journal article·2022-07Open access

Time‐Resolved Orientation and Phase Analysis of Lead Halide Perovskite Film Annealing Probed by In Situ GIWAXS

Manuel A. Reus, Lennart K. Reb, Alexander F. Weinzierl, Christian L. Weindl, Renjun Guo, Tianxiao Xiao, Matthias Schwartzkopf, Andrei Chumakov, Stephan V. Roth, Peter Müller‐Buschbaum

Advanced Optical Materials· Volume 10· Issue 14

Abstract

Abstract Scalable thin‐film deposition methods are increasingly important for hybrid lead halide perovskite thin films. Understanding the structure evolution during non‐equilibrium processes helps to find suitable materials and processing parameters to produce films with well‐performing optoelectronic properties. Here, spin‐cast and slot‐die coated bilayers of lead iodide (PbI2) and methylammonium iodide (MAI) are investigated by in situ grazing‐incidence wide‐angle X‐ray scattering during the thermal annealing process, which converts the bilayer into methylammonium lead iodide (MAPI). Photoluminescence (PL) and UV/Vis measurements show increasing crystallinity during the annealing process and a slight PL red‐shift of the spin‐cast film, attributed to crystallite coalescence that is not prominent for the slot‐die coated film. The disintegration of the solvent‐precursor complex (MA)2(Pb3I8) ⋅ 2 DMSO and conversion into perovskite are followed in situ and differences in the morphology and time evolution are observed. In both, spin‐cast and slot‐die coated thin‐films, the isotropic orientation is dominant, however, in the slot‐die coated films, the perovskite crystallites have an additional face‐on orientation ((110) parallel to substrate) that is not detected in spin‐cast films. An Avrami model is applied for the perovskite crystal growth that indicates reduced dimensionality of the growth for the printed thin films.
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Research context

OpenAlex topics: Perovskite Materials and Applications · Quantum Dots Synthesis And Properties · Chalcogenide Semiconductor Thin Films

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Lehrstuhl für Funktionelle Materialien Physik‐Department Technische Universität München James‐Franck‐Str 1 Garching 85748 Germany

MiNaXS PETRA III Deutsches Elektronen‐Synchrotron (DESY) Notkestr. 85 Hamburg 22607 Germany

Heinz Maier‐Leibnitz‐Zentrum (MLZ) Technische Universität München Lichtenbergstr. 1 Garching 85748 Germany

Funding

Deutsche Forschungsgemeinschaft · China Scholarship Council

References (81)

