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A novel plasmonic metal

Jul 21, 2023

Scientific Reports volume 13, Article number: 14029 (2023) Cite this article

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Color detection is one of the top interests in both biological and industrial applications. Specifically, the Determination of the light wave characteristics is vital in photonic technology. One of the features in the color sense that should be found out is its wavelength or color. In this work, we propose a structure that can be used to detect RGB colors separately in an efficient way. The proposed detector consists of the plasmonic filter sensing desired wavelength (red, green, and blue) and the PN diode to convert the received photons to the electrical current. At the input intensity of 1 mW × cm−2, the current density for blue, green, and red colors are 27, 35, and 48 µA × cm−2, respectively. It is shown that the intensities needed to obtain the current densities of 0.1 µA × cm−2 are 3.94, 2.98, and 2.25 µW × cm−2 for the blue, green, and red spectra respectively. It should mention that by using high-precision photodetector structures such as PIN diode, the minimum detectable level can be decreased. Simple adjusting for desired wavelength and linear operation for different input intensities are the characteristics of the designed structure. This detector is compatible with CMOS technology and can be easily utilized in numerous applications, such as charge-coupled devices, displays, and cameras.

Since photonic technology’s appearance, designing an efficient detector has been of great interest to researchers. Photodetectors are such devices in which the intensity of incident light is converted to an electrical current. Generally, this conversion is sensitive to the wavelength of incident light. Infrared (IR) and visible light detectors (VLDs) have myriad applications in photonic-based issues such as medical and military imaging, optical communication, and modern cameras1,2,3,4,5,6,7,8. The electromagnetic spectrum between 400 and 700 nm is called visible light that should be detected through VLDs. Detection of red, green, and blue (RGB) colors separately and efficiently is the basic duty of VLDs. In other words, color filtering has to be performed in these detectors.

Color detection is the base function of image-sensing devices such as CMOS-based ones9,10,11, and multicolor holograms12. Color filters based on pigments and dyes have traditionally been used in organic light-emitting devices (OLEDs) and liquid crystal displays (LCDs)13,14. These filters are not sufficiently reliable because organic materials have low chemical stability11. Moreover, the organic filtering materials are incompatible with the integration processes11. Making use of metamaterials, nanowire waveguides, quantum dots, and plasmonics are the alternatives to designing color filters15,16,17,18. In the plasmonic phenomenon, the surface resonance at the metal–insulator interface, called surface plasmon resonance (SPR), can be utilized to design a multilayer structure to trap a desired wavelength and act as a filter19,20,21. The simple implementation of plasmonic structures leads researchers to use plasmonics in broad applications such as waveguiding, optical sensing, absorbers, and filters22,23,24,25. From a filtering point of view, the plasmonic structure can be easily adjusted by the thickness of the insulator layer to change the resonance frequency and, subsequently, the filtered spectrum26,27,28.

Plasmonic filters can be mainly divided into two types: static and dynamic29. In contrast to the static case, the dynamic one shows different characteristics depending on the polarization of the incident light30,31, heat, or mechanical stress applied to the device32,33,34. Grating, periodic, subwavelength, and hybridized nanoholes35,36,37, and nanodisk arrays17,37 are some examples introduced for static filters. The durability and resolution of the plasmonic filters are better than the non-plasmonic ones. For this reason, we have used the plasmonic-based structure to design the color filter29,38,39,40.

In this paper, we propose a multilayer plasmonic photodetector that includes three isolated parts related to RGB colors. Each part generates a current, connected with the light intensity at the corresponding wavelength. Furthermore, because of the filtered wavelength's dependency on the semiconductor layer’s thickness that can be realized by lithography, any requested wavelength at the visible spectrum can be achieved. The finite difference time domain (FDTD) simulation of the designed structure is carried out to demonstrate the transmission spectrum. The current densities generated in the PN diode associated with each color are obtained afterward. It is expected that utilizing the more efficient photodiode instead of simple PN results in better functions. This capability makes the proposed device compatible with the existing planar technology. Moreover, the current dependency on the incident light intensity, the type of oxide layer (SiO2 and Si3N4), and the detector dimensions are investigated.

