Tunable metasurfaces towards versatile metalenses and metaholograms: a review

J Kim, J Seong, Y Yang, SW Moon… - Advanced …, 2022 - spiedigitallibrary.org
Metasurfaces have attracted great attention due to their ability to manipulate the phase,
amplitude, and polarization of light in a compact form. Tunable metasurfaces have been …

Intelligent on-demand design of phononic metamaterials

Y **, L He, Z Wen, B Mortazavi, H Guo, D Torrent… - …, 2022 - degruyter.com
With the growing interest in the field of artificial materials, more advanced and sophisticated
functionalities are required from phononic crystals and acoustic metamaterials. This implies …

Pushing the limits of functionality‐multiplexing capability in metasurface design based on statistical machine learning

W Ma, Y Xu, B **ong, L Deng, RW Peng… - Advanced …, 2022 - Wiley Online Library
As 2D metamaterials, metasurfaces provide an unprecedented means to manipulate light
with the ability to multiplex different functionalities in a single planar device. Currently, most …

Machine learning and deep learning in phononic crystals and metamaterials–A review

J Kennedy, CW Lim - Materials Today Communications, 2022 - Elsevier
Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …

Computational spectrometers enabled by nanophotonics and deep learning

L Gao, Y Qu, L Wang, Z Yu - Nanophotonics, 2022 - degruyter.com
A new type of spectrometer that heavily relies on computational technique to recover
spectral information is introduced. They are different from conventional optical spectrometers …

Intelligent designs in nanophotonics: from optimization towards inverse creation

N Wang, W Yan, Y Qu, S Ma, SZ Li, M Qiu - PhotoniX, 2021 - Springer
Applying intelligence algorithms to conceive nanoscale meta-devices becomes a flourishing
and extremely active scientific topic over the past few years. Inverse design of functional …

Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Realization of high-performance optical metasurfaces over a large area: a review from a design perspective

M Choi, J Park, J Shin, H Keawmuang, H Kim… - npj …, 2024 - nature.com
Remarkable advancements have been made in the design of optical metasurfaces in recent
years, particularly in compact designs. However, for their practical integration into diverse …

Software-defined nanophotonic devices and systems empowered by machine learning

Y Xu, B **ong, W Ma, Y Liu - Progress in Quantum Electronics, 2023 - Elsevier
Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …

Deep learning for topological photonics

J Yun, S Kim, S So, M Kim, J Rho - Advances in Physics: X, 2022 - Taylor & Francis
In this paper, we review the specific field that combines topological photonics and deep
learning (DL). Recent progress of topological photonics has attracted enormous interest for …