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arXiv 1603.01552cond-mat.mtrl-sci
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固态薄膜沉积的随机模型:在黄铜矿生长中的应用

A stochastic model of solid state thin film deposition: application to chalcopyrite growth

Robert J. Lovelett, Xueqi Pang, Tyler M. Roberts, William N. Shafarman, Robert W. Birkmire, Babatunde A. Ogunnaike

摘要:

开发固态反应系统的高保真定量模型可能具有挑战性,特别是在沉积系统中,除了同时发生的多个竞争过程之外,固体与其气氛相互作用。在这项工作中,我们开发了一个模型,从大气中的物种吸附,扩散,并与薄膜的固体薄膜的生长。该模型是中尺度的,并描述了一个完整的膜厚度的数量级微米。因为它是随机的,该模型使我们能够检查不均匀性和凝聚,这将是不可能的确定性方法的特点。我们演示的建模方法与黄铜矿Cu(InGa)(SeS)$_2$薄膜生长通过前体反应,这是一种常见的工业方法制造薄膜光伏组件的例子。该模型是用来了解如何以及为什么通过膜的Cu(InGa)(SeS)$_2$薄膜的组成变化出现和持续。我们相信,该模型将是有价值的,作为一个有效的定量描述的许多其他材料系统中使用的半导体,能源存储和其他快速增长的行业。

英文摘要:

Developing high fidelity quantitative models of solid state reaction systems can be challenging, especially in deposition systems where, in addition to the multiple competing processes occurring simultaneously, the solid interacts with its atmosphere. In this work, we develop a model for the growth of a thin solid film where species from the atmosphere adsorb, diffuse, and react with the film. The model is mesoscale and describes an entire film with thickness on the order of microns. Because it is stochastic, the model allows us to examine inhomogeneities and agglomerations that would be impossible to characterize with deterministic methods. We demonstrate the modeling approach with the example of chalcopyrite Cu(InGa)(SeS)$_2$ thin film growth via precursor reaction, which is a common industrial method for fabricating thin film photovoltaic modules. The model is used to understand how and why through-film variation in the composition of Cu(InGa)(SeS)$_2$ thin films arises and persists. We believe that the model will be valuable as an effective quantitative description of many other materials systems used in semiconductors, energy storage, and other fast-growing industries.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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