4.7 Article

Correlative In Situ Multichannel Imaging for Large-Area Monitoring of Morphology Formation in Solution-Processed Perovskite Layers

期刊

SOLAR RRL
卷 6, 期 3, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/solr.202100353

关键词

correlative imaging; in situ; large-area; monitoring; perovskites; photoluminescence

资金

  1. German Federal Ministry of Education and Research (PRINTPERO) [03SF0557A]
  2. Helmholtz Association (HYIG) [VH-NG1148]
  3. Helmholtz Energy Materials Foundry (HEMF)
  4. PEROSEED [ZT-0024]
  5. Research Field Energy-Program Materials and Technologies for the Energy Transition-Topic 1 Photovoltaics
  6. Karlsruhe School of Optics & Photonics (KSOP)
  7. Projekt DEAL
  8. Recruitment Initiative of B.S.R.

向作者/读者索取更多资源

This study demonstrates the use of in situ multichannel imaging (IMI) for real-time monitoring and feedback control in the large-scale production of perovskite photovoltaics. IMI can detect characteristic changes in perovskite formation dynamics and coating inhomogeneities, making it valuable for industrial-scale fabrication processes such as roll-to-roll printing.
To scale up production of perovskite photovoltaics, state-of-the-art laboratory recipes and processes must be transferred to large-area coating and drying systems. The development of in situ monitoring methods that provide real-time feedback for process control is pivotal to overcome this challenge. Herein, correlative in situ multichannel imaging (IMI) obtaining reflectance, photoluminescence intensity, and central photoluminescence emission wavelength images on areas larger than 100 cm2 with subsecond temporal resolution using a simple, cost-effective setup is demonstrated. Installed on top of a drying channel with controllable laminar air flow and substrate temperature, IMI is shown to consistently monitor solution film drying, perovskite nucleation, and perovskite crystallization. If the processing parameters differ, IMI reveals characteristic changes in large-area perovskite formation dynamics already before the final annealing step. Moreover, when IMI is used to study >130 blade-coated devices processed at the same parameters, about 90% of low-performing devices contain coating inhomogeneities detected by IMI. The results demonstrate that IMI should be of value for real-time 2D monitoring and feedback control in industrial-scale, high-throughput fabrication such as roll-to-roll printing.

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