The platform will undergo maintenance on Sep 14 at about 9:30 AM EST and will be unavailable for approximately 1 hour.
2021
DOI: 10.1080/15599612.2021.1892248
|View full text |Cite
|
Sign up to set email alerts
|

MEMS gratings and their applications

Abstract: Grating plays an essential role in various optical systems owing to its unique dispersion properties. In recent years, there is increasing demand to miniaturize optical systems for a wide range of field applications. Therefore, the integration of diffraction grating with MEMS technology provides an efficient way to build truly miniaturized optical systems. Till now, MEMS diffraction gratings have mainly been explored in two directions, namely MEMS scanning gratings and MEMS tunable gratings. MEMS scanning grat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
8
2

Relationship

2
8

Authors

Journals

citations
Cited by 27 publications
(8 citation statements)
references
References 164 publications
0
8
0
Order By: Relevance
“…73–85 The nanofabrication technologies for preparing SEIRA/SERS substrates include chemical preparation methods, photolithography, electron beam lithography, magnetron sputtering, electron beam evaporation, and more. 86–107 The widely used theory for modeling SERS/SEIRA includes perturbation theory, 108 temporal coupled-mode theory, 109,110 coupled harmonic oscillator theory, 111 and so on. As mentioned earlier, machine learning is complementary to SERS/SEIRA and offers unparalleled possibilities for solving pressing challenges related to spectral artifacts, overlapping, and huge volumes of spectral data (Fig.…”
Section: Concept Of Machine Learning Enhancing Sers and Seiramentioning
confidence: 99%
“…73–85 The nanofabrication technologies for preparing SEIRA/SERS substrates include chemical preparation methods, photolithography, electron beam lithography, magnetron sputtering, electron beam evaporation, and more. 86–107 The widely used theory for modeling SERS/SEIRA includes perturbation theory, 108 temporal coupled-mode theory, 109,110 coupled harmonic oscillator theory, 111 and so on. As mentioned earlier, machine learning is complementary to SERS/SEIRA and offers unparalleled possibilities for solving pressing challenges related to spectral artifacts, overlapping, and huge volumes of spectral data (Fig.…”
Section: Concept Of Machine Learning Enhancing Sers and Seiramentioning
confidence: 99%
“…One common material used for the fabrication of optoelectronic device is Silicon (Rao et al 2010 ). After silicon, III–V semiconductor materials such as Indium Galium Arsenide (InGaAs) (Iqbal et al 2020 ), Gallium Nitride (GaN) (Ziane et al 2015 ) and Indium Phosphide (InP) (Zheng et al 2022 ) have been the fastest-growing, most widely-used and highest-output semiconductor materials for optoelectronic use (Zhou 2021 ; Amiri and Lazreg 2021 ). Compound semiconductor materials outperform conventional semiconductor materials in terms of (1) High electron mobility (2) Wide bandwidth (3) High frequency (4) High power (5) High linearity (6) Diversity of material selection (7) Anti radiation.…”
Section: Design and Theoretical Backgroundmentioning
confidence: 99%
“…Among these tuning mechanisms, two solutions have raised the attention and been reported frequently, microelectromechanical systems (MEMS) technology and tunable two-dimensional (2D) materials. On the one hand, the geometric-dependent metamaterial resonators could be effectively influenced by changing the configuration of unit cells, which can be enabled by MEMS actuators to a broadband frequency ranging from THz to visible light ( Lin and Lee, 2014 ; Dong et al., 2020a ; Ma et al., 2020b ; Ren et al., 2020 ; Dong et al., 2020b ; Lin and Xu, 2020 ; Pitchappa et al., 2021a ; Zhou et al., 2021a ; Wang et al., 2021 ). Moreover, the integration of MEMS actuators and metamaterials are compatible with the current complementary metal-oxide-semiconductor (CMOS) fabrication platform.…”
Section: Introductionmentioning
confidence: 99%