Complementary photonic crystal integrated logic devices

2020 ◽  
Vol 45 (19) ◽  
pp. 5502
Author(s):  
Luis Pedraza Caballero ◽  
Michelle L. Povinelli ◽  
Jhonattan C. Ramirez ◽  
Paulo S. S. Guimarães ◽  
Omar P. Vilela Neto
Keyword(s):  
Photonic Crystal ◽  
Logic Devices ◽  
Integrated Logic

scholarly journals A Review on Photonic Crystal Logic Gates

2021 ◽  
Vol 16 (1) ◽  
pp. 1-13
Author(s):  
Luis Eduardo Pedraza Caballero ◽  
Omar Paranaiba Vilela Neto
Keyword(s):  
Photonic Crystal ◽  
Photonic Crystals ◽  
Nonlinear Effects ◽  
Logic Gates ◽  
Logic Devices ◽  
Integrated Logic ◽  
Multi Mode ◽  
Mode Interference

We review the most important techniques to build logic devices in photonic crystals. In particular, we evaluated several papers that include different approaches such as self-collimation effects, multi-mode interference, waveguide intersection path and nonlinear effects. We then exploited the advantages and weakness of each method. With the resulting information, we addressed the main challenges and possible applications for each scheme. With this review we expect to improve the development of PhC integrated logic devices and circuits.

scholarly journals Photonic Crystal Integrated Logic Gates and Circuits

2022 ◽  
Author(s):  
Luis Pedraza ◽  
Michelle Povinelli ◽  
JHONATTAN CORDOBA RAMIREZ ◽  
Paulo Soares Guimaraes ◽  
Omar Vilela Neto
Keyword(s):  
Photonic Crystal ◽  
Logic Gates ◽  
Integrated Logic

Enhanced Artificial Intelligent Method for Representing the Photonic Crystal Fiber Profile Index

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud
Keyword(s):  
Genetic Algorithms ◽  
Photonic Crystal ◽  
Photonic Crystal Fiber ◽  
New Method ◽  
Proper Solution ◽  
Artificial Intelligent ◽  
Crystal Fiber ◽  
Fitness Value ◽  
First Pass ◽  
Crossover And Mutation

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).

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