Modelling Cross-section Current Collection in Cu-Doped CdTe using PyCDTS

Niranjan Kumar, T. Walker, T. Nietzold, M. Stuckelberger, E. Colegrove, B. Lai, A. R. Shaik, M. Bertoni
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Abstract

Copper is a traditional dopant for many types of polycrystalline thin-film CdTe photovoltaic devices. However, Cu can easily distribute through the depth and breadth of the device, segregating at interfaces or grain boundaries and leading to metastability of the device. Directly correlating Cu-related defect species to the local (i.e. nanoscale) charge transport in CdTe devices remains challenging due to relatively low Cu concentrations in the CdTe layer. Using nanoscale X-ray microscopy, we simultaneously probe both the elemental copper distribution and electrical performance of the device in cross-section. Complementary charge transport modelling delineates the possible defect distributions that can exist under low and high Cu loading, and how these defects interact with charge carriers at different depths of the device.
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利用PyCDTS模拟cu掺杂CdTe的截面电流收集
铜是许多类型的多晶薄膜碲化镉光伏器件的传统掺杂剂。然而,Cu可以很容易地分布在器件的深度和宽度上,在界面或晶界处偏析,导致器件的亚稳态。由于CdTe层中Cu浓度相对较低,直接将Cu相关缺陷物种与CdTe器件中的局部(即纳米级)电荷传输联系起来仍然具有挑战性。利用纳米x射线显微镜,我们在截面上同时探测了元素铜的分布和器件的电性能。互补电荷输运模型描述了在低和高Cu负载下可能存在的缺陷分布,以及这些缺陷如何与器件不同深度的载流子相互作用。
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