Sequential Evaporation of Inverted FAPbI3 Perovskite Solar Cells – Impact of Substrate on Crystallization and Film Formation
Source abstract
Abstract
Recent advances in sequential evaporation of perovskite solar cells (PSCs) have culminated in a rapid increase in reported power conversion efficiencies (PCEs), now on par with those of the best solution-processed counterparts. This development triggered vast interest from industry and academics. To date, however, very few studies addressed sequentially evaporated PSCs in the p-i-n architecture, and an in-depth process understanding is lacking. Here, we investigate the impact of the hole transport layer (HTL) on the formation of formamidinium lead triiodide (FAPI) perovskite thin films fabricated via an evaporated two-step process. We find that the crystal orientation of lead iodide (PbI 2 ) changes significantly for different HTLs, thereby affecting the subsequent conversion and crystallization process. Adjusting the amount of deposited FAI reveals an unexpected correlation of the PbI 2 -to-perovskite X-ray diffraction peak intensity ratio to final PSC performance that depends on the employed HTL. Our approach enables PCEs of more than 17%, the highest reported for fully vacuum-processed pure FAPI PSCs in the p-i-n architecture.
Source: openalex_inverted_index · Quality: baseline
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
Light Technology Institute, Karlsruhe Institute of Technology, Engesserstrasse 13, 76131 Karlsruhe, Germany
Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Funding
Bundesministerium für Wirtschaft und Klimaschutz · Helmholtz-Gemeinschaft · Helmholtz Energy Materials Foundry · HORIZON EUROPE Climate, Energy and Mobility
References (69)
Show source-provided references
1. 10.1038/ncomms675710.1038/ncomms6757 ↗
2. 10.1039/C7TA00404D10.1039/C7TA00404D ↗
3. 10.1126/science.124398210.1126/science.1243982 ↗
4. 10.1021/jz500279b10.1021/jz500279b ↗
5. 10.1002/pip.383110.1002/pip.3831 ↗
6. NREL Best Research-Cell Efficiency Chart, https://www.nrel.gov/pv/cell-efficiency.html, accessed: January 2025.
7. 10.1002/adma.20180670210.1002/adma.201806702 ↗
8. 10.1038/s41560-021-00941-310.1038/s41560-021-00941-3 ↗
9. 10.1002/aenm.20200307310.1002/aenm.202003073 ↗
10. 10.1039/D3EE03273F10.1039/D3EE03273F ↗
11. 10.1016/j.matt.2023.07.01110.1016/j.matt.2023.07.011 ↗
12. 10.1002/pip.348910.1002/pip.3489 ↗
13. 10.1016/j.joule.2022.11.00410.1016/j.joule.2022.11.004 ↗
14. 10.1038/nature1250910.1038/nature12509 ↗
15. 10.1021/acsenergylett.2c0030410.1021/acsenergylett.2c00304 ↗
16. 10.1021/acsenergylett.0c0244510.1021/acsenergylett.0c02445 ↗
17. 10.1021/acsenergylett.9b0222410.1021/acsenergylett.9b02224 ↗
18. 10.1021/acsenergylett.0c0147310.1021/acsenergylett.0c01473 ↗
19. 10.1021/acsenergylett.4c0159710.1021/acsenergylett.4c01597 ↗
20. 10.1002/adfm.20221123210.1002/adfm.202211232 ↗
21. 10.1002/adfm.20221435710.1002/adfm.202214357 ↗
22. 10.1021/acsenergylett.3c0172410.1021/acsenergylett.3c01724 ↗
23. 10.1002/solr.20240057510.1002/solr.202400575 ↗
24. 10.1016/j.matt.2024.02.00410.1016/j.matt.2024.02.004 ↗
25. 10.1021/jacs.4c0391110.1021/jacs.4c03911 ↗
26. 10.1038/srep4026710.1038/srep40267 ↗
27. 10.1002/adfm.20210448210.1002/adfm.202104482 ↗
28. 10.1021/acsami.0c1089810.1021/acsami.0c10898 ↗
29. 10.1002/aenm.20210146010.1002/aenm.202101460 ↗
30. 10.1002/adma.20140246110.1002/adma.201402461 ↗
31. 10.1088/1361-6463/aaebf110.1088/1361-6463/aaebf1 ↗
32. 10.1039/D1EE00634G10.1039/D1EE00634G ↗
33. 10.1002/pssr.20200044910.1002/pssr.202000449 ↗
34. 10.1126/sciadv.abo742210.1126/sciadv.abo7422 ↗
35. 10.1016/j.joule.2024.02.01910.1016/j.joule.2024.02.019 ↗
36. 10.1039/C5TA01824B10.1039/C5TA01824B ↗
37. 10.1002/solr.20200055210.1002/solr.202000552 ↗
38. 10.1039/C6QM00379F10.1039/C6QM00379F ↗
39. 10.1002/solr.20210041510.1002/solr.202100415 ↗
40. 10.1002/adma.20160150510.1002/adma.201601505 ↗
41. 10.1039/C4TA05070C10.1039/C4TA05070C ↗
42. 10.1002/adfm.20220839210.1002/adfm.202208392 ↗
43. 10.1002/smll.20230796010.1002/smll.202307960 ↗
44. 10.1039/D1TA02535J10.1039/D1TA02535J ↗
45. 10.1016/j.mtener.2024.10150610.1016/j.mtener.2024.101506 ↗
46. 10.1016/j.joule.2020.09.01010.1016/j.joule.2020.09.010 ↗
47. 10.1002/adma.20220316610.1002/adma.202203166 ↗
48. 10.1039/C9EE02268F10.1039/C9EE02268F ↗
49. 10.1126/science.abm856610.1126/science.abm8566 ↗
50. 10.1039/D3EE03273F10.1039/D3EE03273F ↗
51. 10.1016/j.joule.2022.05.00210.1016/j.joule.2022.05.002 ↗
52. 10.1002/pssa.20230069010.1002/pssa.202300690 ↗
53. 10.1002/aenm.20220398210.1002/aenm.202203982 ↗
54. 10.1002/adfm.20221517110.1002/adfm.202215171 ↗
55. 10.1002/solr.20230078810.1002/solr.202300788 ↗
56. 10.1002/solr.20210088210.1002/solr.202100882 ↗
57. 10.1039/C9EE02020A10.1039/C9EE02020A ↗
58. 10.1039/D2EE00433J10.1039/D2EE00433J ↗
59. 10.1002/adma.20220379410.1002/adma.202203794 ↗
60. 10.1002/anie.20241960810.1002/anie.202419608 ↗
61. 10.1039/C9NR04104D10.1039/C9NR04104D ↗
62. 10.1002/solr.20240016510.1002/solr.202400165 ↗
63. 10.1016/j.mssp.2023.10735810.1016/j.mssp.2023.107358 ↗
64. 10.1002/aenm.20230076010.1002/aenm.202300760 ↗
65. 10.1016/j.joule.2024.02.00710.1016/j.joule.2024.02.007 ↗
66. 10.1007/s40820-024-01408-210.1007/s40820-024-01408-2 ↗
67. 10.1021/acsami.1c1228310.1021/acsami.1c12283 ↗
68. 10.1016/j.scib.2018.11.00410.1016/j.scib.2018.11.004 ↗
69. 10.1002/adma.20220502710.1002/adma.202205027 ↗