Artificial intelligence in meta-optics

MK Chen, X Liu, Y Sun, DP Tsai - Chemical Reviews, 2022 - ACS Publications
Recent years have witnessed promising artificial intelligence (AI) applications in many
disciplines, including optics, engineering, medicine, economics, and education. In particular …

Recent advances in tunable metasurfaces: materials, design, and applications

OAM Abdelraouf, Z Wang, H Liu, Z Dong, Q Wang… - ACS …, 2022 - ACS Publications
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 …

Tackling photonic inverse design with machine learning

Z Liu, D Zhu, L Raju, W Cai - Advanced Science, 2021 - Wiley Online Library
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 …

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 …

Design for quality: reconfigurable flat optics based on active metasurfaces

MY Shalaginov, SD Campbell, S An, Y Zhang… - …, 2020 - degruyter.com
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 …

Multiplexed supercell metasurface design and optimization with tandem residual networks

C Yeung, JM Tsai, B King, B Pham, D Ho, J Liang… - …, 2021 - degruyter.com
Complex nanophotonic structures hold the potential to deliver exquisitely tailored optical
responses for a range of applications. Metal–insulator–metal (MIM) metasurfaces arranged …

Inverse design of lightweight broadband reflector for relativistic lightsail propulsion

W **, W Li, M Orenstein, S Fan - ACS Photonics, 2020 - ACS Publications
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 …

Machine learning–assisted design of material properties

S Kadulkar, ZM Sherman, V Ganesan… - Annual Review of …, 2022 - annualreviews.org
Designing functional materials requires a deep search through multidimensional spaces for
system parameters that yield desirable material properties. For cases where conventional …

Meta-atom library generation via an efficient multi-objective shape optimization method

EB Whiting, SD Campbell, L Kang, DH Werner - Optics Express, 2020 - opg.optica.org
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 …

Deep learning in light–matter interactions

D Midtvedt, V Mylnikov, A Stilgoe, M Käll… - …, 2022 - degruyter.com
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 …