Resonant cavity enhanced photodetectors

El-Batawy, Yasser M.; Mohammedy, Farseem Mannan; Deen, M. Jamal

doi:10.1016/b978-1-78242-445-1.00013-0

Cited by 9 publications

(5 citation statements)

References 87 publications

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“…An approach to achieve a spectral response tunable over a broad wavelength range is to incorporate organic semiconductors into a Fabry–Perot cavity device architecture. − To obtain high spectral selectivity, the optical depth (absorption coefficient times thickness) of the photon-active layer sandwiched in between the two mirrors needs to be small. However, the typically very high absorption coefficients of the organic semiconductor, considered for organic photovoltaics or photodetectors, are extremely high to allow narrowband enhancement when incorporated as a 100 nm thin film in a cavity device architecture.…”

Section: Introductionmentioning

confidence: 99%

Cavity-Enhanced Near-Infrared Organic Photodetectors Based on a Conjugated Polymer Containing [1,2,5]Selenadiazolo[3,4-c]Pyridine

Yang

Huang

et al. 2021

Chem. Mater.

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Miniaturization of spectrometers can be achieved using an array of narrowband photodetectors responsive at specific wavelengths. In this work, sensitive organic narrowband photodetectors with tunable spectral response in the near-infrared (NIR) wavelength range are demonstrated. This is achieved using a resonant optical-cavity device architecture based on a thick ZnO spacer to increase the weak NIR absorption of a low-band gap conjugated polymer containing [1,2,5]selenadiazolo [3,4-c]pyridine. We realize spectral response full-width at half-maximum (FWHM) values down to 22 nm and achieve calculated peak specific detectivity (D*) over 10 11 Jones in these cavity-enhanced photodetectors. More importantly, we achieve continuously tuned detection wavelengths over a wide wavelength range of 660−1510 nm. This allows for a proof-of-concept demonstration of a miniaturized spectrometer for the NIR wavelength range and can resolve the NIR characteristic absorption bands of water, ethanol, and acetone.

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Section: Introductionmentioning

confidence: 99%

Cavity-Enhanced Near-Infrared Organic Photodetectors Based on a Conjugated Polymer Containing [1,2,5]Selenadiazolo[3,4-c]Pyridine

Yang

Huang

et al. 2021

Chem. Mater.

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“…For input, the proposed attojoule neuron design will utilize a low-Q nanophotonic crystal photodetector with a Ge/Si cavity. The photonic crystal creates a resonant cavity that increases the confinement of light and reduces the size of the absorption medium [59], [60]. This allows for an ultra-low capacitance (∼0.1fF) nano-cavity PD that can generate sufficiently large voltage without amplification when combined with a highimpedance load [7].…”

Section: A Our Future System and Benchmarkingmentioning

confidence: 99%

Scalable Nanophotonic-Electronic Spiking Neural Networks

Srouji

Lee

et al. 2023

IEEE J. Select. Topics Quantum Electron.

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Spiking neural networks (SNN) provide a new computational paradigm capable of highly parallelized, real-time processing. Photonic devices are ideal for the design of high-bandwidth, parallel architectures matching the SNN computational paradigm. Furthermore, the co-integration of CMOS and photonic elements combineslow-loss photonic devices with analog electronics for greater flexibility of nonlinear computational elements. We designed and simulated an optoelectronic spiking neuron circuit on a monolithic silicon photonics (SiPh) process that replicates useful spiking behaviors beyond the leaky integrate-and-fire (LIF). Additionally, we explored two learning algorithms with the potential for on-chip learning using Mach-Zehnder Interferometric (MZI) meshes as synaptic interconnects. A variation of Random Backpropagation (RPB) was experimentally demonstrated on-chip and matched the performance of a standard linear regression on a simple classification task. In addition, we applied the Contrastive Hebbian Learning (CHL) rule to a simulated neural network composed of MZI meshes for a random input-output mapping task. The CHL-trained MZI network performed better than random guessing but did not match the performance of the ideal neural network (without the constraints imposed by the MZI meshes). Through these efforts, we demonstrate that co-integrated CMOS and SiPh technologies are well-suited to the design of scalable SNN computing architectures.

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“…This layer is placed in an asymmetric Fabry-Pérot cavity of the RCE structure. Such a cavity is usually made of two parallel mirrors consisting of quarter-wavelength stacks (QWS) with periodic refractive index modulation [31,32].…”

Section: Silicon-based Photodetectorsmentioning

confidence: 99%

Ultraviolet Photodetectors: From Photocathodes to Low-Dimensional Solids

Rogalski

Bielecki

Mikołajczyk

et al. 2023

Sensors

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The paper presents the long-term evolution and recent development of ultraviolet photodetectors. First, the general theory of ultraviolet (UV) photodetectors is briefly described. Then the different types of detectors are presented, starting with the older photoemission detectors through photomultipliers and image intensifiers. More attention is paid to silicon and different types of wide band gap semiconductor photodetectors such as AlGaN, SiC-based, and diamond detectors. Additionally, Ga2O3 is considered a promising material for solar-blind photodetectors due to its excellent electrical properties and a large bandgap energy. The last part of the paper deals with new UV photodetector concepts inspired by new device architectures based on low-dimensional solid materials. It is shown that the evolution of the architecture has shifted device performance toward higher sensitivity, higher frequency response, lower noise, and higher gain-bandwidth products.

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Resonant cavity enhanced photodetectors

Cited by 9 publications

References 87 publications

Cavity-Enhanced Near-Infrared Organic Photodetectors Based on a Conjugated Polymer Containing [1,2,5]Selenadiazolo[3,4-c]Pyridine

Cavity-Enhanced Near-Infrared Organic Photodetectors Based on a Conjugated Polymer Containing [1,2,5]Selenadiazolo[3,4-c]Pyridine

Scalable Nanophotonic-Electronic Spiking Neural Networks

Ultraviolet Photodetectors: From Photocathodes to Low-Dimensional Solids

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