Show source-provided references
1. 10.1021/ja809598r10.1021/ja809598r ↗
2. 10.1038/nnano.2015.9010.1038/nnano.2015.90 ↗
3. 10.1016/j.mattod.2014.07.00710.1016/j.mattod.2014.07.007 ↗
4. 10.1021/jacs.9b0842410.1021/jacs.9b08424 ↗
5. 10.1002/pip.344410.1002/pip.3444 ↗
6. 10.1038/s41586-018-0575-310.1038/s41586-018-0575-3 ↗
7. 10.1038/s41578-021-00280-510.1038/s41578-021-00280-5 ↗
8. 10.1002/aenm.20170026710.1002/aenm.201700267 ↗
9. 10.1515/nanoph-2020-063210.1515/nanoph-2020-0632 ↗
10. 10.1002/smtd.20190066210.1002/smtd.201900662 ↗
11. 10.1021/acs.jpclett.1c0210510.1021/acs.jpclett.1c02105 ↗
12. 10.1039/C9CS00598F10.1039/C9CS00598F ↗
13. 10.1002/adfm.20200862110.1002/adfm.202008621 ↗
14. 10.1093/nsr/nwab07510.1093/nsr/nwab075 ↗
15. 10.1021/acsami.0c1089810.1021/acsami.0c10898 ↗
16. 10.1016/j.mtcomm.2019.10080810.1016/j.mtcomm.2019.100808 ↗
17. 10.1002/aenm.20200371210.1002/aenm.202003712 ↗
18. Panasonic Corporation Japan's NEDO and Panasonic Achieve the World's Highest Conversion Efficiency of 16.09% for Largest‐area Perovskite Solar Cell Module https://news.panasonic.com/global/press/data/2020/02/en200207-2/en200207-2.html (accessed: December2021).
19. NREL Champion Module Efficiencies https://www.nrel.gov/pv/assets/pdfs/champion-module-efficiencies.pdf (accessed: December2021).
20. 10.1063/5.003730710.1063/5.0037307 ↗
21. 10.1021/acsnano.0c0890310.1021/acsnano.0c08903 ↗
22. 10.1002/aenm.20200390710.1002/aenm.202003907 ↗
23. 10.1021/acs.jpcc.1c0235010.1021/acs.jpcc.1c02350 ↗
24. 10.1007/s00339-020-03628-w10.1007/s00339-020-03628-w ↗
25. 10.1002/anie.20190686210.1002/anie.201906862 ↗
26. 10.1038/s41560-021-00912-810.1038/s41560-021-00912-8 ↗
27. 10.1021/cm970568f10.1021/cm970568f ↗
28. 10.1021/acs.chemrev.0c0010710.1021/acs.chemrev.0c00107 ↗
29. 10.1039/C9TA12409H10.1039/C9TA12409H ↗
30. 10.1039/D0TA02043E10.1039/D0TA02043E ↗
31. 10.1002/adfm.20160565410.1002/adfm.201605654 ↗
32. 10.1063/1.489127510.1063/1.4891275 ↗
33. 10.1126/sciadv.170140210.1126/sciadv.1701402 ↗
34. 10.1038/s41467-021-25898-510.1038/s41467-021-25898-5 ↗
35. 10.1088/2515-7655/ab90d010.1088/2515-7655/ab90d0 ↗
36. 10.1002/admi.20160040310.1002/admi.201600403 ↗
37. 10.1039/C9TA07657C10.1039/C9TA07657C ↗
38. 10.1039/C8TA04120B10.1039/C8TA04120B ↗
39. 10.1002/aenm.20180071510.1002/aenm.201800715 ↗
40. 10.1002/adma.20170578610.1002/adma.201705786 ↗
41. 10.1039/C7EE01675A10.1039/C7EE01675A ↗
42. 10.1038/nmat401410.1038/nmat4014 ↗
43. 10.1039/D1EE00056J10.1039/D1EE00056J ↗
44. 10.1016/j.mtadv.2020.10006810.1016/j.mtadv.2020.100068 ↗
45. 10.1002/pen.2431710.1002/pen.24317 ↗
46. 10.1021/acs.jpclett.1c0286910.1021/acs.jpclett.1c02869 ↗
47. 10.1038/s41467-021-26753-310.1038/s41467-021-26753-3 ↗
48. 10.1002/solr.20200071810.1002/solr.202000718 ↗
49. 10.1021/acsaem.0c0262510.1021/acsaem.0c02625 ↗
50. 10.1126/sciadv.abg374910.1126/sciadv.abg3749 ↗
51. 10.1002/aenm.20170013110.1002/aenm.201700131 ↗
52. 10.1021/acs.chemrev.1c0018110.1021/acs.chemrev.1c00181 ↗
53. 10.1039/D0TA04589F10.1039/D0TA04589F ↗
54. 10.1039/D0EE01833C10.1039/D0EE01833C ↗
55. 10.1038/nature1830610.1038/nature18306 ↗
56. 10.1002/anie.20200615210.1002/anie.202006152 ↗
57. 10.1038/s41560-019-0538-410.1038/s41560-019-0538-4 ↗
58. 10.1021/acs.jpclett.8b0068710.1021/acs.jpclett.8b00687 ↗
59. 10.1002/solr.20200031510.1002/solr.202000315 ↗
60. 10.1039/C5TA00658A10.1039/C5TA00658A ↗
61. 10.1063/1.11762510.1063/1.117625 ↗
62. 10.1002/solr.20190030410.1002/solr.201900304 ↗
63. 10.1021/ja511198f10.1021/ja511198f ↗
64. 10.1039/C5NR02866C10.1039/C5NR02866C ↗
65. 10.1021/jacs.6b0492410.1021/jacs.6b04924 ↗
66. 10.1107/S0365110X6500036110.1107/S0365110X65000361 ↗
67. 10.1021/ic401215x10.1021/ic401215x ↗
68. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
69. 10.1063/1.170771510.1063/1.1707715 ↗
70. 10.1073/pnas.26.11.63710.1073/pnas.26.11.637 ↗
71. 10.1063/1.174600510.1063/1.1746005 ↗
72. 10.1021/la904840q10.1021/la904840q ↗
73. 10.1107/S002188980800106410.1107/S0021889808001064 ↗
74. 10.1016/j.cej.2021.13229510.1016/j.cej.2021.132295 ↗
75. 10.1021/jacs.5b0493010.1021/jacs.5b04930 ↗
76. 10.1021/acs.chemmater.7b0146710.1021/acs.chemmater.7b01467 ↗
77. 10.1002/solr.20200008610.1002/solr.202000086 ↗
78. 10.1107/S090904951201689510.1107/S0909049512016895 ↗
79. INSIGHT: The In‐Situ GIXS Heuristic Tool for Efficient Reduction of Grazing‐Incidence Scattering Data https://www.groups.ph.tum.de/en/functmat/research/insight/ (accessed: December2021).
80. 10.1038/nmeth.201910.1038/nmeth.2019 ↗
81. 10.1186/s12859-017-1934-z10.1186/s12859-017-1934-z ↗