The device is designed to detect some of the predefined wavelengths in the visible spectrum. The schematic of the structure (color filter) is depicted in Fig. 1. It consists of three isolated parts for red, blue, and green colors. Each part is mainly divided into the filtering section and the photodiode. The filter results in the maximum transmission at the desired wavelength, and then the photodiode generates the current at the relevant wavelength. The filter is a metal–semiconductor–insulator–metal (MSIM) structure. Silver and silicon are the metal and semiconductor parts, respectively. The insulator layer can be silicon oxide or silicon nitride. The thickness of the sliver and insulator layer are 10 and 50 nm. However, the thickness of the silicon layer depends on the wavelength that should be detected. Herein, the silicon is determined at 50, 70, and 100 nm for blue, green, and red, respectively. The photodiode includes simple silicon PN diode with a thickness of 10 µm.

(a) 3D view of the device. VR, VG, and VB are the bias voltages applied to the contact in the red, green, and blue regions. (b) 2D view of the device. The silver and silicon dioxide layers’ thickness is 10 and 50 nm for all regions. The thickness of the silicon layers for the red, green, and blue regions are LR = 100 nm, LG = 70 nm, and LB = 50 nm, respectively. The thickness of the diode is 10 µm.

At first, the finite difference time domain (FDTD) method is used to evaluate the transmission spectrum of the proposed device by solving Maxwell’s equations. This spectrum is utilized to calculate the absorption via integrating absorption spectra using A(r) = ∫A(r, ω)dω. Position-dependent absorption, A(r,ω), is given by Eq. 1 where E(r, ω) is the total electric field, including the incident and scattered fields, Im ε(r, ω) is the imaginary part of permittivity and Pin is the power of input intensity41.

The generation rate is necessary to obtain the current density. The total generation rate is calculated by G(r) = ∫g(r, ω)dω in which G and g are the total and frequency-dependent generation rates, respectively. The generation rate at the specific frequency is obtained by Eq. (2) where Pabs is the absorbed power41,42.

Finally, The Poisson, continuity, and drift–diffusion equations represented in Eqs. (3), (4), and (5), respectively, are solved in the diode self-consistently by applying the obtained generation rate and using the finite element method.

In Eq. (3), ND and NA are the density of ionized donor and acceptor atoms, respectively. The generation rate mentioned above is used in the continuity equations. In this equation, R represents the recombination rate. In the drift–diffusion equations that result in current densities, μn, μp, Dn, and Dp are electron and hole mobilities and their diffusion coefficients, respectively43.

The silicon layer of the filter is considered intrinsic; however, in the diode, the doping of the P and N are assumed 2 × 1016 cm−3 and 2 × 1017 cm−3, respectively. Moreover, the mobilities are considered 1471 and 470.5 cm2/V s for electron and hole, respectively. Furthermore, the incident visible light is supposed to be the plane wave.

The transmitted light has been evaluated below every part of the structure corresponding to RGB colors to investigate the operation of the device from a transmission point of view. Figure 2 demonstrates the transmission spectra of the device in the visible band. The solid blue, the dashed green, and the dotted red line correspond to the transmission in which the output wave has been monitored separately below the part of the structure designed for blue, green, and red, respectively. The peak frequencies and related quality factors are given in Table 1. In the blue region, the maximum value of the transmission is 0.47 at the wavelength of 450 nm. This maximum emerges at 530 and 610 nm wavelengths for the green and red parts of the spectrum with values of 0.6 and 0.71, respectively. The quality factors for blue, green, and red spectra are 7.5, 7.91, and 7.92, respectively. The difference in amplitude of the output light at RGB colors occurs due to the refractive index's dependency on the wavelength. The obtained spectra are analogous to CIE 1931; hence the device is substantially suitable for cameras and artificial eyes44. Moreover, in every RGB region, the peak wavelength can be easily changed by the adjustment of the dimension of the silicon layer.

