常用的三苯胺染料对高效染料敏化太阳能电池的共吸附效果

IF 3.2 3区 化学 Q2 CHEMISTRY, PHYSICAL
Chinmai Mysorekar, , , Adam Glinka, , and , Marcin Ziółek, 
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引用次数: 0

摘要

本文利用固定光谱和时间分辨光谱技术,研究了最近在铜基电解液中高效染料敏化太阳能电池(DSSCs)中使用的两种编码XY1b和L1的三苯胺染料。重点研究了它们的共敏效果以及添加鹅去氧胆酸(CDCA)作为共吸附物的效果。在这两种染料中加入CDCA以及在XY1b中加入L1,细胞的填充因子得到了预期的改善。然而,在这两种情况下,另一种化合物的加入导致了器件相对光电流的惊人下降。飞秒瞬态吸收(TA)技术应用于完整电池,揭示了光电流降低的原因是无用电荷复合的贡献增加。此外,热传递研究可以确定所有研究系统的电荷转移速率常数。特别是在与XY1b的混合物中,L1染料的激发态寿命和氧化L1的寿命都缩短了。这有力地证实了由较小带隙染料(XY1b)介导的较宽带隙染料(L1)的电子注入和染料再生的显著效果。在所研究的共敏体系中观察到的另一个重要发现与Stark移位效应有关:随着固定染料吸光度的减少,其对TA动力学的贡献显著减少,并且最近报道的“co-Stark移位效应”得到了证实。最后,光伏数据被用来训练一种深度学习算法,该算法随后预测了制备DSSC的意外最佳共敏比,该算法优于之前的作品。这是向数据驱动的共敏系统优化迈出的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unexpected Effects of Co-adsorption in the Popular Triphenylamine Dyes for Efficient Dye-Sensitized Solar Cells

In this work, two triphenylamine dyes coded XY1b and L1 and used recently in many highly efficient dye-sensitized solar cells (DSSCs) with copper-based electrolyte were studied using stationary and time-resolved spectroscopic techniques. The main focus was put on the effect of their cosensitization as well as adding chenodeoxycholic acid (CDCA) as coadsorbate. Adding CDCA to both dyes as well as L1 to XY1b resulted in an expected improvement in fill factor of the cells. However, in both cases, the addition of another compound caused a surprising decrease of the relative photocurrent of the device. Femtosecond transient absorption (TA) technique applied to the complete cells revealed that the reason for such photocurrent lowering is the increased contribution of unwanted charge recombination. Moreover, TA studies enabled determination of charge transfer rate constants for all studied systems. In particular, it was observed that the lifetimes of excited state of L1 dyes as well as the lifetimes of the oxidized L1 are shortened in the mixtures with XY1b. This is a strong confirmation of the remarkable effects of electron injection and dye regeneration of the wider bandgap dye (L1) mediated by the smaller bandgap one (XY1b). Another important finding observed in the studied cosensitized systems were related to the Stark shift effect: a noteworthy decrease of its contribution in TA dynamics with less stationary dye absorbance was revealed as well as the recently reported “co-Stark shift effect” was confirmed. Finally, the photovoltaic data were used to train a deep learning algorithm which subsequently predicted unexpected best cosensitization ratio for preparation of DSSC, which outperformed the previous entries. This is a significant step toward data-driven optimization of cosensitized systems.

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来源期刊
The Journal of Physical Chemistry C
The Journal of Physical Chemistry C 化学-材料科学:综合
CiteScore
6.50
自引率
8.10%
发文量
2047
审稿时长
1.8 months
期刊介绍: The Journal of Physical Chemistry A/B/C is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, and chemical physicists.
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