations of multipole couplings make it difficult to achieve structural design. Here, generative artificial intelligence (AI) is utilized to facilitate multi-objective-oriented structural design, wherein we leverage the concept of "combined spectra" that…
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Taxonomy
TopicsPhotonic Crystals and Applications · Photonic and Optical Devices · Metamaterials and Metasurfaces Applications
