Topological metamaterials
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 …
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
Intelligent metasurfaces have gained significant importance in recent years due to their
ability to dynamically manipulate electromagnetic (EM) waves. Their multifunctional …
ability to dynamically manipulate electromagnetic (EM) waves. Their multifunctional …
Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible
Replacing electrons with photons is a compelling route toward high-speed, massively
parallel, and low-power artificial intelligence computing. Recently, diffractive networks …
parallel, and low-power artificial intelligence computing. Recently, diffractive networks …
Computation at the speed of light: metamaterials for all-optical calculations and neural networks
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 …
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 …
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 …
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 …
configuration: physics-compliant models involve the inversion of an “interaction” matrix. We …
Reflectionless programmable signal routers
We demonstrate experimentally that reflectionless scattering modes (RSMs), a generalized
version of coherent perfect absorption, can be functionalized to perform reflectionless …
version of coherent perfect absorption, can be functionalized to perform reflectionless …
Backpropagation-free training of deep physical neural networks
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 …
attributed to larger models but come with energy consumption and scalability issues. Current …
Dispersion‐enabled symmetry switching of photonic angular‐momentum coupling
Photonic spin‐orbit interactions describe the interactions between spin angular momentum
and orbital angular momentum of photons, which play essential roles in subwavelength …
and orbital angular momentum of photons, which play essential roles in subwavelength …