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Plasmonic nanorods for enhanced absorption in mid-wavelength infrared detectors 中波长红外探测器中增强吸收的等离子体纳米棒
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541514
M. Vallone, M. Goano, A. Tibaldi, S. Hanna, D. Eich, A. Wegmann, H. Figgemeier, G. Ghione, F. Bertazzi
The absorption properties of HgCdTe-based infrared detectors can be greatly increased in the mid-infrared band, by incorporating nanostructured plasmonic arrays on the illuminated detector face. The array periodicity, combined with the excitation of surface plasmon-polariton stationary modes, enhances the absorption efficiency by a substantial amount, allowing to reduce in turn the HgCdTe absorption thickness.
将纳米结构等离子体阵列应用于hgcdte红外探测器表面,可大大提高其中红外波段的吸收性能。阵列的周期性与表面等离子体-极化子固定模式的激发相结合,大大提高了吸收效率,从而减少了HgCdTe的吸收厚度。
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引用次数: 0
Thermal and optical simulation of InP on Si nanocavity lasers InP在Si纳米腔激光器上的热光学模拟
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541426
P. Wen, P. Tiwari, K. Moselund, B. Gotsmann
Accurate prediction of thermal effects is important for scaled photonic devices as excessive heating may lead to device failure. This paper addresses numerical modeling of thermal properties of InP nanocavity lasers on Si combined with optical simulations in Lumerical and lasing threshold measurements. Different geometries with diameters ranging from 200 nm to 2 µm are studied, revealing an optimal diameter of around 1000 nm when considering both thermal effects and optical confinement. The temperature profile of the nanocavity lasers reveals that thinning the underlying SiO2 is the most efficient way to improve the thermal properties of the nanocavity lasers.
热效应的准确预测对于尺度光子器件来说是非常重要的,因为过热可能导致器件失效。本文研究了硅基InP纳米腔激光器热性能的数值模拟,并结合激光数值模拟和激光阈值测量。研究了直径从200 nm到2 μ m的不同几何形状,在考虑热效应和光学约束的情况下,揭示了1000 nm左右的最佳直径。纳米腔激光器的温度分布表明,减薄底层SiO2是改善纳米腔激光器热性能的最有效方法。
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引用次数: 0
Optical properties of a waveguide-fed plasmonic nano-array through approximated scattering theory 用近似散射理论研究波导馈入等离子体纳米阵列的光学特性
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541521
B. Alam, A. Ferraro, A. d’Alessandro, R. Caputo, R. Asquini
We analyze the optical scattering properties of an array of Au nano-cylinders fabricated upon an ion-exchanged waveguide. The integrated systems is considered for fluoroscopy and Raman spectroscopy. Absorption, scattering and extinction have been calculated through a combination of Finite Difference Time Domain (FDTD) method and scattering theory. While a portion of the excitation signal interacts with the array, the remaining part flows through the waveguide, enabling areas within the simulation box that complicate the calculation through standard procedures. Our analysis includes adjustments and approximations addressing this issue and making full use of computational capabilities of FDTD.
分析了在离子交换波导上制备的金纳米柱阵列的光学散射特性。该集成系统被认为是用于荧光检查和拉曼光谱。利用时域有限差分(FDTD)方法和散射理论相结合的方法计算了光的吸收、散射和消光。当一部分激励信号与阵列相互作用时,其余部分流经波导,使模拟盒内的区域通过标准程序使计算复杂化。我们的分析包括解决这个问题的调整和近似,并充分利用时域有限差分的计算能力。
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引用次数: 1
Understanding the photon-photon resonance of DBR lasers using mode expansion method 用模展开法研究DBR激光器的光子-光子共振
Da Chen, Ye Liu, Yonglin Yu
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引用次数: 1
Modeling Efficiency of InAs-Based Near-Field Thermophotovoltaic Devices 基于inas的近场热光伏器件的建模效率
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541515
G. Forcade, C. Valdivia, Shengyuan Lu, S. Molesky, Alejandro W. Rodriguez, J. Krich, R. St-Gelais, K. Hinzer
Enormous potential lies in waste-heat recycling for the world’s industrial sector. Portable solid-state modules are a universal low-maintenance method to recycle this waste-heat. One such technology, near-field thermophotovoltaics (NFTPV), relies on a heat source in extreme proximity (<200 nm) to a photovoltaic cell, which then generates electricity. We developed an optoelectronic model where electron-hole pair generation rates are calculated using fluctuation electrodynamics, which we input into an electrical model based in Synopsys TCAD Sentaurus. Using our optoelectronic model, we optimized a novel InAs-based NFTPV device for a 700 K radiator 100 nm away from the PV cell with an efficiency reaching ~17%, more than an order of magnitude higher than current NFTPV device efficiencies.
