Applications of optical microcombs

Y Sun, J Wu, M Tan, X Xu, Y Li, R Morandotti… - Advances in Optics …, 2023 - opg.optica.org
Optical microcombs represent a new paradigm for generating laser frequency combs based
on compact chip-scale devices, which have underpinned many modern technological …

Mechanical metamaterials and beyond

P Jiao, J Mueller, JR Raney, X Zheng… - Nature communications, 2023 - nature.com
Mechanical metamaterials enable the creation of structural materials with unprecedented
mechanical properties. However, thus far, research on mechanical metamaterials has …

Intelligent metasurfaces: control, communication and computing

L Li, H Zhao, C Liu, L Li, TJ Cui - Elight, 2022 - Springer
Controlling electromagnetic waves and information simultaneously by information
metasurfaces is of central importance in modern society. Intelligent metasurfaces are smart …

All-analog photoelectronic chip for high-speed vision tasks

Y Chen, M Nazhamaiti, H Xu, Y Meng, T Zhou, G Li… - Nature, 2023 - nature.com
Photonic computing enables faster and more energy-efficient processing of vision data,,,–.
However, experimental superiority of deployable systems remains a challenge because of …

Quantifying the accuracy of microcomb-based photonic RF transversal signal processors

Y Sun, J Wu, Y Li, M Tan, X Xu, ST Chu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Photonic RF transversal signal processors, which are equivalent to reconfigurable electrical
digital signal processors but implemented with photonic technologies, are attractive for high …

Electrically driven reprogrammable phase-change metasurface reaching 80% efficiency

S Abdollahramezani, O Hemmatyar… - Nature …, 2022 - nature.com
Phase-change materials (PCMs) offer a compelling platform for active metaoptics, owing to
their large index contrast and fast yet stable phase transition attributes. Despite recent …

Nonlocal flat optics

K Shastri, F Monticone - Nature Photonics, 2023 - nature.com
In electromagnetics and photonics,'nonlocality'refers to the phenomenon by which the
response/output of a material or system at a certain point in space depends on the input field …

Mechanical neural networks: Architected materials that learn behaviors

RH Lee, EAB Mulder, JB Hopkins - Science Robotics, 2022 - science.org
Aside from some living tissues, few materials can autonomously learn to exhibit desired
behaviors as a consequence of prolonged exposure to unanticipated ambient loading …

Deep learning in nano-photonics: inverse design and beyond

PR Wiecha, A Arbouet, C Girard, OL Muskens - Photonics Research, 2021 - opg.optica.org
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …

Broadband angular spectrum differentiation using dielectric metasurfaces

M Deng, M Cotrufo, J Wang, J Dong, Z Ruan… - Nature …, 2024 - nature.com
Signal processing is of critical importance for various science and technology fields. Analog
optical processing can provide an effective solution to perform large-scale and real-time …