Simulation Design of a Low Threshold Hybrid Plasmonic Nanolaser

2017 ◽  
Vol 46 (8) ◽  
pp. 814002
Author(s):  
李志全 LI Zhi-quan ◽  
冯丹丹 FENG Dan-dan ◽  
白兰迪 BAI Lan-di ◽  
刘同磊 LIU Tong-lei ◽  
岳中 YUE Zhong ◽  
...  
2018 ◽  
Vol 8 (11) ◽  
pp. 2186 ◽  
Author(s):  
Litu Xu ◽  
Fang Li ◽  
Shuai Liu ◽  
Fuqiang Yao ◽  
Yahui Liu

A hybrid plasmonic nanolaser based on nanowire/air slot/semicircular graphene and metal wire structure was designed. In this structure, the waveguides in the nanowires and the graphene-metal interface are coupled to form a hybrid plasma mode, which effectively reduces the metal loss. The mode and strong coupling of the laser are analyzed by using the finite-element method. Its electric field distribution, propagation loss, normalized mode area, quality factor, and lasing threshold are studied with the different geometric model. Simulation results reveal that the performance of the laser using this structure can be optimized by adjusting the model parameters. Under the optimal parameters, the effective propagation loss is only 0.0096, and the lasing threshold can be as low as 0.14 μm−1. This structure can achieve deep sub-wavelength confinement and low-loss transmission, and provides technical support for the miniaturization and integration of nano-devices.


2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Qing Zhang ◽  
Guangyuan Li ◽  
Xinfeng Liu ◽  
Fang Qian ◽  
Yat Li ◽  
...  

2021 ◽  
Vol 42 (12) ◽  
pp. 122803
Author(s):  
Ting Zhi ◽  
Tao Tao ◽  
Xiaoyan Liu ◽  
Junjun Xue ◽  
Jin Wang ◽  
...  

Abstract Plasmonic nanolaser as a new type of ultra-small laser, has gain wide interests due to its breaking diffraction limit of light and fast carrier dynamics characters. Normally, the main problem that need to be solved for plasmonic nanolaser is high loss induced by optical and ohmic losses, which leads to the low quality factor. In this work, InGaN/GaN nanoplate plasmonic nanolaser with large interface area were designed and fabricated, where the overlap between SPs and excitons can be enhanced. The lasing threshold is calculated to be ~6.36 kW/cm2, where the full width at half maximum (FWHM) drops from 27 to 4 nm. And the fast decay time at 502 nm (sharp peak of stimulated lasing) is estimated to be 0.42 ns. Enhanced lasing characters are mainly attributed to the strong confinement of electromagnetic wave in the low refractive index material, which improve the near field coupling between SPs and excitons. Such plasmonic laser should be useful in data storage applications, biological application, light communication, especially for optoelectronic devices integrated into a system on a chip.


2021 ◽  
pp. 2100087
Author(s):  
Yongping Li ◽  
Yufeng Yuan ◽  
Xiao Peng ◽  
Feifan Zhou ◽  
Jun Song ◽  
...  

Plasmonics ◽  
2016 ◽  
Vol 12 (4) ◽  
pp. 1145-1151 ◽  
Author(s):  
Luwei Wang ◽  
Junle Qu ◽  
Jun Song ◽  
Jinhong Xian

Author(s):  
Yusheng Bian ◽  
Zheng Zheng ◽  
Jiansheng Liu ◽  
Jinsong Zhu ◽  
Tao Zhou

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.


2014 ◽  
Author(s):  
Chris H. J. Hartgerink
Keyword(s):  

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