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Development of an intelligent design tool for non-stoichiometric compound devices: an example

机译:用于非化学计量化合物的智能设计工具的开发:一个例子

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In this paper, we discuss the idea of intelligent design of thin film CIGS solar cell, and we focus on the methodology of material design. We first introduce the calculation of the neutral defect concentrations of non-stoichiometric CuInSe_2, CuGaSe_2 and ZnO under specific atomic chemical potential conditions, and predict the formation of the order defect compound using the concept of minimization of total free energy, which includes the configurational entropy. This calculation is the main procedure in the material design and the key to the device design and process design. We then calculate the carrier concentrations using multi-level defect statistics and mobilities of these materials of different constitutions. The functions of the intelligent design tool are demonstrated.
机译:在本文中,我们讨论了CIGS薄膜太阳能电池智能设计的思想,并且我们将重点放在材料设计的方法上。我们首先介绍了在特定原子化学势条件下非化学计量的CuInSe_2,CuGaSe_2和ZnO的中性缺陷浓度的计算,并使用总自由能最小化的概念(包括构型熵)预测了有序缺陷化合物的形成。 。该计算是材料设计中的主要步骤,也是设备设计和过程设计的关键。然后,我们使用多级缺陷统计数据和这些不同构成材料的迁移率来计算载流子浓度。演示了智能设计工具的功能。

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