High-Throughput Characterization of Perovskite Solar Cells for Rapid Combinatorial Screening

Maciej Adam Surmiak, Tian Zhang, Jianfeng Lu, Kevin James Rietwyk, Sonia Ruiz Raga, David Patrick McMeekin, Udo Bach

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

To discover the ideal perovskite material for solar cell application, a large parameter space (composition, surrounding condition, fabrication technique, etc.) must first be explored. Therefore, screening this parameter space using a rapid combinatorial screening approach can drastically speed up the rate of discovery. During the last decade, these discoveries and optimization processes of perovskite materials have been achieved using simple lab-scale deposition techniques and characterization methods, resulting in a substantial time-consuming process, slowing the rate of progress in the field of photovoltaics. Thus, the benefits of developing fully automated, high-throughput characterization techniques become apparent. Herein, a high-throughput solar cell testing system that enables parallel, real-time, and comprehensive measurements is detailed, allowing for 16 solar cells to be characterized simultaneously. The importance of measurement reproducibility, condition verification, and structured data postprocessing is shown.

Original languageEnglish
Article number2000097
JournalSolar RRL
Volume4
Issue number7
DOIs
StatePublished - 1 Jul 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Keywords

  • characterization
  • high-throughput
  • perovskite solar cells

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