The transmission spectra for a device with the SiO2 layer. The solid blue line corresponds to the transmission just below the part of the structure related to the blue color. Similarly, the dashed green and dotted red lines represent the transmissions in which the output waves are monitored above the PN diode exactly below the respective region.

The color filter's crosstalk, an important parameter for using the filter as an image sensor, has been calculated by Eqs. 6, 7, and 8 for the blue, green, and red spectra, respectively45. TB, TG, and TR represent the transmissions for the blue, green, and red regions. The calculated crosstalks are given in Table 2. The colors mentioned in the rows and columns refer to the reference and overlapping spectra inserted in the denominators and numerators of Eqs. (6), (7), and (8), respectively.

Absorption has been obtained using the equations mentioned in the previous section. Consequently, the position-dependent generation has been acquired for every color, depicted in Fig. 3a. Herein, z represents the position of the diode from z = − 10 um to z = 0. As expected, the generation is maximum at z = 0 and exponentially decreased due to the absorption reduction in the diode down to the common contact. Applying this generation to the continuity equation and utilizing the drift–diffusion equations result in current densities demonstrated in Fig. 3b. This figure shows the current densities given by three contacts of the structure. The solid blue line is the current density in the contact VB (Fig. 1) related to the region in which the silicon layer is 50 nm. Similarly, the dashed green and dotted red lines are current densities in the contacts VG and VR, respectively. Furthermore, the black dash-dotted line shows the current density where the device has not been illuminated, and for this reason, the density is approximately zero in all contacts. As is clear, the higher transmission for the red color leads to higher total generation, resulting in further current density compared to the blue and green colors.

(a) Position-dependent generation across the Diode. Solid blue, dashed green, and dotted red lines are the generation obtained at the end of the three regions of the filtering part corresponding to RGB colors. (b) Current densities for RGB colors versus the bias voltage. The blue solid line is the current density given in the contact of VB. The densities in the contacts of VG and VR have been demonstrated by green dashed and dotted red lines, respectively. Without illumination, the black dash-dotted line is obtained in which the current density is roughly zero in all contacts.

The structure has been illuminated by the wave containing the part of the visible spectrum for a further qualitative evaluation of the crosstalk. At first, the spectrum between 440 and 460 nm (within the blue spectrum) depicted in Fig. 4a has been applied to the device. In this situation, the obtained current densities are shown in Fig. 4b. As is seen, the current given by the VB contact is more than others. The current density in the contact related to the blue color is 27.1 µA × cm−2; however, it is 35.1 and 47.7 µA × cm−2 for the green and red colors. The intensity required to obtain the current density of 0.1 µA × cm−2 has been acquired as a criterion. This intensity for the blue, green, and red regions is 3.94, 2.98, and 2.25 µW × cm−2, respectively.

(a) The incident wave spectrum is a Gaussian beam with a center frequency of 450 nm and bandwidth of 20 nm. (b) The obtained current densities from three regions of the structure. The blue solid, green dashed, and red dotted lines are the current densities of the respective regions.

Applying the spectrum between 520 and 540 nm (Fig. 5a) to the color filter results in the current densities depicted in Fig. 5b, in which the green region represents the current density of 97 µA × cm−2 that is at least three orders more than other regions. These results indicate that the absorption share of the blue and red regions is significantly less than the green part.

(a) The incident wave spectrum is a Gaussian beam with a center frequency of 530 nm and bandwidth of 20 nm. (b) The obtained current densities of three regions of the structure. The blue solid, green dashed, and red dotted lines are the current densities of the respective regions.

For evaluation of the red region of the color filter, the input spectrum of light is considered between 600 and 620 nm shown in Fig. 6a. The obtained current densities demonstrated in Fig. 6b show that the current in the red region is 147 µA × cm−2. This value is approximately six orders more than the current density of the blue region and seven orders more than the red one.

