In-plane photonic crystal and nanophotonic devices

Author(s):  
Shanhui Fan ◽  
Zheng Wang ◽  
Xianfang Yu ◽  
Wah Tung Lau ◽  
Hocheol Shin
2008 ◽  
Author(s):  
Weidong Zhou ◽  
Zhenqiang Ma ◽  
Hongjun Yang ◽  
Li Chen ◽  
Zexuan Qiang ◽  
...  

2005 ◽  
Vol 872 ◽  
Author(s):  
W. Park ◽  
E. Schonbrun ◽  
M. Tinker ◽  
Q. Wu ◽  
J.-B. Lee

AbstractWe report a novel tunable nanophotonic device concept based on Mechanically Controlled Photonic Crystal (MCPC), which is comprised of a periodic array of high index dielectric material and a low index polymer. Tunability is achieved by applying mechanical force with nano-/micro-electron-mechanical system actuators. The mechanical stress induces changes in the periodicity of the photonic crystal, to which the photonic band structure is extremely sensitive. This consequently produces tunability much greater than that achievable by electro-optic materials such as liquid crystal. Our theoretical investigations revealed that we could achieve dynamic beam steering over a wide range of angles up to 75° with only 10% mechanical stretching. We also predicted tunable sub-wavelength imaging in which we could tune the frequency response and focal length of negative index PC lens. For experimental demonstration, we fabricated the PC structures on Si-on-insulator substrates. Optical characterizations clearly showed the anticipated negative refraction in which the incident beam was refracted back to the side it was incident. The experimental demonstration of negative refraction at optical frequencies in a Si-based photonic crystal structure is a significant step toward the next-generation nanophotonics.


2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).


2018 ◽  
Vol 8 (3) ◽  
pp. 172-188
Author(s):  
M. Abdulmahdi ◽  
S. Sarsooh ◽  
M. Oleiwi
Keyword(s):  

2014 ◽  
Vol 1 ◽  
pp. 356-359
Author(s):  
Yoshinori Tanaka ◽  
Takashi Asano ◽  
Susumu Noda

2009 ◽  
Vol 129 (4) ◽  
pp. 601-607
Author(s):  
Shubi F. Kaijage ◽  
Yoshinori Namihira ◽  
Nguyen H. Hai ◽  
Feroza Begum ◽  
S. M. Abdur Razzak ◽  
...  

2012 ◽  
Vol E95.C (7) ◽  
pp. 1244-1251 ◽  
Author(s):  
Koji TAKEDA ◽  
Tomonari SATO ◽  
Takaaki KAKITSUKA ◽  
Akihiko SHINYA ◽  
Kengo NOZAKI ◽  
...  

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