@article {6758,
	title = {Metaheuristic-based decision maker framework for the development of multispectral IGZO thin-film phototransistors},
	journal = {Journal of Science: Advanced Materials and Devices},
	volume = {7},
	number = {1},
	year = {2022},
	abstract = {
	A new multispectral InGaZnO (IGZO) thin-film phototransistor (TF PT) based on a graded band-gap (GBG) SiGe capping layer with\&nbsp;metallic nanoparticles\&nbsp;(MNPs) is proposed. An accurate drain-current model is developed to investigate the device performances, where the optical characteristics under different light excitations (530\&nbsp;nm, 820\&nbsp;nm, and 1550\&nbsp;nm) are analyzed using the 3-D Finite-difference time-domain method (FDTD). It is found that the proposed device shows high photoresponse characteristics. Besides, it is revealed that the GBG configuration, MNPs spatial distribution and size can induce a complex behavior, which influences the device photoresponse over multiple spectral bands. Importantly, an iterative decision-maker framework based on the Multi-Objective Genetic Algorithm (MOGA) metaheuristic approach is implemented to design efficient multispectral IGZO TF PT. It is demonstrated that the proposed MOGA-based scheme paves the way for the designer to identify the appropriate GBG profile and MNPs spatial distribution for highly-responsive devices at selective Visible and IR wavelengths and to realize high-performance multispectral sensors. The proposed approach based on combining the proposed IGZO TF PT structure with MOGA metaheuristic computation opens up a new strategy for the design and experimental fabrication of high-performance multispectral optoelectronic devices.

},
	url = {https://www.sciencedirect.com/science/article/pii/S2468217921000964},
	author = {Hichem Ferhati and Fay{\c c}al Djeffal and Drissi, Lalla Btissam}
}