(a) The incident wave spectrum is a Gaussian beam with a center frequency of 610 nm and bandwidth of 20 nm. (b) The obtained current densities of three regions of the structure. The blue solid, green dashed, and red dotted lines are the current densities of the respective regions.

The Gaussian beams shown in Figs. 4 and 5 with different intensities are applied to the device to investigate the effect of input intensity on the current density. The results are illustrated in Fig. 7. The higher the input intensity, the more the current density. In Fig. 7a, the blue spectrum between 430 and 460 nm with intensities of 0.5, 1, 2, 3, and 4 mW × cm−2 are applied to the color filter. It leads to the maximum current densities of 18.1, 41.7, 88.9, 136, and 184 µA × cm−2, respectively. When the input intensity is within the green spectrum (520 to 540 nm), the maximum current densities are 41.17, 89, 183, 278, and 373 µA × cm−2 for the so-called respective input intensities. The higher transmitted intensity in the red spectrum results in the current intensities higher than the green and blue spectra. The maximum current densities of 66.9, 139, 284, 429, and 574 µA × cm−2 are obtained for input intensities of 0.5, 1, 2, 3, and 4 mW × cm−2, respectively, when the input spectrum is between 615 and 635 nm. As is seen from Fig. 7, the current density is linear concerning the input intensity. Figure 8 demonstrates this linear operation better. In this figure, the current densities are depicted at the 0.25 [V] versus input intensities when the electric field is considered Gaussian within the mentioned blue, green, and red spectrums.

The current densities at different input intensities in the blue (a), green (b), and red (c) contacts. (a) The incident wave spectrum is a Gaussian beam with a center frequency of 450 nm and bandwidth of 20 nm (Fig. 4a). (b) The incident wave spectrum is a Gaussian beam with a center frequency of 530 nm and bandwidth of 20 nm (Fig. 5a). (c) The incident wave spectrum is a Gaussian beam with a center frequency of 610 nm and bandwidth of 20 nm (Fig. 6a).

The current density versus input intensity at 0.25 [V]. The solid blue line is for the input spectrum of 430 to 460 nm. The green dashed line and red dotted line are obtained when the input spectrum is 520 to 540 nm and 600 to 620 nm, respectively.

As mentioned previously, the thickness of the SiO2 layer is 50 nm. The change in this dimension may result in an alteration of the current density; hence, an investigation of the influence of the SiO2 layer’s thickness has been done, and the results are depicted in Fig. 9. As is seen, the best dimension of the SiO2 layer is 50 nm leading to the maximum current densities for all three colors even though the changing of current densities is negligible for thicknesses between 45 and 55 nm. Therefore, in device fabrication, a few nanometer variances in SiO2 thickness are insignificant.

Current density for RGB colors in terms of the SiO2 layer’s thickness.

Another crucial dimension in the filter operation is the dimension of the Si layer. This layer determines which wavelength can be transmitted with a minimum reflection. Similar to the SiO2 layer, the thickness of the Si layer has been altered to evaluate its effect on the current densities. In the blue region, as is clear from Fig. 10a, the influence of this alteration around the selected value (50 nm) is negligible. For the green and red colors, the change in the Si layer results in small changes in the current densities, as demonstrated in Fig. 10b,c. For these reasons, the proposed device is reliable from the fabrication point of view.

The effect of change in the thickness of the Si layer on the current densities. The alteration is considered to be done around the selected dimensions which are 50 nm, 70 nm, and 100 nm for the blue, green, and red spectrums, respectively. (a) For the blue spectrum. (b) For the green spectrum. (c) For the red spectrum.

For better operation, the SiO2 layer can be replaced with another insulator, such as the Si3N4. The thickness of the Si3N4 layer is considered 50, 70, and 100 nm for the blue, green, and red spectra, respectively, which are precisely the thicknesses of the SiO2 layers. This replacement led to the transmission spectrums in Fig. 11a. Comparing this figure with Fig. 2 indicates that the operation of the device is promoted. The transmission value for all colors is better than before. Higher transmission value causes higher current densities demonstrated in Fig. 11b. The maximum current densities for the blue, green, and red regions are 37.7, 49.3, and 60.9 µA × cm−2, respectively.

