waveguide taper
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2021 ◽  
Vol 46 (19) ◽  
pp. 5027
Author(s):  
Jingjing Zhang ◽  
Xiaodong Shi ◽  
Zhaojian Zhang ◽  
Chao Ma ◽  
Xuefeng Chen ◽  
...  

Silicon ◽  
2020 ◽  
Author(s):  
Venkatachalam Rajarajan Balaji ◽  
Mahalingam Murugan ◽  
Savarimuthu Robinson ◽  
Gopalkrishna Hegde

Nanophotonics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 159-166 ◽  
Author(s):  
Jie Huang ◽  
Junbo Yang ◽  
Dingbo Chen ◽  
Wei Bai ◽  
Jingmin Han ◽  
...  

AbstractAdiabatic waveguide taper and on-chip wavelength demultiplexer are the key components of photonic integrated circuits. However, these two kinds of devices which were designed by the traditional semi-analytic methods or the brute-force search methods usually have large size. Here, based on the regularized digital metamaterials, a two-channel focused wavelength demultiplexer with a footprint of 2.4 × 10 μm2 has been proposed. The designed demultiplexer can directly connect to a grating coupler under the absence of a long adiabatic waveguide taper. The objective first method and the modified steepest descent method are used to design the demultiplexer which splits 1520 nm and 1580 nm light. Experimental results show that the insertion loss of the upper (lower) channel of the demultiplexer is −1.77 dB (−2.10 dB) and the crosstalk is −25.17 dB (−12.14 dB). Besides, the simulation results indicate that the fabrication tolerance of the device can reach ±20 nm in etching depth and ±10 nm in plane size changing. Benefitted from the extensibility of the design method, other types of ultra-compact “focused” devices, like mode splitters, mode converters, and power splitters can also be designed. Most importantly, this design method can be used to design devices with more complicated functionalities, such as multi-channel focused wavelength demultiplexers.


2019 ◽  
Vol 448 ◽  
pp. 48-54 ◽  
Author(s):  
Chao Mei ◽  
Jinhui Yuan ◽  
Feng Li ◽  
Binbin Yan ◽  
Xinzhu Sang ◽  
...  

2019 ◽  
Vol 11 (4) ◽  
pp. 1-11
Author(s):  
Yujun Cheng ◽  
Jinhui Yuan ◽  
Chao Mei ◽  
Feng Li ◽  
Binbin Yan ◽  
...  

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