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

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.

I. Introduction

A number of devices, both commercial and in development, such as quantum well infrared photodetectors [1], quantum dot infrared photodetector [2], and quantum cascade laser, QCL [3], depend on a detailed design of its band structure, what has become known as band engineering [4].