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通过全自动旋涂和猝灭实现可重复的钙钛矿太阳能电池。

Repeatable Perovskite Solar Cells through Fully Automated Spin-Coating and Quenching.

作者信息

Baumann Daniel O, Laufer Felix, Roger Julie, Singh Roja, Gholipoor Mohammad, Paetzold Ulrich W

机构信息

Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, 76344 Eggenstein-Leopoldshafen, Germany.

Light Technology Institute (LTI), Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.

出版信息

ACS Appl Mater Interfaces. 2024 Oct 9;16(40):54007-54016. doi: 10.1021/acsami.4c13024. Epub 2024 Sep 30.

DOI:10.1021/acsami.4c13024
PMID:39348448
Abstract

Enhancing reproducibility, repeatability, as well as facilitating transferability between laboratories will accelerate the progress in many material domains, wherein perovskite-based optoelectronics are a prime use case. This study presents fully automated perovskite thin film processing using a commercial spin-coating robot in an inert atmosphere. We successfully apply this novel processing method to antisolvent quenching. This process is typically difficult to reproduce and transfer and is now enhanced to exceptional repeatability in comparison to manual processing. Champion perovskite solar cells demonstrate power conversion efficiencies as high as 19.9%, proving the transferability of established manual spin-coating processes to automatic setups. Comparison with human experts reveals that the performance is already on par, while automated processing yields improved homogeneity across the substrate surface. This work demonstrates that fully automated perovskite thin film processing improves repeatability. Such systems bear the potential to become a foundation for autonomous optimization and greatly improve transferability between laboratories.

摘要

提高可重复性、再现性以及促进实验室之间的可转移性将加速许多材料领域的进展,其中基于钙钛矿的光电子学就是一个典型的应用案例。本研究展示了在惰性气氛中使用商用旋涂机器人进行全自动化钙钛矿薄膜加工。我们成功地将这种新颖的加工方法应用于反溶剂猝灭。这个过程通常难以再现和转移,而现在与手动加工相比,其再现性得到了显著提高。冠军钙钛矿太阳能电池展示出高达19.9%的功率转换效率,证明了既定的手动旋涂工艺可转移到自动装置。与人类专家的比较表明,性能已经相当,而自动化加工在整个基板表面产生了更好的均匀性。这项工作表明全自动化钙钛矿薄膜加工提高了可重复性。这样的系统有潜力成为自主优化的基础,并极大地提高实验室之间的可转移性。

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