Multilayer dielectric stack Notch filter for 450-700 nm wavelength spectrum

Butt, Muhammad Ali; Fomchenkov, Sergey A.; Хонина, С. Н.

doi:10.18287/1613-0073-2017-1900-1-4

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…This indicates that the predicted values closely follow the trend of the target values, suggesting a high level of accuracy in the prediction model (i.e., the median in all box plots is higher than 0.995, in addition to the first quartile higher than 0.87 for N 1 , K 1 , and K 2 ). Additionally, the results of this measurement for all possible combinations of pairs of alternative layers, using the binary codes of metals (00), oxides (01), fluorides (10), and polymers (11). In addition, the material discovery sub-network contributes to the optimization of thin films by identifying materials that meet specific design criteria.…”

Section: Resultsmentioning

confidence: 99%

“…Multilayer metamaterials (MMMs) are one of the classical optical nanostructures, laying the foundation of bandpass filters, band-stop filters, polarizers, and reflectors. 10,11 The transmittance and/or reflectance spectra are the key optical responses to consider for the inverse design of a MMM. There is a complex non-linear relationship between such properties and the characteristics of the individual layers in the stack (cf.…”

Section: Introductionmentioning

confidence: 99%

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AI-based optical materials discovery

Ghasemi,

Fang,

Zeze

et al. 2024

Machine Learning in Photonics

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The field of metamaterials allows for the creation of materials with extraordinary properties. However, the development of materials with specific, custom properties is regarded as a challenging task. Current materialsby-design methodologies hinge on a trial-and-error approach, employing serendipitous techniques that prove inefficient and impractical. Furthermore, the extensive variety of materials and the myriad ways they can be combined in different ratios contribute to an infinite compositional space. Here, we present a universal machine-learning method that identifies the complex, nonlinear relationship between an amorphous metamaterial's structural characteristics and on-demand optical properties, all within a matter of milliseconds. As a proof of concept, we have demonstrated two practical applications of the method experimentally by developing a custom metasurface-perfect reflector. This innovative approach empowers users to craft materials of interest without depending on intuitions, prior experiences, or extensive simulation and modelling, potentially paving the way for the accelerated discovery of new materials.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

AI-based optical materials discovery

Ghasemi,

Fang,

Zeze

et al. 2024

Machine Learning in Photonics

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“…For example, to achieve a long lifetime for semiconductive lasers with a microcavity exciton-polariton, it is necessary to use a highly reflective distributed Bragg reflector (DBR) 1,2 . A DBR is a reflector designed for a specific wavelength with a narrow bandwidth, which can be used to design a notch filter 3 . DBRs are also used in waveguides, and they can be constructed from multiple layers of different materials with periodic variations in refractive indices (n values, materials with low and high n values are alternately stacked in the vertical direction), and these films have a quarter-wave (λ/4) thickness of the designed reflective wavelength.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Measurement and Electromagnetic Overall Transfer Matrix Simulation Results of MgF 2 -Nb 2 O 5 Distributed Bragg Reflectors with Different Layers

Tseng¹,

Chen²,

Wu³

et al. 2021

Preprint

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In this study, glasses were used as substrates and an e-beam was used the method to deposit MgF2 and Nb2O5 single-layer films, and the optical properties, including extinction coefficients (k values) and refractive indices (n values), were measured by using the light wavelength as variable. The equation d = λ/(4n) was used to calculate the thickness (d) of 1/4 wavelength (λ) for each layer of the MgF2-Nb2O5 bilayer films in distributed Bragg reflectors (DBRs) with a designed reflective wavelength at blue light (~450nm). Each MgF2-Nb2O5 bilayer film was called a period, and the glass substrates were used to deposit the films with two, four, and six periods for fabricating the DBRs. The field emission scanning electron microscope equipped with a focused ion beam was used to measure the thickness of each MgF2-Nb2O5 layer in the DBRs with different periods. The measured maximum reflective ratios were compared with Sheppard’s approximate equation, which calculates only the maximum reflective ratio at a specific wavelength. An overall transfer matrix was investigated to calculate the reflective spectra by incorporating the variable n values and thicknesses of the MgF2-Nb2O5 films in each layer. We show that the measured results of the fabricated DBRs matched the results simulated using Sheppard’s approximate equation and the overall transfer matrix.

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“…Moreover, MTF filters play a momentous role to offer the highest standard such as enhancements in transmission, reflection, blocking, and either transmitted or reflected wave front properties. It is included of a sequence of boundaries sandwiched between different materials to form a thin film [7]. Hence, MTF can be used for many applications such as computer disk, optical filter, anti-reflector, solar cells, and in telecommunication industries [8].…”

Section: Introductionmentioning

confidence: 99%

“…It is included of a sequence of boundaries sandwiched between different materials to form a thin film [7]. Hence, MTF can be used for many applications such as computer disk, optical filter, anti-reflector, solar cells, and in telecommunication industries [8].…”

Section: Introductionmentioning

confidence: 99%

Prototypical Simulation of an Optical Edge Filter Design for Three Different Rayleigh Wavelengths Using Octave Software

Bello

Dahuwa

Muhammad

2020

AJR2P

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Optical filters used specifically for special functions to block a particular wavelength or range of wavelength and transmit the rest of the spectrum have received research attention for the past few eras. Recently, optical filter based on multilayer coating are more focused due to potential to manipulate filter properties by changing layer thickness in order to apply in various fields. This Quarter wave stack (QWS) model design is one of the approaches to design optical filter such as edge filter. However, to obtain desire minimum specification need an optimization. Therefore, in this study aims to design optical edge filter based QWS model by optical matrix method in Octave software. In this design, MoS2 and Si are being choose for high (H) and low (L) refractive index materials respectively. The optimum twenty-four (24) number of layers are determined by calculating maximum transmittance obtained. The Rayleigh wavelength ( λex ) of 405 nm ,532 nm and 633 nm are selected and ‘glass|12HL|air’ configuration is set for the design simulation. Then, the cut-on wavelength (λcut-on) and cut-off wavelength ((λcut-off) of successful designed optical edge filter are measured. The result shows that the cut-on wavelength of 408.11 nm, 536 nm and 640.25 nm with minimum effective transmission (MET) of 32.3%, 31.3% and 32% respectively are obtained. In conclusion, this present study shows the deviation between the calculated value and simulation of about 0.2 nm,1.7 nm and 1.15 nm for each λex of 405 nm, 532 nm and 633 nm is determined. But for λcut-off, the value obtained are much higher than the calculated value. The MET of each filter is 32.3% ,31.3% and 32% for Rayleigh wavelength respectively.

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Multilayer dielectric stack Notch filter for 450-700 nm wavelength spectrum

Cited by 6 publications

References 10 publications

AI-based optical materials discovery

AI-based optical materials discovery

Comparison of Measurement and Electromagnetic Overall Transfer Matrix Simulation Results of MgF 2 -Nb 2 O 5 Distributed Bragg Reflectors with Different Layers

Prototypical Simulation of an Optical Edge Filter Design for Three Different Rayleigh Wavelengths Using Octave Software

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