Structural optimization of a superlattice infrared photodetector by evolutionary computation algorithms

Abstract

We present a study of the use of evolutionary computation in the design of a new superlattice infrared photodetector (SLIP). Four optimization algorithms were used to find the parameters of the superlattice, specifically the thickness of the quantum wells and quantum barriers, which give the desired detection energy with the highest possible oscillator strength. The initial parameters for optimization are of a reference SLIP with detection energy and corresponding oscillator strength equal to 300 meV and 0.22, respectively. All optimization algorithms converged to a new superlattice with an oscillator strength around 0.35 for the same detection, a value 59% greater than the reference SLIP.