世界工业部门的废热回收潜力巨大。便携式固态模块是一种普遍的低维护方法来回收这些废热。其中一项技术是近场热光伏(NFTPV),它依赖于一个距离光伏电池极近(<200纳米)的热源,然后光伏电池产生电力。我们开发了一个光电模型,其中使用波动电动力学计算电子-空穴对产生率,我们将其输入到基于Synopsys TCAD Sentaurus的电学模型中。利用我们的光电模型,我们优化了一种新型的基于inas的NFTPV器件,在距离PV电池100 nm的700 K散热器上,效率达到了~17%,比目前的NFTPV器件效率高出一个数量级。
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引用次数: 0
Ge-on-Si waveguide photodetectors: multiphysics modeling and experimental validation 锗硅波导光电探测器:多物理场建模和实验验证
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541424
M. Alasio, M. Goano, A. Tibaldi, F. Bertazzi, S. Namnabat, Donald Adams, P. Gothoskar, F. Forghieri, G. Ghione, M. Vallone
This work compares a multiphysics modeling approach with experimental measurements of two Ge-on-Si butt-coupled waveguide photodetectors. The coupled three-dimensional electromagnetic and electrical simulation of the frequency response shows promising agreement with the measurements at 1310 nm, and provides detailed information about significant microscopic quantities, such as the spatial distribution of the optical generation rate.
本工作将多物理场建模方法与两个锗硅对接耦合波导光电探测器的实验测量进行了比较。频率响应的三维耦合电磁和电学模拟结果与1310 nm处的测量结果一致,并提供了重要的微观量的详细信息,如光产生率的空间分布。
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引用次数: 1
Photoresponse uniformity in planar InP/InGaAs avalanche photodiodes 平面InP/InGaAs雪崩光电二极管的光响应均匀性
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541432
A. Walker, O. Pitts
Numerical simulation of the electric field distribution and photocurrent response of a planar InP/InGaAs avalanche photodiode is presented as a function of varying multiplication width. The Zn dopant diffusion front is obtained by numerically simulating the diffusion process. The simulation results indicate that while a local peak value of the electric field is observed near the device edge, it is not associated with a significant increase in the photocurrent response.
本文给出了平面InP/InGaAs雪崩光电二极管的电场分布和光电流响应随倍增宽度变化的数值模拟。通过对扩散过程的数值模拟,得到了锌掺杂物的扩散前沿。仿真结果表明,虽然在器件边缘附近观察到电场的局部峰值,但它与光电流响应的显着增加无关。
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引用次数: 0
Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Extreme Learning Machine 基于极限学习机的量子点激光器双态发射动态响应预测
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541499
Wild F. S. Santos, E. Filho, G. Thé
Dual-state emission is an phenomenon which takes place in Quantum Dot Lasers at different temperature and operating conditions. In this study, we investigate that issue from a nonlinear regression model based on Extreme Learning Machine, which revealed to be able to predict the spectrally resolved transient response of InAs/InGaAs quantum dot laser with error performance as low as 0.54%.
双态发射是量子点激光器在不同温度和工作条件下发生的一种现象。在本研究中,我们从基于极限学习机的非线性回归模型中研究了这一问题,结果表明,该模型能够预测InAs/InGaAs量子点激光器的光谱分辨瞬态响应,误差性能低至0.54%。
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引用次数: 0
Performance of Plasmonic Side-Coupled Waveguide Photodetector with Varying Schottky Barrier Height 变肖特基势垒高度等离子体侧耦合波导光电探测器的性能
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541438
Q. Ding, A. Schenk
The impact of Schottky barrier height (SBH) on the performance of a side-coupled plasmonic waveguide photodetector (WGPD) is theoretically investigated by 3D opto-electrical simulations. A general decrease of the cut-off frequency is observed for all studied barrier heights (0.1 eV to 0.6 eV), most pronounced in the range (0.3 - 0.4) eV. The degradation is an electrostatic effect caused by the formation of the Schottky barrier in the i-region of the device.
通过三维光电仿真,从理论上研究了肖特基势垒高度(SBH)对侧耦合等离子波导光电探测器性能的影响。在所研究的势垒高度(0.1 eV至0.6 eV)范围内,截止频率普遍下降,在(0.3 - 0.4)eV范围内最为明显。这种退化是由于在器件的i区形成肖特基势垒引起的静电效应。
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引用次数: 0
Machine Learning & multiscale simulations: toward fast screening of organic semiconductor materials 机器学习与多尺度模拟:迈向有机半导体材料的快速筛选
Pub Date : 2021-09-13 DOI: 10.1109/NUSOD52207.2021.9541414
M. Rinderle, A. Gagliardi
Organic semiconductor devices promise cost-efficient processability at low temperatures, but the usually amorphous materials suffer from low charge carrier mobility. The search for high mobility organic semiconductor materials has thrived data science and Machine Learning approaches to screen the vast amount of possible organic materials. We present a multiscale simulation model based on machine learned transfer integrals to compute the charge carrier mobility in organic thin films.
有机半导体器件承诺在低温下具有低成本的可加工性,但通常非晶材料的载流子迁移率低。对高迁移率有机半导体材料的搜索已经蓬勃发展,数据科学和机器学习方法可以筛选大量可能的有机材料。提出了一种基于机器学习传递积分的多尺度模拟模型来计算有机薄膜中的载流子迁移率。
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引用次数: 2
期刊
2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)
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