钙钛矿(结构)
堆栈(抽象数据类型)
毫米
材料科学
航程(航空)
光致发光
比例(比率)
计算机科学
光电子学
纳米技术
化学
物理
结晶学
光学
量子力学
复合材料
程序设计语言
作者
Akash Dasgupta,Suhas Mahesh,Pietro Caprioglio,Yen‐Hung Lin,Karl‐Augustin Zaininger,Robert D. J. Oliver,Philippe Holzhey,Suer Zhou,M. McCarthy,Joel A. Smith,Maximilian Frenzel,M. Greyson Christoforo,James M. Ball,Bernard Wenger,Henry J. Snaith
出处
期刊:ACS energy letters
[American Chemical Society]
日期:2022-06-16
卷期号:7 (7): 2311-2322
被引量:20
标识
DOI:10.1021/acsenergylett.2c01094
摘要
Despite the incredible progress made, the highest efficiency perovskite solar cells are still restricted to small areas (<1 cm2). In large part, this stems from a poor understanding of the widespread spatial heterogeneity in devices. Conventional techniques to assess heterogeneities can be time consuming, operate only at microscopic length scales, and demand specialized equipment. We overcome these limitations by using luminescence imaging to reveal large, millimeter-scale heterogeneities in the inferred electronic properties. We determine spatially resolved maps of “charge collection quality”, measured using the ratio of photoluminescence intensity at open and short circuit. We apply these methods to quantify the inhomogeneities introduced by a wide range of transport layers, thereby ranking them by suitability for upscaling. We reveal that top-contacting transport layers are the dominant source of heterogeneity in the multilayer material stack. We suggest that this methodology can be used to accelerate the development of highly efficient, large-area modules, especially through high-throughput experimentation.
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