journal article·2024-03

Solvation‐Driven Grain Boundary Passivation Improving the Performance of Perovskite Solar Cells

Chunyan Deng, Lina Tan, Jihuai Wu, Yuqian Yang, Yitian Du, Qi Chen, Xia Chen, Liuxue Sun, Fuda Yu, Weihai Sun, Peng Gao, Zhang Lan

Advanced Energy Materials· Volume 14· Issue 10
Publisher page

Abstract

Abstract The efficiency of perovskite solar cells (PSCs) is hindered by substantial defects within the grain boundaries (GBs) of polycrystalline perovskite films. Conventional post‐treatment strategies struggle to precisely repair these defects at GBs. Here, a targeted grain boundary passivation strategy through solvent effects by incorporating symmetrical biphenyl molecules is proposed, 4,4′‐diaminodiphenyl sulfone (DDS) and 4,4′‐sulfodiphenol (SDP), aiming to mitigate defects at GBs and optimize energy level arrangements through their electric dipole effects. Compared to the pristine device, the SDP‐modified device exhibits significant improvements, including a champion efficiency of 24.39% and an impressive fill factor, along with excellent operation stability. This work provides an effective and straightforward solution for improving the performance of PSCs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Conducting polymers and applications · Organic Light-Emitting Diodes Research

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

Affiliations

Engineering Research Center of Environment‐Friendly Functional Materials Ministry of Education College of Materials Science and Engineering Huaqiao University Xiamen Fujian 361021 China

Chinese Academy of Science Xiamen Institute Rare Earth Materials Xiamen Fujian 361021 China

Funding

National Natural Science Foundation of China

References (59)

Show source-provided references
1. 10.1039/C8CS00853A10.1039/C8CS00853A ↗
2. 10.1021/acsenergylett.0c0124010.1021/acsenergylett.0c01240 ↗
3. 10.1021/acs.chemrev.0c0010710.1021/acs.chemrev.0c00107 ↗
4. NREL Best Research‐Cell Efficiency Charthttps://www.nrel.gov/pv/cell‐efficiency.html(accessed: September2023).
5. 10.1002/adma.20170657610.1002/adma.201706576 ↗
6. 10.1021/nl501838y10.1021/nl501838y ↗
7. 10.1039/C6EE01729K10.1039/C6EE01729K ↗
8. 10.1126/sciadv.abo373310.1126/sciadv.abo3733 ↗
9. 10.1126/science.abb594010.1126/science.abb5940 ↗
10. 10.1021/jacs.1c1223510.1021/jacs.1c12235 ↗
11. 10.1002/anie.20211393210.1002/anie.202113932 ↗
12. 10.1002/aenm.20170097710.1002/aenm.201700977 ↗
13. 10.1038/nenergy.2015.1210.1038/nenergy.2015.12 ↗
14. 10.1038/srep4462910.1038/srep44629 ↗
15. 10.1039/D1EE02287C10.1039/D1EE02287C ↗
16. 10.1021/jacs.2c1330710.1021/jacs.2c13307 ↗
17. 10.1002/aenm.20200338210.1002/aenm.202003382 ↗
18. 10.1016/j.chempr.2018.03.00510.1016/j.chempr.2018.03.005 ↗
19. 10.1126/sciadv.170010610.1126/sciadv.1700106 ↗
20. 10.1038/s41560-023-01295-810.1038/s41560-023-01295-8 ↗
21. 10.1021/acsenergylett.1c0164910.1021/acsenergylett.1c01649 ↗
22. 10.1002/solr.20220072110.1002/solr.202200721 ↗
23. 10.1021/acsenergylett.6b0065710.1021/acsenergylett.6b00657 ↗
24. 10.1002/aenm.20180234610.1002/aenm.201802346 ↗
25. 10.1002/inf2.1243110.1002/inf2.12431 ↗
26. 10.1126/science.abp887310.1126/science.abp8873 ↗
27. 10.1038/s41566-019-0398-210.1038/s41566-019-0398-2 ↗
28. 10.1039/D3EE00636K10.1039/D3EE00636K ↗
29. 10.1002/smtd.20210100010.1002/smtd.202101000 ↗
30. 10.1016/j.joule.2023.02.00310.1016/j.joule.2023.02.003 ↗
31. 10.1016/j.cej.2023.14497510.1016/j.cej.2023.144975 ↗
32. 10.1002/anie.20201714810.1002/anie.202017148 ↗
33. 10.1002/adfm.20221260610.1002/adfm.202212606 ↗
34. 10.1126/science.abi632310.1126/science.abi6323 ↗
35. 10.1002/adfm.20170419510.1002/adfm.201704195 ↗
36. 10.1038/s41586-021-03964-810.1038/s41586-021-03964-8 ↗
37. 10.1002/adma.20180054410.1002/adma.201800544 ↗
38. 10.1016/j.chempr.2019.04.02110.1016/j.chempr.2019.04.021 ↗
39. 10.1039/D2EE02277J10.1039/D2EE02277J ↗
40. 10.1021/acsenergylett.2c0237810.1021/acsenergylett.2c02378 ↗
41. 10.1039/D1EE02454J10.1039/D1EE02454J ↗
42. 10.1021/jacs.0c0859210.1021/jacs.0c08592 ↗
43. 10.1021/jacs.1c0075710.1021/jacs.1c00757 ↗
44. 10.1021/acsenergylett.0c0166410.1021/acsenergylett.0c01664 ↗
45. 10.1016/j.cej.2022.13662210.1016/j.cej.2022.136622 ↗
46. 10.1021/acsenergylett.8b0012110.1021/acsenergylett.8b00121 ↗
47. 10.1016/j.joule.2021.12.00610.1016/j.joule.2021.12.006 ↗
48. 10.1002/aenm.20220419210.1002/aenm.202204192 ↗
49. 10.1002/adma.20230017410.1002/adma.202300174 ↗
50. 10.1039/D0EE01736A10.1039/D0EE01736A ↗
51. 10.1016/j.nanoen.2022.10707210.1016/j.nanoen.2022.107072 ↗
52. Liu G. · Angew. Chem., Int. Ed. · 2023 · 39
53. 10.1021/jacs.1c1084210.1021/jacs.1c10842 ↗
54. 10.1016/j.cej.2022.13831310.1016/j.cej.2022.138313 ↗
55. 10.1002/smll.20210333610.1002/smll.202103336 ↗
56. 10.1016/j.nanoen.2022.10746810.1016/j.nanoen.2022.107468 ↗
57. 10.1016/j.joule.2022.10.00110.1016/j.joule.2022.10.001 ↗
58. 10.1039/D2EE02543D10.1039/D2EE02543D ↗
59. 10.1039/D3EE02591H10.1039/D3EE02591H ↗