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基于时间分辨电荷提取的能隙电子态谱新提取技术

New Extraction Technique of In-Gap Electronic-State Spectrum Based on Time-Resolved Charge Extraction.

作者信息

Lin Zedong

机构信息

Department of Chemistry, Renmin University of China, Beijing 100872, China.

出版信息

ACS Omega. 2020 Aug 21;5(34):21762-21767. doi: 10.1021/acsomega.0c02800. eCollection 2020 Sep 1.

Abstract

The in-gap electronic state (trap state) is an important factor that determines the photovoltaic performance of solar cells. In this article, we put forward a new technique for extracting the density of trap state (DOS) distribution based on the time-resolved charge extraction (TRCE) experiment result. Based on strict derivation, we find that when the TRCE result is linear, the extracted DOS distribution is exponential type and vice versa. Compared to the approach given by Wang et al., the method introduced in this paper is more accurate and reliable. Compared to the approach based on the space charge-limited current (SCLC) experiment result, our method needs less computation.

摘要

带隙内电子态(陷阱态)是决定太阳能电池光伏性能的一个重要因素。在本文中,我们基于时间分辨电荷提取(TRCE)实验结果,提出了一种提取陷阱态密度(DOS)分布的新技术。通过严格推导,我们发现当TRCE结果呈线性时,所提取的DOS分布为指数型,反之亦然。与Wang等人给出的方法相比,本文介绍的方法更准确、可靠。与基于空间电荷限制电流(SCLC)实验结果的方法相比,我们的方法计算量更小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70e8/7469377/368dda111294/ao0c02800_0002.jpg

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