A stochastic model for Cu(InGa)(SeS)2 absorber growth during selenization/sulfization

Robert J. Lovelett, W. Shafarman, R. Birkmire, B. Ogunnaike
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Abstract

The optical and electronic properties of Cu(InGa)(SeS)2 absorbers are functions of the gallium and sulfur fractions, defined as the mole fractions Ga/(In+Ga) and S/(Se+S). During absorber growth, through-film composition gradients arise, and these gradients affect the photovoltaic performance of the solar cell. However, there has been little effort in quantitative prediction of the through-film composition. In this work, we present a stochastic model to simulate film growth during selenization and sulfization processes. Our goal is to predict the through-film composition of a Cu(InGa)(SeS)2 absorber film, especially the gallium and sulfur gradients. Our model can predict the steep gradient in gallium that is observed during the selenization reaction and the gallium homogenization that occurs with the sulfurization reaction. Although the model requires a large number of parameters, we show how they can be estimated from simplifying assumptions and related to physical properties. We believe that this method is the first attempt to model explicitly the through-film composition of a Cu(InGa)(SeS)2 produced via selenization.
硒化/硫化过程中Cu(InGa)(SeS)2吸收剂生长的随机模型
Cu(InGa)(SeS)2吸收剂的光学和电子性质是镓和硫组分的函数,定义为摩尔分数Ga/(In+Ga)和S/(Se+S)。在吸收剂生长过程中,会产生穿过薄膜的成分梯度,这些梯度会影响太阳能电池的光伏性能。然而,对透膜成分的定量预测却很少。在这项工作中,我们提出了一个随机模型来模拟硒化和硫化过程中的薄膜生长。我们的目标是预测Cu(InGa)(SeS)2吸收膜的透膜组成,特别是镓和硫的梯度。我们的模型可以预测硒化反应中镓的陡峭梯度和硫化反应中镓的均匀化。尽管该模型需要大量参数,但我们展示了如何通过简化假设并与物理性质相关来估计它们。我们认为这种方法是第一次尝试明确地模拟通过硒化产生的Cu(InGa)(SeS)2的透膜组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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