(a) The transmission spectra when the SiO2 layer is replaced with the Si3N4. The solid blue line corresponds to the transmission just below the part of the structure related to the blue color. Similarly, the dashed green and dotted red lines represent the transmissions in which the output waves are monitored above the PN diode exactly below the respective region. (b) Current densities for RGB colors versus the bias voltage. The blue solid line is the current density given in the contact of VB. The densities in the contacts of VG and VR have been demonstrated by green dashed and dotted red lines, respectively. Without illumination, the black dash-dotted line is obtained in which the current density is roughly zero in all contacts.

The color filter based on the plasmonic multilayer structure was proposed in which three isolated parts were designed to detect three RGB colors separately. Every part consists of two main sections: filtering and diode. The filtering includes The SiO2 or insulator, The Si, and two silver layers. The thickness of silver and insulator are 10 and 50 nm, respectively. However, the Si layer’s thickness is considered 50, 70, and 100 nm for the respective blue, green, and red colors. The diode was considered a simple PN. For better operation, more sophisticated structures can be used for the diode. The device was simulated to obtain the transmission spectra for three RGB regions. Continually, the generation and current densities related to every color were obtained using the transmission. Furthermore, the effect of the insulator and Si layer’s thickness on current densities was investigated. Finally, the SiO2 layer was replaced with the Si3N4 to show that the operation of the device can even be promoted. The current densities increase approximately 40 percent for blue and green and 10% for red.

All data generated and analysed during the current study are available from the corresponding author on reasonable request.

Iqbal, M. A. et al. Nanostructures/graphene/silicon junction-based high-performance photodetection systems: Progress, challenges, and future trends. Adv. Mater. Interfaces 10(7), 2202208 (2023).

Article CAS Google Scholar

Bao, C. et al. High performance and stable all-inorganic metal halide perovskite-based photodetectors for optical communication applications. Adv. Mater. 30(38), 1803422 (2018).

Article Google Scholar

Wang, P. et al. Arrayed van Der Waals broadband detectors for dual-band detection. Adv. Mater. 29(16), 1604439 (2017).

Article Google Scholar

Armin, A. et al. Narrowband light detection via internal quantum efficiency manipulation of organic photodiodes. Nat. Commun. 6(1), 6343 (2015).

Article ADS CAS PubMed Google Scholar

Chan, W. C. W. & Nie, S. Quantum dot bioconjugates for ultrasensitive nonisotopic detection. Science 281(5385), 2016–2018 (1998).

Article ADS CAS PubMed Google Scholar

Zhou, L. et al. Single-band upconversion nanoprobes for multiplexed simultaneous in situ molecular mapping of cancer biomarkers. Nat. Commun. 6(1), 6938 (2015).

Article ADS CAS PubMed Google Scholar

Matsumoto, A. et al. On-site quantitative elemental analysis of metal ions in aqueous solutions by underwater laser-induced breakdown spectroscopy combined with electrodeposition under controlled potential. Anal. Chem. 87(3), 1655–1661 (2015).

Article CAS PubMed Google Scholar

Li, C. et al. Highly sensitive, fast response perovskite photodetectors demonstrated in weak light detection circuit and visible light communication system. Small 15(44), 1903599 (2019).

Article CAS Google Scholar

Meng, F. et al. Nanostructured color filters for CMOS image sensors. IEEE Photonics Technol. Lett. https://doi.org/10.1109/LPT.2023.3268350 (2023).

Article Google Scholar

Wang, B. et al. All-dielectric metasurface-based color filter in CMOS image sensor. Opt. Commun. 540, 129485 (2023).

Article CAS Google Scholar

Shaukat, A., Noble, F. & Arif, K. M. Nanostructured color filters: A review of recent developments. Nanomaterials 10(8), 1554 (2020).

