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Photovoltage Tomography in Polycrystalline Solar Cells

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Department of Materials Science and Engineering, Institute for Research in Electronics and Applied Physics, Department of Electrical and Computer Engineering, and #Department of Aerospace Engineering, University of Maryland, College Park, Maryland 20742, United States
§ U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
University Research Foundation, Greenbelt, Maryland 20770, United States
Cite this: ACS Energy Lett. 2016, 1, 5, 899–905
Publication Date (Web):September 27, 2016
https://doi.org/10.1021/acsenergylett.6b00331
Copyright © 2016 American Chemical Society
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Abstract

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To date, the performance of all polycrystalline photovoltaics is limited by their open-circuit voltage (Voc), an indicator of charge carrier recombination within the semiconductor layer. Thus, the successful implementation of high-efficiency and low-cost solar cells requires the control and suppression of nonradiative recombination centers within the material. Here, we spectrally and spatially resolve the photovoltage of polycrystalline thin-film Cu(In,Ga)Se2 (CIGS) solar cells. Micro-Raman and energy-dispersive X-ray spectroscopy maps obtained on the same grains showed that the chemical composition of the CIGS layer is very uniform. Surprisingly, we observed concurrent spatial variations in the photovoltage generated across the device, strongly indicating that structural properties are likely responsible for the nonuniform mesoscale behavior reported here. We build a tomography of the photovoltage response at 1 sun global illumination, mimicking the operation conditions of solar cells. Furthermore, we spatially resolve the voltage within the CIGS grains, where we found variations >20%. Our functional characterization could be realized to identify where nonradiative recombination preferentially takes place, enabling the implementation of nonuniform materials for future devices with higher Voc.

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The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acsenergylett.6b00331.

  • Experimental methods, schematic of experimental setup for photovoltage images, additional micro-Raman and photovoltage scans, and comparison between “as-is” and polished CIGS samples (PDF)

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Cited By


This article is cited by 8 publications.

  1. Elizabeth M. Tennyson, John M. Howard, Bart Roose, Joseph L. Garrett, Jeremy N. Munday, Antonio Abate, Marina S. Leite. The Effects of Incident Photon Energy on the Time-Dependent Voltage Response of Lead Halide Perovskites. Chemistry of Materials 2019, 31 (21) , 8969-8976. https://doi.org/10.1021/acs.chemmater.9b03089
  2. Benjamin J. Foley, Shelby Cuthriell, Sina Yazdi, Alexander Z. Chen, Stephanie M. Guthrie, Xiaoyu Deng, Gaurav Giri, Seung-Hun Lee, Kai Xiao, Benjamin Doughty, Ying-Zhong Ma, Joshua J. Choi. Impact of Crystallographic Orientation Disorders on Electronic Heterogeneities in Metal Halide Perovskite Thin Films. Nano Letters 2018, 18 (10) , 6271-6278. https://doi.org/10.1021/acs.nanolett.8b02417
  3. Elizabeth M. Tennyson, John M. Howard, and Marina S. Leite . Mesoscale Functional Imaging of Materials for Photovoltaics. ACS Energy Letters 2017, 2 (8) , 1825-1834. https://doi.org/10.1021/acsenergylett.7b00382
  4. Joseph L. Garrett, Elizabeth M. Tennyson, Miao Hu, Jinsong Huang, Jeremy N. Munday, and Marina S. Leite . Real-Time Nanoscale Open-Circuit Voltage Dynamics of Perovskite Solar Cells. Nano Letters 2017, 17 (4) , 2554-2560. https://doi.org/10.1021/acs.nanolett.7b00289
  5. Jingfeng Song, Yuanyuan Zhou, Nitin P. Padture, Bryan D. Huey. Anomalous 3D nanoscale photoconduction in hybrid perovskite semiconductors revealed by tomographic atomic force microscopy. Nature Communications 2020, 11 (1) https://doi.org/10.1038/s41467-020-17012-y
  6. Bryan D. Huey, Justin Luria, Dawn A. Bonnell. Scanning Probe Microscopy in Materials Science. 2019,,, 1239-1277. https://doi.org/10.1007/978-3-030-00069-1_25
  7. Marina S. Leite. New Microscopic Methods for the Functional Imaging of Energy Materials at the Nanoscale. Microscopy and Microanalysis 2018, 24 (S1) , 1950-1951. https://doi.org/10.1017/S1431927618010231
  8. Scott R. Johnston, Eric Yue Ma, Zhi-Xun Shen. Optically coupled methods for microwave impedance microscopy. Review of Scientific Instruments 2018, 89 (4) , 043703. https://doi.org/10.1063/1.5011391

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