Topological metamaterials

X Ni, S Yves, A Krasnok, A Alu - Chemical Reviews, 2023 - ACS Publications
The topological properties of an object, associated with an integer called the topological
invariant, are global features that cannot change continuously but only through abrupt …

Recent progress in reconfigurable and intelligent metasurfaces: A comprehensive review of tuning mechanisms, hardware designs, and applications

Y Saifullah, Y He, A Boag, GM Yang, F Xu - Advanced Science, 2022 - Wiley Online Library
Intelligent metasurfaces have gained significant importance in recent years due to their
ability to dynamically manipulate electromagnetic (EM) waves. Their multifunctional …

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 …

Computation at the speed of light: metamaterials for all-optical calculations and neural networks

T Badloe, S Lee, J Rho - Advanced Photonics, 2022 - spiedigitallibrary.org
The explosion in the amount of information that is being processed is prompting the need for
new computing systems beyond existing electronic computers. Photonic computing is …

Mie-resonant metaphotonics

VE Babicheva, AB Evlyukhin - Advances in Optics and Photonics, 2024 - opg.optica.org
Mie-resonant metaphotonics is a rapidly developing field that employs the physics of Mie
resonances to control light at the nanoscale. Mie resonances are excited in high-refractive …

Intelligent meta-imagers: From compressed to learned sensing

C Saigre-Tardif, R Faqiri, H Zhao, L Li… - Applied Physics …, 2022 - pubs.aip.org
Computational meta-imagers synergize metamaterial hardware with advanced signal
processing approaches such as compressed sensing. Recent advances in artificial …

On the tacit linearity assumption in common cascaded models of RIS-parametrized wireless channels

A Rabault, L Le Magoarou, J Sol… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The wireless channel is a linear input-output relation that depends non-linearly on the RIS
configuration: physics-compliant models involve the inversion of an “interaction” matrix. We …

Reflectionless programmable signal routers

J Sol, A Alhulaymi, AD Stone, P Del Hougne - Science Advances, 2023 - science.org
We demonstrate experimentally that reflectionless scattering modes (RSMs), a generalized
version of coherent perfect absorption, can be functionalized to perform reflectionless …

Backpropagation-free training of deep physical neural networks

A Momeni, B Rahmani, M Malléjac, P Del Hougne… - Science, 2023 - science.org
Recent successes in deep learning for vision and natural language processing are
attributed to larger models but come with energy consumption and scalability issues. Current …

Dispersion‐enabled symmetry switching of photonic angular‐momentum coupling

J Cai, F Zhang, M Pu, Y Chen, Y Guo… - Advanced Functional …, 2023 - Wiley Online Library
Photonic spin‐orbit interactions describe the interactions between spin angular momentum
and orbital angular momentum of photons, which play essential roles in subwavelength …