Article CAS PubMed PubMed Central Google Scholar

Khaleghi, S. S. M. et al. Multicolor detour phase holograms based on an Al plasmonic color filter. Opt. Express 31(2), 2061–2071 (2023).

Article ADS CAS PubMed Google Scholar

Koo, H.-S., Chen, Mi. & Pan, P.-C. LCD-based color filter films fabricated by a pigment-based colorant photo resist inks and printing technology. Thin Solid Films 515(3), 896–901 (2006).

Article ADS CAS Google Scholar

Gather, M. C. et al. Solution-processed full-color polymer organic light-emitting diode displays fabricated by direct photolithography. Adv. Funct. Mater. 17(2), 191–200 (2007).

Article ADS CAS Google Scholar

Xu, J. et al. Wavelength-converted/selective waveguiding based on composition-graded semiconductor nanowires. Nano Lett. 12(9), 5003–5007 (2012).

Article ADS CAS PubMed Google Scholar

Walia, J. et al. Color generation and refractive index sensing using diffraction from 2D silicon nanowire arrays. Small 10(1), 144–151 (2014).

Article MathSciNet CAS PubMed Google Scholar

Yue, W. et al. Highly reflective subtractive color filters capitalizing on a silicon metasurface integrated with nanostructured aluminum mirrors. Laser Photonics Rev. 11(3), 1600285 (2017).

Article ADS Google Scholar

Kang, Y. et al. Quantum dots for wide color gamut displays from photoluminescence to electroluminescence. Nanoscale Res. Lett. 12(1), 1–8 (2017).

Article ADS Google Scholar

Barnes, W. L., Dereux, A. & Ebbesen, T. W. Surface plasmon subwavelength optics. Nature 424(6950), 824–830 (2003).

Article ADS CAS PubMed Google Scholar

Genet, C. & Ebbesen, T. W. Light in tiny holes. Nature 445(7123), 39–46 (2007).

Article ADS CAS PubMed Google Scholar

Atwater, H. A. The promise of plasmonics. Sci. Am. 296(4), 56–63 (2007).

Article CAS PubMed Google Scholar

Gao, Y. et al. Single-mode graphene-coated nanowire plasmonic waveguide. Opt. Lett. 39(20), 5909–5912 (2014).

Article ADS CAS PubMed Google Scholar

Beheshti Asl, A. et al. A perfect electrically tunable graphene-based metamaterial absorber. J. Comput. Electron. 20, 864–872 (2021).

Article CAS Google Scholar

Li, W. et al. Refractory plasmonics with titanium nitride: Broadband metamaterial absorber. Adv. Mater. 26(47), 7959–7965 (2014).

Article ADS CAS PubMed Google Scholar

Kazuma, E. & Tatsuma, T. Localized surface plasmon resonance sensors based on wavelength-tunable spectral dips. Nanoscale 6(4), 2397–2405 (2014).

Article ADS CAS PubMed Google Scholar

Shakya, J. R., Shashi, F. H. & Wang, A. X. Plasmonic color filter array based visible light spectroscopy. Sci. Rep. 11(1), 23687 (2021).

Article ADS CAS PubMed PubMed Central Google Scholar

Asl, A. B., Rostami, A. & Amiri, I. S. Terahertz bandpass filter design using multilayer metamaterials. Opt. Quantum Electron. 52, 1–13 (2020).

Article Google Scholar

Fleischman, D. et al. Hyper-selective plasmonic color filters. Opt. Express 25(22), 27386–27395 (2017).

Article ADS CAS PubMed Google Scholar

Song, M. et al. Colors with plasmonic nanostructures: A full-spectrum review. Appl. Phys. Rev. 6(4), 041308 (2019).

Article ADS CAS Google Scholar

Song, M. et al. Color display and encryption with a plasmonic polarizing meta mirror. Nanophotonics 7(1), 323–331 (2018).

Article Google Scholar

Li, Z., Clark, A. W. & Cooper, J. M. Dual color plasmonic pixels create a polarization controlled nano color palette. ACS Nano 10(1), 492–498 (2016).

