Self-Consistent Optimization of Multi-Quantum Well Structures by a Genetic Algorithm

Author

Passaro, Angelo ; Tanaka, Roberto Yuji ; Muraro, Ademar, Jr. ; Vieira, Gustavo Soares ; Abe, Nancy Mieko

Author_Institution

Inst. for Adv. Studies, Brazil

Volume

46

Issue

8

fYear

2010

Firstpage

2759

Lastpage

2762

Abstract

This work presents a self-consistent optimization of multi-quantum well based nanostructured semiconductors. A Genetic Algorithm is used for the search module. The simulation module is based on the self-consistent solution of the coupled Poisson and Schrödinger equations by using the finite-element method. The results of two case tests are presented and discussed.

Keywords

Poisson equation; Schrodinger equation; finite element analysis; genetic algorithms; nanostructured materials; semiconductor device models; semiconductor quantum wells; Poisson equations; Schrodinger equations; finite-element method; genetic algorithm; multiquantum well structures; nanostructured semiconductors; search module; self-consistent optimization; self-consistent solution; simulation module; Design optimization; Gallium arsenide; Genetic algorithms; Photodetectors; Poisson equations; Quantum cascade lasers; Quantum dot lasers; Quantum well devices; Semiconductor device doping; Semiconductor materials; Genetic algorithms; optimization methods; quantum effect semiconductor devices; quantum wells;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2010.2044151

Filename

5512881