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High‐Throughput Multiparametric Screening of Solution Processed Bulk Heterojunction Solar Cells
Advanced Electronic Materials ( IF 6.2 ) Pub Date : 2018-02-12 , DOI: 10.1002/aelm.201700477
Antonio Sánchez-Díaz 1 , Xabier Rodríguez-Martínez 1 , Laura Córcoles-Guija 1 , Germán Mora-Martín 1 , Mariano Campoy-Quiles 1
Affiliation  

One of the major bottlenecks in the development of organic photovoltaics is the time needed to evaluate each material system. This time ranges from weeks to months if different variables such as blend composition, thickness, annealing, and additives are to be explored. In this study, the use of lateral gradients is proposed in order to evaluate the photovoltaic potential of a material system up to 50 times faster. A platform that combines blade coating using controllable velocity profiles (thickness gradients) with multichannel dispensers (composition gradients) and controlled lateral annealing variations (nanostructure gradients) is introduced. These samples are then analyzed using photocurrent and Raman imaging in order to correlate one to one the device performance, thickness, composition, and annealing temperature. The strength of the developed technology is shown by optimizing three different systems, namely PCDTBT:PC70BM, PTB7‐Th:PC70BM, and PffBT4T‐2OD:PC70BM, obtaining efficiencies ≈5%, 8%, and 9.5%, respectively, using less than 10 mg of each polymer in the process.

中文翻译:

固溶异质结太阳能电池的高通量多参数筛选

开发有机光伏产品的主要瓶颈之一是评估每种材料系统所需的时间。如果要探索不同的变量(例如共混物组成,厚度,退火和添加剂),则此时间范围从数周到数月不等。在这项研究中,建议使用横向梯度,以便评估材料系统的光伏电势,速度最高可提高50倍。引入了一个平台,该平台结合了使用可控制的速度曲线(厚度梯度)和多通道分配器(成分梯度)和受控的横向退火变化(纳米结构梯度)来进行叶片涂覆的功能。然后使用光电流和拉曼成像分析这些样品,以使器件性能,厚度,成分和退火温度一对一关联。
更新日期:2018-02-12
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