Optimization of GaAs amplification photodetectors for 700% quantum efficiency

Abstract

Abstract-We investigate the device physics of novel GaAs waveguide photodetectors with integrated photon multiplication. Such detectors have the potential to achieve simultaneously high saturation power, high speed, high responsivity, and quantum efficiencies above 100%. Our device design vertically combines a bulk photodetector ridge waveguide region with laterally confined quantum wells for amplification. Measurements on the first device generation show quantum efficiencies of only 56%. Advanced device simulation is employed to analyze these devices and to reveal performance limitations. Excellent agreement between simulations and measurements is obtained. Device design optimization is proposed, promising more than 700% efficiency.

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“…2 (a). The optical loss due to the free-carrier and intervalenceband absorption is calculated by α = k n • n + k p • p with k n = 3 × 10 −18 cm 2 and k p = 6 × 10 −18 cm 2 for the passive layers [20] and k n = 6 × 10 −18 cm 2 and k p = 14 × 10 −18 cm 2 for the QWs [21]. The Auger recombination is calculated by R aug = C p • n • p 2 by assuming that the CHHS Auger process dominates [22].…”

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“…However, the most common way to obtain results over a large range of a parameter's values is through a parameter sweep method. This bruteforce method is ineffective in most cases where the user only requires the end optimized 1 Code and additional results at https://github.com/gcunhase/GeneticAlgorithm-SolarCells device structure. Genetic algorithm (GA) is an optimization algorithm in artificial intelligence based on Darwin's evolution and natural selection theory, in which the fittest outcome survives [10,11].…”

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