Interfacial and Permeating Modification Effect of n-type Non-fullerene Acceptors toward High-Performance Perovskite Solar Cells
Source abstract
Abstract
Interface passivation in the electron transport layer (ETL) has emerged as a very important and challenging topic for the improvement of stability and efficiency of perovskite solar cells (PSCs). Here, we introduce the n-type small organic molecule Y6 that acts as an effective ETL modifier through surface engineering. As a result, the simple PCBM + Y6 ETL led to significantly stronger light absorption, higher electron extraction ability and transportability, and reduced recombination loss in regular MAPbI3 PSCs. The power conversion efficiency can be significantly increased from 17.39 to 20.02% in inverted p–i–n MAPbI3 PSCs without additional alternation, with an increment of over 15%, along with higher open-circuit voltage and short-circuit current. What is more, the devices with the Y6-modified ETL also exhibited better long-term stability compared to the control devices. This indicates the feasibility of enhancing absorption over a wider light spectrum in a single-junction cell and gaining a comprehensive understanding of interface engineering between the ETL and perovskite layer.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Quantum Dots Synthesis And Properties · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education), Institute of Solar Energy, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
Department of Polymer Science and Engineering, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
Funding
National Natural Science Foundation of China
References (66)
Show source-provided references
1. 10.1002/aelm.20170036210.1002/aelm.201700362 ↗
2. 10.1002/anie.20170322610.1002/anie.201703226 ↗
3. 10.1038/s41566-019-0390-x10.1038/s41566-019-0390-x ↗
4. 10.1021/ja809598r10.1021/ja809598r ↗
5. National Renewable Energy Laboratory (NREL), B. R.C. E. C. 2021, https://www.nrel.gov/pv/assets/pdfs/best-research-cell-efficiencies.20200218.pdf accessed July, 2021.
6. 10.1126/sciadv.170010610.1126/sciadv.1700106 ↗
7. 10.1021/nn503647610.1021/nn5036476 ↗
8. 10.1038/nphoton.2016.310.1038/nphoton.2016.3 ↗
9. 10.1002/solr.20190052910.1002/solr.201900529 ↗
10. 10.1021/acs.jpcc.0c0262810.1021/acs.jpcc.0c02628 ↗
11. 10.1002/admi.20190196410.1002/admi.201901964 ↗
12. 10.1016/j.nanoen.2020.10550510.1016/j.nanoen.2020.105505 ↗
13. 10.1016/j.joule.2019.01.00410.1016/j.joule.2019.01.004 ↗
14. 10.1002/aenm.20190423410.1002/aenm.201904234 ↗
15. 10.1002/adma.20200234410.1002/adma.202002344 ↗
16. 10.1016/j.joule.2020.06.00710.1016/j.joule.2020.06.007 ↗
17. 10.1002/adma.20170107310.1002/adma.201701073 ↗
18. 10.1002/adfm.20190892010.1002/adfm.201908920 ↗
19. 10.1038/ncomms678410.1038/ncomms6784 ↗
20. 10.1038/ncomms808110.1038/ncomms8081 ↗
21. 10.1038/s42005-018-0007-610.1038/s42005-018-0007-6 ↗
22. 10.1021/acsaem.9b0029310.1021/acsaem.9b00293 ↗
23. 10.1016/j.solmat.2011.12.00510.1016/j.solmat.2011.12.005 ↗
24. 10.1002/adma.20190222210.1002/adma.201902222 ↗
25. 10.1116/1.124786610.1116/1.1247866 ↗
26. 10.1088/2053-1591/3/11/11640310.1088/2053-1591/3/11/116403 ↗
27. 10.1002/adma.20160454510.1002/adma.201604545 ↗
28. Naumkin, A. V., Kraut-Vass, A., Gaarenstroom, S. W., Powell, C. J. NIST X-ray Photoelectron Spectroscopy Database, Version 4.1, 2012. http://srdata.nist.gov/xps/ accessed: July, 2021.
29. 10.1021/jacs.5b0853510.1021/jacs.5b08535 ↗
30. 10.1039/c5cp06232b10.1039/c5cp06232b ↗
31. 10.1039/c8ee01101j10.1039/c8ee01101j ↗
32. 10.1039/c9ee02324k10.1039/c9ee02324k ↗
33. 10.1016/j.jpowsour.2019.05.07510.1016/j.jpowsour.2019.05.075 ↗
34. 10.1126/science.aaa576010.1126/science.aaa5760 ↗
35. 10.1038/ncomms678410.1038/ncomms6784 ↗
36. 10.1002/aenm.20190198010.1002/aenm.201901980 ↗
37. 10.1126/science.abd401610.1126/science.abd4016 ↗
38. 10.1021/acs.nanolett.5b0143010.1021/acs.nanolett.5b01430 ↗
39. 10.1002/aenm.20200045310.1002/aenm.202000453 ↗
40. 10.1063/1.504248910.1063/1.5042489 ↗
41. 10.1002/adom.20200224010.1002/adom.202002240 ↗
42. 10.1038/lsa.2016.5610.1038/lsa.2016.56 ↗
43. 10.1002/aenm.20190163110.1002/aenm.201901631 ↗
44. 10.1002/aenm.20170188310.1002/aenm.201701883 ↗
45. 10.1016/j.solmat.2014.10.03610.1016/j.solmat.2014.10.036 ↗
46. 10.1002/aenm.20200069410.1002/aenm.202000694 ↗
47. 10.1021/acsami.9b0174010.1021/acsami.9b01740 ↗
48. 10.1016/j.solener.2017.06.02610.1016/j.solener.2017.06.026 ↗
49. 10.1039/c6tc04510c10.1039/c6tc04510c ↗
50. 10.1038/srep1892210.1038/srep18922 ↗
51. 10.1002/aenm.20170075810.1002/aenm.201700758 ↗
52. 10.1021/acsenergylett.8b0068710.1021/acsenergylett.8b00687 ↗
53. 10.1002/adfm.20150404110.1002/adfm.201504041 ↗
54. 10.1063/1.490151010.1063/1.4901510 ↗
55. 10.1002/solr.20190004510.1002/solr.201900045 ↗
56. 10.1126/science.aai908110.1126/science.aai9081 ↗
57. 10.3390/ma1105077810.3390/ma11050778 ↗
58. 10.1021/acsami.0c1481610.1021/acsami.0c14816 ↗
59. 10.1002/ente.20200077810.1002/ente.202000778 ↗
60. 10.1002/adma.20200278410.1002/adma.202002784 ↗
61. 10.1002/adfm.20200910310.1002/adfm.202009103 ↗
62. 10.1038/s41560-019-0529-510.1038/s41560-019-0529-5 ↗
63. 10.1002/adfm.20200465210.1002/adfm.202004652 ↗
64. 10.1038/s41467-019-12513-x10.1038/s41467-019-12513-x ↗
65. 10.1038/s41467-020-20580-810.1038/s41467-020-20580-8 ↗
66. 10.1002/adma.20200717710.1002/adma.202007177 ↗