[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 …

Artificial intelligence and advanced materials

C López - Advanced Materials, 2023‏ - Wiley Online Library
Artificial intelligence (AI) is gaining strength, and materials science can both contribute to
and profit from it. In a simultaneous progress race, new materials, systems, and processes …

[PDF][PDF] 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 …

Inverse design of photonic and phononic topological insulators: a review

Y Chen, Z Lan, Z Su, J Zhu - Nanophotonics, 2022‏ - degruyter.com
Photonic and phononic topological insulators (TIs) offer numerous opportunities for
manipulating light and sound with high efficiency and resiliency. On the other hand, inverse …

Predictive and generative machine learning models for photonic crystals

T Christensen, C Loh, S Picek, D Jakobović, L **g… - …, 2020‏ - degruyter.com
The prediction and design of photonic features have traditionally been guided by theory-
driven computational methods, spanning a wide range of direct solvers and optimization …

Higher-order topological insulators by ML-enhanced topology optimization

Z Du, J Luo, Z Xu, Z Jiang, X Ding, T Cui… - International Journal of …, 2023‏ - Elsevier
Energy in lower dimensions, such as edges or corners, can be robustly confined by the
higher-order topological insulators (HOTIs) against defects. Being promising for wave …

Deep learning for topological photonics

J Yun, S Kim, S So, M Kim, J Rho - Advances in Physics: X, 2022‏ - Taylor & Francis
In this paper, we review the specific field that combines topological photonics and deep
learning (DL). Recent progress of topological photonics has attracted enormous interest for …

[HTML][HTML] Dynamic and active THz graphene metamaterial devices

L Wang, N An, X He, X Zhang, A Zhu, B Yao, Y Zhang - Nanomaterials, 2022‏ - mdpi.com
In recent years, terahertz waves have attracted significant attention for their promising
applications. Due to a broadband optical response, an ultra-fast relaxation time, a high …

Intelligent algorithms: new avenues for designing nanophotonic devices

L Ma, J Li, Z Liu, Y Zhang, N Zhang, S Zheng… - Chinese Optics …, 2021‏ - opg.optica.org
The research on nanophotonic devices has made great progress during the past decades. It
is the unremitting pursuit of researchers that realize various device functions to meet …

[HTML][HTML] Inverse design of a binary waveguide crossing by the particle swarm optimization algorithm

K Goudarzi, M Lee - Results in Physics, 2022‏ - Elsevier
This paper describes the inverse design of the particle swarm optimization algorithm
combined with the three-dimensional finite-difference time-domain simulation to design a …