钙钛矿(结构)
材料科学
能量转换效率
光伏
磁滞
相对湿度
光电子学
钙钛矿太阳能电池
湿度
光伏系统
太阳能电池
薄膜
纳米技术
化学工程
电气工程
凝聚态物理
工程类
物理
热力学
作者
Gautam Gupta,Hsinhan Tsai,Wanyi Nie,Jean-Christophe Blancon,Constantinos C. Stoumpos,Mercouri G. Kanatzidis,Aditya D. Mohite,Pulickel M. Ajayan
出处
期刊:Meeting abstracts
日期:2016-09-01
卷期号:MA2016-02 (15): 1432-1432
被引量:1
标识
DOI:10.1149/ma2016-02/15/1432
摘要
Three-dimensional organic-inorganic perovskites have emerged as one of the most promising thin-film solar cell materials due to their remarkable photophysical properties that have led to power conversion efficiencies exceeding 22%, with the prospect of further improvements towards Shockley-Queisser limit for a single‐junction solar cell (~33.5%). Alongside efficiency, a critical factor for photovoltaics and other optoelectronic applications is environmental and photostability under operating conditions. In contrast to their 3D counterparts, Ruddlesden-Popper phases, layered two-dimensional (2D) perovskite films, have shown promising stability, but poor efficiency at only 4.73%. This is attributed to the inhibition of out-of-plane charge transport by organic cations, which act like insulating spacing layers between the conducting inorganic components. Here we overcome this fundamental issue in layered perovskites by producing near single-crystalline quality thin-films with a strongly preferential out-of-plane alignment of the inorganic perovskite component to facilitate efficient charge transport. We report a photovoltaic efficiency of 12.5 % with no hysteresis, and devices that exhibit greatly improved stability in comparison to their 3D counterparts when subjected to aggressive stress tests of light, humidity and heat. Unencapsulated 2D perovskite devices retain over 70% of their efficiency for over 2000 hours under constant 1 Sun illumination, and exhibit greater tolerance to 65% relative humidity than 3D equivalents. When the devices are encapsulated, the layered devices do not show any degradation under constant 1 Sun illumination or humidity.
科研通智能强力驱动
Strongly Powered by AbleSci AI