Recent progresses on metamaterials for optical absorption and sensing: A review
Y Yao, Z Liao, Z Liu, X Liu, J Zhou, G Liu… - Journal of Physics D …, 2021 - iopscience.iop.org
Metamaterials (MMs) offer great potential for achieving optical absorption due to their novel
electromagnetic properties. MM absorbers can overcome the thickness limitation and …
electromagnetic properties. MM absorbers can overcome the thickness limitation and …
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 …
Efficient design of a dielectric metasurface with transfer learning and genetic algorithm
Machine learning has been widely adopted in various disciplines as they offer low-
computational cost solutions to complex problems. Recently, deep learning-enabled …
computational cost solutions to complex problems. Recently, deep learning-enabled …
Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning
Z Ding, W Su, Y Luo, L Ye, H Wu, H Yao - Journal of Materials …, 2023 - pubs.rsc.org
The development of patterned graphene metasurface absorbers (PGMAs) offers potential
solutions for achieving light weight, thinness, wide absorption bandwidth, and tunable …
solutions for achieving light weight, thinness, wide absorption bandwidth, and tunable …
Machine learning aided design and optimization of thermal metamaterials
Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …
for example, the machine learning (ML) has been able to predict some unprecedented …
Absorption and diffusion enabled ultrathin broadband metamaterial absorber designed by deep neural network and PSO
J Chen, W Ding, XM Li, X **, KP Ye… - IEEE Antennas and …, 2021 - ieeexplore.ieee.org
With absorption and interference cancellation, lossy metamaterials can achieve broadband
electromagnetic wave absorption. However, the design of such metamaterial absorbers …
electromagnetic wave absorption. However, the design of such metamaterial absorbers …
Manifold learning for knowledge discovery and intelligent inverse design of photonic nanostructures: breaking the geometric complexity
Here, we present a new approach based on manifold learning for knowledge discovery and
inverse design with minimal complexity in photonic nanostructures. Our approach builds on …
inverse design with minimal complexity in photonic nanostructures. Our approach builds on …
Deep learning-driven forward and inverse design of nanophotonic nanohole arrays: streamlining design for tailored optical functionalities and enhancing accessibility
In nanophotonics, nanohole arrays (NHAs) are periodic arrangements of nanoscale
apertures in thin films that provide diverse optical functionalities essential for various …
apertures in thin films that provide diverse optical functionalities essential for various …
Deep-learning-empowered holographic metasurface with simultaneously customized phase and amplitude
R Zhu, J Wang, X Fu, X Liu, T Liu, Z Chu… - … Applied Materials & …, 2022 - ACS Publications
Metasurfaces with simultaneously and independently controllable amplitude and phase
have provided a higher degree of freedom in manipulating electromagnetic (EM) waves …
have provided a higher degree of freedom in manipulating electromagnetic (EM) waves …
Inverse design of a Helmholtz resonator based low-frequency acoustic absorber using deep neural network
The design of low-frequency sound absorbers with broadband absorption characteristics
and optimized dimensions is a pressing research problem in engineering acoustics. In this …
and optimized dimensions is a pressing research problem in engineering acoustics. In this …