DocumentCode :
1542928
Title :
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
Link To Document :
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