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

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5 Author(s)
Angelo Passaro ; Institute for Advanced Studies,, S.J.Campos,, Brazil ; Roberto Yuji Tanaka ; Ademar Muraro ; Gustavo Soares Vieira
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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.

Published in:

IEEE Transactions on Magnetics  (Volume:46 ,  Issue: 8 )