Soft-computing-based approaches to study and model the semiconductor devices
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Date
2023
Authors
MAOUCHA Abdelhak
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Publisher
University of Batna 2
Abstract
Semiconductor modeling and optimization play a crucial role in dealing with semiconductor devices, as they are used to simulate their performances under various operating conditions. This dissertation focuses on improving the performance of semiconductor-based devices, specifically thin-film solar cells. It discusses the use of analytical and numerical modeling techniques, including soft-computing-based optimization algorithms, to boost the performance of these devices. First, a comprehensive overview of the different equations that govern the physical behavior of semiconductors and the use of analytical and numerical modeling techniques in semiconductor device design will be provided, where the advantages and limitations of
both techniques and their potential applications in optimizing device performance will be discussed. Finally a detailed review of metaheuristic-based optimization techniques
and their potential application in semiconductor device optimization is provided. Next, a novel modeling framework for the design and optimization of copper indium gallium
selenide (CIGS)-based thin-film solar cells using a hybrid GBG-PSO-approach is proposed. Moreover the development of new analytical models and the use of numerical
simulations to confirm the accuracy of the results is discussed. The chapter also explores the use of non-toxic elements, such as ZnMgO, instead of conventional toxic materials like CdS, to improve solar cell performance. The proposed methodology results in a 31.88% relative improvement in solar cell performance compared to conventional designs. Then, a high-efficiency lead-free perovskite solar cell design based on the optimization of double-absorber material and charge carrier transport layers is proposed, using of eco-friendly and stable lead-free materials. The effect of different hole and electron transport layer materials on double-layered perovskite solar cell performance is investigated. The proposed design methodology leads to a highperforming lead-free perovskite solar cell with a power conversion efficiency of 33.57%. Thereafter, a new design methodology for thin-film tandem solar cells made up
of a lead-free perovskite-based top sub-cell and a CZTSSe-based bottom sub-cell is proposed. The chapter discusses the use of numerical simulations to optimize interfaces
between the electron and hole transport layers, introducing a graded band-gap profile, a back surface field (BSF) layer, and a non-toxic buffer layer (ZnSe) to improve the
performance of the tandem cell. The proposed design methodology leads to a highperforming tandem solar cell with a PCE of 28.42%.