ArticleScientific reports2025
Optimization of absorption coefficient of quantum dot structures for infrared spectroscopy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Infrared spectroscopy is a powerful tool used in chemical analysis and identification, material and polymer characteristics, pharmaceuticals and medical diagnostics, food industry, and environmental applications. Quantum Dots have shown significant potential as a top candidate for infrared photodetection of the transmitted and absorbed frequencies which is one of the main processes in IR spectroscopy. Therefore, the demand for accurate optimization techniques for enhanced detection is critically needed. In this work, we have developed an optimization study of the optical absorption coefficient of InAs/GaAs self-assembled quantum dots for IR photodetection specially in fingerprint region, where the Bound-to-bound absorption coefficient calculations are based on the bounded states estimation using the effective mass Hamiltonian diagonalization. Then, optimization has been performed which is based on the Nelder-Mead simplex algorithm where the objective function is maximizing the optical absorption coefficient at certain wavenumbers of interest of 600 and 800 cm
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