Enhancing FAPbI3 Perovskite Solar Cell Performance and Stability Through Bespoke Graphene Quantum Dots
Source abstract
Abstract
ABSTRACT A novel approach to enhancing the efficiency and long‐term stability of perovskite solar cells (PSCs) is presented through strategic interfacial modification using bespoke graphene quantum dots (GQDs). GQDs with controlled alkylamine chain lengths, such as butylamine (C4), octylamine (C8), and dodecylamine (C12), were customized to have the proper optical and electronic properties toward specific interfaces within the PSCs. The incorporation of C4‐GQDs significantly improved the energy level alignment and conductivity of the SnO2 electron transport layer (ETL), while C12‐GQDs effectively reduced trap density on the perovskite surface, leading to enhanced defect passivation. These modifications resulted in a substantial increase in power conversion efficiency of 24.41% in a unit cell and 18.91% in a mini‐module, respectively. Notably, the maximum power point tracked perovskite mini‐module retained 89% of its initial efficiency during 1000 h of continuous light soaking condition at 25°C under 35% relative humidity. This work highlights the potential of bespoke GQDs to advance both the performance and durability of PSCs, providing a scalable approach for future photovoltaic applications. image
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Conducting polymers and applications · Quantum Dots Synthesis And Properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical and Biological Engineering Korea University Seoul Republic of Korea
Funding
Ministry of Trade, Industry and Energy · Ministry of Science and ICT, South Korea · Korea Institute of Energy Technology Evaluation and Planning
References (33)
Show source-provided references
1. 10.1126/science.adf334910.1126/science.adf3349 ↗
2. 10.1038/s41586-021-03964-810.1038/s41586-021-03964-8 ↗
3. 10.1016/j.jcis.2016.11.02110.1016/j.jcis.2016.11.021 ↗
4. 10.1039/C8TA09452G10.1039/C8TA09452G ↗
5. 10.1088/0022-3727/49/47/47300110.1088/0022-3727/49/47/473001 ↗
6. “Best Research‐Cell Efficiency Chart ”accessed Aug 31 2024 https://www.nrel.gov/pv/cell‐efficiency.html.
7. 10.1002/aenm.20210300710.1002/aenm.202103007 ↗
8. 10.1002/aenm.20220325010.1002/aenm.202203250 ↗
9. 10.1063/5.020233210.1063/5.0202332 ↗
10. 10.1002/adma.20240838710.1002/adma.202408387 ↗
11. 10.1016/j.cej.2023.14230210.1016/j.cej.2023.142302 ↗
12. 10.1002/aenm.20210403010.1002/aenm.202104030 ↗
13. 10.1002/adma.20210079110.1002/adma.202100791 ↗
14. 10.1016/j.nantod.2016.12.00610.1016/j.nantod.2016.12.006 ↗
15. 10.1038/nmat237810.1038/nmat2378 ↗
16. 10.1021/acs.analchem.2c0080210.1021/acs.analchem.2c00802 ↗
17. 10.1002/ange.20220414810.1002/ange.202204148 ↗
18. 10.1002/adfm.20210143810.1002/adfm.202101438 ↗
19. 10.1002/aenm.20240206610.1002/aenm.202402066 ↗
20. 10.1002/solr.20220002310.1002/solr.202200023 ↗
21. 10.1021/acs.nanolett.9b0194010.1021/acs.nanolett.9b01940 ↗
22. 10.1016/j.colsurfa.2024.13481910.1016/j.colsurfa.2024.134819 ↗
23. 10.1016/j.foodhyd.2021.10673610.1016/j.foodhyd.2021.106736 ↗
24. 10.1038/srep0497610.1038/srep04976 ↗
25. 10.3390/nano706013510.3390/nano7060135 ↗
26. 10.1039/C6TC03469A10.1039/C6TC03469A ↗
27. 10.1039/C9NR05345J10.1039/C9NR05345J ↗
28. 10.1021/am302389810.1021/am3023898 ↗
29. 10.1002/eem2.1258210.1002/eem2.12582 ↗
30. 10.1016/j.jiec.2021.05.00110.1016/j.jiec.2021.05.001 ↗
31. 10.1016/j.jechem.2022.12.01410.1016/j.jechem.2022.12.014 ↗
32. 10.1021/acsami.2c1294410.1021/acsami.2c12944 ↗
33. 10.1016/j.scib.2019.08.02910.1016/j.scib.2019.08.029 ↗