Article PubMed Google Scholar

Shu, F.-Z. et al. Dynamic plasmonic color generation based on phase transition of vanadium dioxide. Adv. Opt. Mater. 6(7), 1700939 (2018).

Article Google Scholar

Chiang, Y.-L. et al. Mechanically tunable surface plasmon resonance based on gold nanoparticles and elastic membrane polydimethylsiloxane composite. Appl. Phys. Lett. 96(4), 041904 (2010).

Article ADS Google Scholar

Zhang, Y. et al. Full-visible multifunctional aluminum metasurfaces by in situ anisotropic thermo plasmonic laser printing. Nanoscale Horiz. 4(3), 601–609 (2019).

Article ADS CAS Google Scholar

Xu, T. et al. Plasmonic nanoresonators for high-resolution color filtering and spectral imaging. Nat. Commun. 1(1), 59 (2010).

Article ADS PubMed Google Scholar

Cheng, F. et al. Structural color printing based on plasmonic metasurfaces of perfect light absorption. Sci. Rep. 5(1), 11045 (2015).

Article ADS CAS PubMed PubMed Central Google Scholar

Clausen, J. S. et al. Plasmonic metasurfaces for coloration of plastic consumer products. Nano Lett. 14(8), 4499–4504 (2014).

Article ADS CAS PubMed Google Scholar

Si, G. et al. Reflective plasmonic color filters based on lithographically patterned silver nanorod arrays. Nanoscale 5(14), 6243–6248 (2013).

Article ADS CAS PubMed Google Scholar

Goh, X. M. et al. Comparative study of plasmonic colors from all-metal structures of posts and pits. ACS Photonics 3(6), 1000–1009 (2016).

Article CAS Google Scholar

Shaltout, A. M. et al. Ultrathin and multicolor optical cavities with embedded metasurfaces. Nat. Commun. 9(1), 2673 (2018).

Article ADS PubMed PubMed Central Google Scholar

Heidarzadeh, H. et al. Plasmon-enhanced performance of an ultrathin silicon solar cell using metal-semiconductor core-shell hemispherical nanoparticles and metallic back grating. Appl. Opt. 55(7), 1779–1785 (2016).

Article ADS CAS PubMed Google Scholar

Surawijaya, A. et al. Modeling and simulation of Si grating photodetector fabricated using MACE method for NIR spectrum. Electronics 12(3), 663 (2023).

Article CAS Google Scholar

Neamen, D. A. Semiconductor Physics, and Devices Basic Principles (Tata McGraw Hill Publishing, 1992).

Google Scholar

Lian, Y. et al. Structural color of multi-order Fabry–Perot resonator based on Sc0.2Sb2Te3 enhanced saturated reflection color. Photonics 10(1), 70 (2023).

Article CAS Google Scholar

Yu, Y. et al. Spatial optical crosstalk in CMOS image sensors integrated with plasmonic color filters. Opt. Express 23(17), 21994–22003 (2015).

Article ADS CAS PubMed Google Scholar

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Photonics and Nanocrystals Research Lab (PNRL), Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

A. Beheshti Asl, H. Ahmadi & A. Rostami

SP-EPT Lab., ASEPE Company, Industrial Park of Advanced Technologies, Tabriz, Iran

H. Ahmadi & A. Rostami

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A.B.A. wrote the paper and simulated the results. H.A. simulated the results and wrote the paper and A.R. supervised the project, proposed the basic idea and edited the manuscript.

Correspondence to A. Rostami.

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Asl, A.B., Ahmadi, H. & Rostami, A. A novel plasmonic metal–semiconductor–insulator–metal (MSIM) color sensor compatible with CMOS technology. Sci Rep 13, 14029 (2023). https://doi.org/10.1038/s41598-023-41346-4

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Received: 29 June 2023

Accepted: 24 August 2023

Published: 28 August 2023

DOI: https://doi.org/10.1038/s41598-023-41346-4

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