Artificial intelligence in meta-optics
Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …
disciplines, including optics, engineering, medicine, economics, and education. In particular …
Recent advances in tunable metasurfaces: materials, design, and applications
Metasurfaces, a two-dimensional (2D) form of metamaterials constituted by planar meta-
atoms, exhibit exotic abilities to tailor electromagnetic (EM) waves freely. Over the past …
atoms, exhibit exotic abilities to tailor electromagnetic (EM) waves freely. Over the past …
Tackling photonic inverse design with machine learning
Abstract Machine learning, as a study of algorithms that automate prediction and decision‐
making based on complex data, has become one of the most effective tools in the study of …
making based on complex data, has become one of the most effective tools in the study of …
Metamaterials and metasurfaces for wireless power transfer and energy harvesting
J Zhou, P Zhang, J Han, L Li… - Proceedings of the …, 2021 - ieeexplore.ieee.org
A comprehensive review of metamaterials and metasurfaces for wireless power transfer
(WPT) and wireless energy harvesting (WEH) is presented in this article. According to the …
(WPT) and wireless energy harvesting (WEH) is presented in this article. According to the …
Design for quality: reconfigurable flat optics based on active metasurfaces
Optical metasurfaces, planar subwavelength nanoantenna arrays with the singular ability to
sculpt wavefront in almost arbitrary manners, are poised to become a powerful tool enabling …
sculpt wavefront in almost arbitrary manners, are poised to become a powerful tool enabling …
Multiplexed supercell metasurface design and optimization with tandem residual networks
Complex nanophotonic structures hold the potential to deliver exquisitely tailored optical
responses for a range of applications. Metal–insulator–metal (MIM) metasurfaces arranged …
responses for a range of applications. Metal–insulator–metal (MIM) metasurfaces arranged …
Inverse design of lightweight broadband reflector for relativistic lightsail propulsion
Light can exert forces on objects, promising to propel a meter-scale lightsail to near the
speed of light. The key to address many challenges in such an ambition hinges on the …
speed of light. The key to address many challenges in such an ambition hinges on the …
Machine learning–assisted design of material properties
Designing functional materials requires a deep search through multidimensional spaces for
system parameters that yield desirable material properties. For cases where conventional …
system parameters that yield desirable material properties. For cases where conventional …
Meta-atom library generation via an efficient multi-objective shape optimization method
Optimizing the shape of metasurface unit cells can lead to tremendous performance gains in
several critically important areas. This paper presents a method of generating and …
several critically important areas. This paper presents a method of generating and …
Deep learning in light–matter interactions
The deep-learning revolution is providing enticing new opportunities to manipulate and
harness light at all scales. By building models of light–matter interactions from large …
harness light at all scales. By building models of light–matter interactions from large …