journal article·2024-02

Au Nanocluster Assisted Microstructural Reconstruction for Buried Interface Healing for Enhanced Perovskite Solar Cell Performance

Kun Li, Lu Zhang, Yabin Ma, Yajun Gao, Xiaolong Feng, Qiang Li, Li Shang, Ningyi Yuan, Jianning Ding, Alex K. Y. Jen, Jiaxue You, Shengzhong (Frank) Liu

Advanced Materials· Volume 36· Issue 8
Publisher page

Abstract

Abstract The heterogeneity of perovskite film crystallization along the vertical direction leads to voids and traps at the buried interfaces, hampering both efficiency and stability of perovskite solar cells. Here, bovine serum albumin‐functionalized Au nanoclusters (ABSA), combined with heavy gravity, high surface charge density, and strong interactions with the electron transport layer, are designed to reconstruct the buried interfaces for not only high‐quality crystallization, but also improved carrier transfer. The ABSA macromolecules with amine function groups and larger surface charge density interact with the perovskite to improve the crystallinity, and gradually migrate towards the buried interface, healing the defective voids, hence suppressing surface recombination velocity from 3075 to 452 cm s−1. The healed buried interface and the higher surface potential of ABSA‐modified TiO2 lead to improved carrier extraction at the interface. The resulting solar cell attains a power conversion efficiency of 25.0% with negligible hysteresis and remarkable stability, maintaining 92.9% of their initial efficiency after 3200 h of exposure to the ambient atmosphere, they also exhibit better continuous irradiation stability compared to control devices. These findings provide a new metal‐protein complex to eliminate the deleterious voids and defects at the buried interface for improved photovoltaic performance and stability.
Source: crossref · 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

Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education; Shaanxi Key Laboratory for Advanced Energy Devices; Shaanxi Engineering Lab for Advanced Energy Technology; International Joint Research Center of Shaanxi Province for Photoelectric Materials Science; Institute for Advanced Energy Materials; School of Materials Science and Engineering Shaanxi Normal University Xi'an 710119 China

LONGI central research institute LONGI solar technology co. Xi'an Shaanxi 712000 China

State Key Laboratory of Solidification Processing School of Materials Science and Engineering Northwestern Polytechnical University (NPU) Xi'an 710072 China

School of Materials Science and Engineering Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering Jiangsu Province Cultivation Base for State Key Laboratory of Photovoltaic Science and Technology Changzhou University Changzhou 213164 P. R. China

Department of Materials Science and Engineering Hong Kong Institute for Clean Energy City University of Hong Kong Hong Kong SAR China

National Key Laboratory of Science and Technology on High‐strength Structural Materials Central South University Changsha Hunan 410083 P. R. China

Dalian National Laboratory for Clean Energy; iChEM Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 China

University of the Chinese Academy of Sciences Beijing 100039 China

Funding

Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Higher Education Discipline Innovation Project · National Key Research and Development Program of China

References (52)

Show source-provided references
1. 10.1126/science.abh103510.1126/science.abh1035 ↗
2. 10.1039/C9TC05668H10.1039/C9TC05668H ↗
3. 10.1002/adma.20200541010.1002/adma.202005410 ↗
4. 10.1039/C6EE00030D10.1039/C6EE00030D ↗
5. 10.1002/aenm.20190365910.1002/aenm.201903659 ↗
6. 10.1038/s41586-021-03285-w10.1038/s41586-021-03285-w ↗
7. 10.1021/ja809598r10.1021/ja809598r ↗
8. 10.1038/s41586-023-05825-y10.1038/s41586-023-05825-y ↗
9. National Renewable Energy Laboratory Best Research Cell Efficiencies https://www.nrel.gov/pv/cellefficiency.html(accessed: June 2023).
10. 10.1021/acsaem.7b0030010.1021/acsaem.7b00300 ↗
11. 10.1126/science.aax329410.1126/science.aax3294 ↗
12. 10.1002/anie.20211060310.1002/anie.202110603 ↗
13. 10.1039/C8CS00853A10.1039/C8CS00853A ↗
14. 10.1126/science.abi632310.1126/science.abi6323 ↗
15. 10.1039/C9TA11245F10.1039/C9TA11245F ↗
16. 10.1039/C9EE02043H10.1039/C9EE02043H ↗
17. 10.1126/sciadv.abe813010.1126/sciadv.abe8130 ↗
18. 10.1126/science.abf560210.1126/science.abf5602 ↗
19. 10.1126/science.aba089310.1126/science.aba0893 ↗
20. 10.1002/adma.20200643510.1002/adma.202006435 ↗
21. 10.1016/j.cej.2022.13629110.1016/j.cej.2022.136291 ↗
22. 10.1002/adfm.20220951610.1002/adfm.202209516 ↗
23. 10.1002/aenm.20210315110.1002/aenm.202103151 ↗
24. 10.1002/adma.20210159010.1002/adma.202101590 ↗
25. 10.1021/acsaem.2c0229910.1021/acsaem.2c02299 ↗
26. 10.1039/D0CC04039H10.1039/D0CC04039H ↗
27. 10.1021/acsaem.0c0027610.1021/acsaem.0c00276 ↗
28. 10.1016/j.solmat.2019.11029710.1016/j.solmat.2019.110297 ↗
29. 10.1039/C9EE03937F10.1039/C9EE03937F ↗
30. 10.1002/admi.20200114410.1002/admi.202001144 ↗
31. 10.1007/s11468-020-01341-110.1007/s11468-020-01341-1 ↗
32. 10.1002/aenm.20220018610.1002/aenm.202200186 ↗
33. 10.1007/s11082-022-04051-610.1007/s11082-022-04051-6 ↗
34. 10.1002/anie.20230246210.1002/anie.202302462 ↗
35. 10.1002/adfm.20220282910.1002/adfm.202202829 ↗
36. 10.1021/acs.nanolett.0c0485810.1021/acs.nanolett.0c04858 ↗
37. 10.1021/jacs.0c0984510.1021/jacs.0c09845 ↗
38. 10.1186/s11671-018-2664-510.1186/s11671-018-2664-5 ↗
39. 10.1038/nphoton.2016.26910.1038/nphoton.2016.269 ↗
40. 10.1002/adma.20220887510.1002/adma.202208875 ↗
41. 10.1002/adfm.20211039210.1002/adfm.202110392 ↗
42. 10.1021/jacs.8b1309110.1021/jacs.8b13091 ↗
43. 10.1038/s41467-018-05760-x10.1038/s41467-018-05760-x ↗
44. 10.1039/D2TA00389A10.1039/D2TA00389A ↗
45. 10.1002/adma.20220168110.1002/adma.202201681 ↗
46. 10.1021/jacs.0c1273910.1021/jacs.0c12739 ↗
47. 10.1038/nenergy.2016.20710.1038/nenergy.2016.207 ↗
48. 10.1063/1.131220310.1063/1.1312203 ↗
49. 10.1063/1.12216910.1063/1.122169 ↗
50. 10.1063/1.490499310.1063/1.4904993 ↗
51. 10.1021/acsenergylett.1c0281210.1021/acsenergylett.1c02812 ↗
52. 10.1002/adma.20210584910.1002/adma.202105849 ↗