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Cited by 369

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Performance-limiting nanoscale trap clusters at grain junctions in halide perovskites

Open access
Doherty, Tiarnan A. S., Winchester, Andrew J., Macpherson, Stuart, Johnstone, Duncan N., Pareek, Vivek, Tennyson, Elizabeth M., Kosar, Sofiia, Kosasih, Felix U., Anaya, Miguel, Abdi-Jalebi, Mojtaba, Andaji-Garmaroudi, Zahra, Wong, E Laine, Madéo, Julien, Chiang, Yu-Hsien, Park, Ji-Sang, Jung, Young-Kwang, Petoukhoff, Christopher E., Divitini, Giorgio, Man, Michael K. L., Ducati, Caterina, Walsh, Aron, Midgley, Paul A., Dani, Keshav M., Stranks, Samuel D.·2020·Nature

Abstract

Halide perovskite materials have promising performance characteristics for low-cost optoelectronic applications. Photovoltaic devices fabricated from perovskite absorbers have reached power conversion efficiencies above 25 per cent in single-junction devices and 28 per cent in tandem devices1,2. This strong performance (albeit below the practical limits of about 30 per cent and 35 per cent, respectively3) is surprising in thin films processed from solution at low-temperature, a method that generally produces abundant crystalline defects4. Although point defects often induce only shallow electronic states in the perovskite bandgap that do not affect performance5, perovskite devices still have many states deep within the bandgap that trap charge carriers and cause them to recombine non-radiatively. These deep trap states thus induce local variations in photoluminescence and limit the device performance6. The origin and distribution of these trap states are unknown, but they have been associated with light-induced halide segregation in mixed-halide perovskite compositions7 and with local strain8, both of which make devices less stable9. Here we use photoemission electron microscopy to image the trap distribution in state-of-the-art halide perovskite films. Instead of a relatively uniform distribution within regions of poor photoluminescence efficiency, we observe discrete, nanoscale trap clusters. By correlating microscopy measurements with scanning electron analytical techniques, we find that these trap clusters appear at the interfaces between crystallographically and compositionally distinct entities. Finally, by generating time-resolved photoemission sequences of the photo-excited carrier trapping process10,11, we reveal a hole-trapping character with the kinetics limited by diffusion of holes to the local trap clusters. Our approach shows that managing structure and composition on the nanoscale will be essential for optimal performance of halide perovskite devices. Photoemission electron microscopy images of trap states in halide peroskites, spatially correlated with their structural and compositional factors, may help in managing power losses in optoelectronic applications.

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Metadata

Authors
Doherty, T. A. S., Winchester, A. J., Macpherson, S., Johnstone, D. N., Pareek, V., Tennyson, E. M., Kosar, S., Kosasih, F. U., Anaya, M., Abdi-Jalebi, M., Andaji-Garmaroudi, Z., Wong, E. L., Madéo, J., Chiang, Y.-H., Park, J.-S., Jung, Y.-K., Petoukhoff, C. E., Divitini, G., Man, M. K. L., Ducati, C., Walsh, A., Midgley, P. A., Dani, K. M., & Stranks, S. D.
Venue
Nature
Published
2020-04-15
Volume
580
Issue
7803
Pages
360-366
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3016443946
Cited by
369
References
38
FWCI
20.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Performance-limiting nanoscale trap clusters at grain junctions in halide perovskites. https://app.cochat.ai/papers/10.1038/s41586-020-2184-1
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Doherty, T. A. S., Winchester, A. J., Macpherson, S., Johnstone, D. N., Pareek, V., Tennyson, E. M., Kosar, S., Kosasih, F. U., Anaya, M., Abdi-Jalebi, M., Andaji-Garmaroudi, Z., Wong, E. L., Madéo, J., Chiang, Y.-H., Park, J.-S., Jung, Y.-K., Petoukhoff, C. E., Divitini, G., Man, M. K. L., . . . Stranks, S. D. (2020). Performance-limiting nanoscale trap clusters at grain junctions in halide perovskites. Nature. https://doi.org/10.1038/s41586-020-2184-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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