Optimization of the electrical efficiency of graded multilayer organic light-emitting diodes supported by genetic algorithm


Abstract:

In this study the electrical properties of organic light-emitting diodes with multiple graded layers were simulated and optimized. The simulations were accomplished through an analytical model presented in the literature and the optimization methodology consisted of applying a Genetic Algorithm, using the model result to calculate the fitness function, in order to systematically evaluate and evolve distinct device architectures in four case studies, with the number of graded layers ranging from two to five layers. For each case study the concentration profiles of electron transport material were varied so as to enhance their electrical efficiency. This objective was achieved through the minimization of a quality factor that is a function of both voltage and current density f (V,J)=V/J0.5. The best structures were those containing two and four graded layers, in which the quality factor was smaller than the previous optimization presented in the literature. Copyright © 2014 American Scientific Publishers.

Año de publicación:

2014

Keywords:

  • Electrical Efficiency
  • ML-OLED
  • Genetic Algorithm
  • Optimization

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Algoritmo
  • Algoritmo
  • Energía

Áreas temáticas:

  • Física aplicada
  • Métodos informáticos especiales