journal article·2020-07

Highly stable and Efficient Perovskite Solar Cells Based on FAMA‐Perovskite‐Cu:NiO Composites with 20.7% Efficiency and 80.5% Fill Factor

Yousheng Wang, Tahmineh Mahmoudi, Yoon‐Bong Hahn

Advanced Energy Materials· Volume 10· Issue 27
Publisher page

Abstract

Abstract To solve critical issues related to device stability and performance of perovskite solar cells (PSCs), FA0.026MA0.974PbI3−yCly‐Cu:NiO (formamidinium methylammonium (FAMA)‐perovskite‐Cu:NiO) and Al2O3/Cu:NiO composites are developed and utilized for fabrication of highly stable and efficient PSCs through fully‐ambient‐air processes. The FAMA‐perovskite‐Cu:NiO composite crystals prepared without using any antisolvents not only improve the perovskite film quality with large‐size crystals and less grain boundaries but also tailor optical and electronic properties and suppress charge recombination with reduction of trap density. A champion device based on the composites as light absorber and Al2O3/Cu:NiO interfacial layer between electron transport layer and active layer yields power conversion efficiency (PCE) of 20.67% with VOC of 1.047 V, JSC of 24.51 mA cm−2, and fill factor of 80.54%. More importantly, such composite‐based PSCs without encapsulation show significant enhancement in long‐term air‐stability, thermal‐ and photostability with retaining 97% of PCE over 240 d under ambient conditions (25–30 °C, 45–55% humidity).
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

School of Semiconductor and Chemical Engineering Solar Energy Research Center Jeonbuk National University 567 Baekjedaero, Deokjin‐gu Jeonju‐si Jeollabuk‐do 54896 Republic of Korea

Funding

National Research Foundation of Korea

References (51)

Show source-provided references
1. NREL Best Research‐Cell Efficiency Chart https://www.nrel.gov/pv/assets/pdfs/best-research-cell-efficiencies.20190802.pdf(accessed: August 2019).
2. 10.1002/aenm.20180358710.1002/aenm.201803587 ↗
3. 10.1021/acsenergylett.8b0138210.1021/acsenergylett.8b01382 ↗
4. 10.1002/adma.20180440210.1002/adma.201804402 ↗
5. 10.1126/sciadv.aav892510.1126/sciadv.aav8925 ↗
6. 10.1038/s41560-018-0153-910.1038/s41560-018-0153-9 ↗
7. 10.1002/adfm.20190096410.1002/adfm.201900964 ↗
8. 10.1002/aenm.20150047710.1002/aenm.201500477 ↗
9. 10.1038/nenergy.2015.1210.1038/nenergy.2015.12 ↗
10. 10.1038/s41560-019-0382-610.1038/s41560-019-0382-6 ↗
11. 10.1126/science.aat358310.1126/science.aat3583 ↗
12. 10.1126/science.aau570110.1126/science.aau5701 ↗
13. 10.1038/s41467-019-09167-010.1038/s41467-019-09167-0 ↗
14. 10.1002/adfm.20180884310.1002/adfm.201808843 ↗
15. 10.1021/acs.chemrev.8b0033610.1021/acs.chemrev.8b00336 ↗
16. 10.1016/j.nanoen.2017.08.00910.1016/j.nanoen.2017.08.009 ↗
17. 10.1021/acs.chemrev.8b0053910.1021/acs.chemrev.8b00539 ↗
18. 10.1002/adma.20170714310.1002/adma.201707143 ↗
19. 10.1038/s41566-019-0398-210.1038/s41566-019-0398-2 ↗
20. 10.1002/aenm.20180347610.1002/aenm.201803476 ↗
21. 10.1038/nature1413310.1038/nature14133 ↗
22. 10.1126/science.aad584510.1126/science.aad5845 ↗
23. 10.1126/science.aah555710.1126/science.aah5557 ↗
24. 10.1038/ncomms1110510.1038/ncomms11105 ↗
25. 10.1038/nmat401410.1038/nmat4014 ↗
26. 10.1038/s41467-018-06709-w10.1038/s41467-018-06709-w ↗
27. 10.1016/j.nanoen.2016.08.01810.1016/j.nanoen.2016.08.018 ↗
28. 10.3390/nano903032610.3390/nano9030326 ↗
29. 10.1016/j.apsusc.2017.06.25810.1016/j.apsusc.2017.06.258 ↗
30. 10.1038/s41467-018-05454-410.1038/s41467-018-05454-4 ↗
31. 10.1038/nenergy.2017.13510.1038/nenergy.2017.135 ↗
32. 10.1016/j.nanoen.2018.04.03610.1016/j.nanoen.2018.04.036 ↗
33. 10.1016/j.nanoen.2016.08.00610.1016/j.nanoen.2016.08.006 ↗
34. 10.1021/acsenergylett.8b0220110.1021/acsenergylett.8b02201 ↗
35. 10.1016/j.nanoen.2017.08.04710.1016/j.nanoen.2017.08.047 ↗
36. 10.1016/j.joule.2018.12.02210.1016/j.joule.2018.12.022 ↗
37. 10.1016/j.nanoen.2018.02.04710.1016/j.nanoen.2018.02.047 ↗
38. 10.1016/j.nanoen.2019.10396410.1016/j.nanoen.2019.103964 ↗
39. 10.1002/aenm.20190336910.1002/aenm.201903369 ↗
40. 10.1002/solr.20180029610.1002/solr.201800296 ↗
41. 10.1038/s41467-018-05583-w10.1038/s41467-018-05583-w ↗
42. 10.1021/jacs.9b0366210.1021/jacs.9b03662 ↗
43. 10.1126/science.aaa576010.1126/science.aaa5760 ↗
44. 10.1039/C7EE02415K10.1039/C7EE02415K ↗
45. 10.1039/C9EE00872A10.1039/C9EE00872A ↗
46. 10.1038/nphoton.2016.10810.1038/nphoton.2016.108 ↗
47. 10.1002/aenm.20190072110.1002/aenm.201900721 ↗
48. 10.1126/science.aap867110.1126/science.aap8671 ↗
49. 10.1016/j.joule.2019.06.01410.1016/j.joule.2019.06.014 ↗
50. 10.1039/C6SC03542F10.1039/C6SC03542F ↗
51. 10.1126/science.aaa927210.1126/science.aaa9272 ↗