Dielectric metalens for miniaturized imaging systems: progress and challenges

M Pan, Y Fu, M Zheng, H Chen, Y Zang… - Light: Science & …, 2022 - nature.com
Lightweight, miniaturized optical imaging systems are vastly anticipated in these fields of
aerospace exploration, industrial vision, consumer electronics, and medical imaging …

[PDF][PDF] Intelligent metaphotonics empowered by machine learning

S Krasikov, A Tranter, A Bogdanov… - Opto-Electronic …, 2022 - researching.cn
In the recent years, a dramatic boost of the research is observed at the junction of photonics,
machine learning and artificial intelligence. A new methodology can be applied to the …

Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible

X Luo, Y Hu, X Ou, X Li, J Lai, N Liu, X Cheng… - Light: Science & …, 2022 - nature.com
Replacing electrons with photons is a compelling route toward high-speed, massively
parallel, and low-power artificial intelligence computing. Recently, diffractive networks …

Meta-programmable analog differentiator

J Sol, DR Smith, P Del Hougne - Nature Communications, 2022 - nature.com
We present wave-based signal differentiation with unprecedented fidelity and flexibility by
purposefully perturbing overmoded random scattering systems such that zeros of their …

Intelligent indoor metasurface robotics

H Zhao, S Hu, H Zhang, Z Wang, H Dong… - National Science …, 2023 - academic.oup.com
Intelligent indoor robotics is expected to rapidly gain importance in crucial areas of our
modern society such as at-home health care and factories. Yet, existing mobile robots are …

Software-defined nanophotonic devices and systems empowered by machine learning

Y Xu, B Xiong, 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 …

Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing

C Li, X Liao, ZK Peng, G Meng, Q He - Nature Communications, 2023 - nature.com
Bio-mechanoreceptors capable of micro-motion sensing have inspired mechanics-guided
designs of micro-motion sensors in various fields. However, it remains a major challenge for …

Self-adaptive RISs beyond free space: convergence of localization, sensing, and communication under rich-scattering conditions

C Saigre-Tardif, P del Hougne - IEEE Wireless …, 2023 - ieeexplore.ieee.org
We discuss the need for a confluence of localization, sensing, and communications if
reconfigurable intelligent surfaces (RISs) are to be deployed in a self-adaptive manner in the …

XR-RF imaging enabled by software-defined metasurfaces and machine learning: Foundational vision, technologies and challenges

C Liaskos, A Tsioliaridou, K Georgopoulos… - IEEE …, 2022 - ieeexplore.ieee.org
In this work, we present a new approach to Extended Reality (XR), denoted as
iCOPYWAVES, which seeks to offer naturally low-latency operation and cost effectiveness …

Metaphys: Contactless physiological sensing of multiple subjects using RIS-based 4-D radar

Z Li, T Jin, D Guan, H Xu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Contactless physiological signal sensing is an emerging technology for routine health
monitoring, ambient-assisted living, automotive, search and rescue, and public security. In …