journal article·2026-06

Imide‐Based Molecular Passivation Enables Efficient Wide‐Bandgap Perovskite and Perovskite/Silicon Tandem Solar Cells

Yiran Yan, Qiang Fu, Jiarong Wang, Tianjiao Chu, Liujiang Zhang, Zhenye Liang, Jia Wang, Lin Yang, Xiangrong Zhu, Zhihong Xie, Jianwei Yang, Renjie Zou, Bin Kan, Lina Li, Xingyu Gao, Jin Huang, Liyou Yang, Linfeng Lu, Xiaofei Ji

Advanced Energy Materials· Volume 16· Issue 21
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Abstract

ABSTRACT Wide‐bandgap perovskite absorbers are essential for achieving high‐efficiency perovskite/silicon tandem solar cells. However, in p‐i‐n architectures, their inherent strong p ‐type (or weak n ‐type) characteristics hinder electron extraction, causing significant open‐circuit voltage ( V OC ) deficits. To address these challenges, we developed 3‐phthalimidopropanoic acid (DPA). This molecular passivation material leverages the electron‐deficient properties of its phthalimide core. DPA delivers three synergistic effects: it acts as an interface dipole layer to precisely align surface energy levels, enhance the surface n ‐type characteristics, and boost quasi‐Fermi level splitting (QFLS); it forms a gradient distribution during anti‐solvent processing to modulate crystallization kinetics, improve film morphology, and minimize defects; and it achieves carboxyl‐group chelation of undercoordinated Pb 2+ to effectively passivate surface and bulk traps, thereby significantly enhancing device stability. Consequently, a DPA‐modified wide‐bandgap (1.68 eV) perovskite solar cell achieves an efficiency of 22.91%. Moreover, a two‐terminal perovskite‐silicon tandem solar cell delivers an efficiency of 31.66%. This approach provides a robust strategy for efficient and stable tandem photovoltaics, advancing n ‐type interface engineering.
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Research context

OpenAlex topics: Perovskite Materials and Applications · Organic Electronics and Photovoltaics · TiO2 Photocatalysis and Solar Cells

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

Affiliations

Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China

University of Chinese Academy of Sciences Beijing China

Department of Materials Science and Engineering City University of Hong Kong Hong Kong China

School of Materials Science and Engineering National Institute for Advanced Materials Nankai University Tianjin China

School of Energy and Materials Shanghai Polytechnic University Shanghai China

JINNENG Clean Energy Technology Ltd. Jinzhong Shanxi China

Funding

National Natural Science Foundation of China

References (59)

Show source-provided references
1. 10.1021/acs.chemrev.0c0010710.1021/acs.chemrev.0c00107 ↗
2. 10.1038/s41467‐024‐51760‐510.1038/s41467‐024‐51760‐5 ↗
3. 10.1038/s41566‐025‐01703‐310.1038/s41566‐025‐01703‐3 ↗
4. 10.1126/science.adw878010.1126/science.adw8780 ↗
5. 10.1038/s41566‐025‐01797‐910.1038/s41566‐025‐01797‐9 ↗
6. 10.1002/anie.20240776610.1002/anie.202407766 ↗
7. 10.1007/s40820‐025‐01744‐x10.1007/s40820‐025‐01744‐x ↗
8. 10.1002/adma.20231150110.1002/adma.202311501 ↗
9. 10.1038/s41586‐025‐09333‐z10.1038/s41586‐025‐09333‐z ↗
10. 10.1038/s41586‐025‐09835‐w10.1038/s41586‐025‐09835‐w ↗
11. 10.1038/s41563‐025‐02375‐810.1038/s41563‐025‐02375‐8 ↗
12. 10.1002/adma.20241850010.1002/adma.202418500 ↗
13. 10.1002/admi.20140053210.1002/admi.201400532 ↗
14. 10.1038/srep4026710.1038/srep40267 ↗
15. 10.1002/adma.20241862210.1002/adma.202418622 ↗
16. 10.1126/science.adx174510.1126/science.adx1745 ↗
17. 10.1002/aenm.20240102910.1002/aenm.202401029 ↗
18. 10.1002/aenm.20240103910.1002/aenm.202401039 ↗
19. 10.1016/j.joule.2025.10210510.1016/j.joule.2025.102105 ↗
20. 10.1021/jacs.2c1356610.1021/jacs.2c13566 ↗
21. 10.1007/s40820‐024‐01408‐210.1007/s40820‐024‐01408‐2 ↗
22. 10.1002/aenm.20240141410.1002/aenm.202401414 ↗
23. 10.1021/acsenergylett.5c0061510.1021/acsenergylett.5c00615 ↗
24. 10.1002/adma.20250050110.1002/adma.202500501 ↗
25. 10.1002/adma.20230366510.1002/adma.202303665 ↗
26. 10.1021/jacs.3c1357610.1021/jacs.3c13576 ↗
27. 10.1016/j.esci.2024.10030810.1016/j.esci.2024.100308 ↗
28. 10.1002/solr.20240018910.1002/solr.202400189 ↗
29. 10.1126/science.abn891010.1126/science.abn8910 ↗
30. 10.1002/aenm.20220110910.1002/aenm.202201109 ↗
31. 10.1038/s41578‐022‐00503‐310.1038/s41578‐022‐00503‐3 ↗
32. 10.1007/s40820‐023‐01131‐410.1007/s40820‐023‐01131‐4 ↗
33. 10.1038/s41560‐023‐01362‐010.1038/s41560‐023‐01362‐0 ↗
34. 10.1126/science.adr209110.1126/science.adr2091 ↗
35. 10.1021/jacs.5c0966910.1021/jacs.5c09669 ↗
36. 10.1002/anie.20240428910.1002/anie.202404289 ↗
37. 10.1002/adma.20250835210.1002/adma.202508352 ↗
38. 10.1021/acsenergylett.5c0108110.1021/acsenergylett.5c01081 ↗
39. 10.1039/D1TA08424K10.1039/D1TA08424K ↗
40. 10.1002/adma.20240734910.1002/adma.202407349 ↗
41. 10.1038/s41563‐025‐02163‐410.1038/s41563‐025‐02163‐4 ↗
42. 10.1038/s41586‐024‐07764‐810.1038/s41586‐024‐07764‐8 ↗
43. 10.1039/D5TC01104C10.1039/D5TC01104C ↗
44. 10.1002/aenm.20220375610.1002/aenm.202203756 ↗
45. 10.1002/adma.20210508310.1002/adma.202105083 ↗
46. 10.1002/adma.20220634510.1002/adma.202206345 ↗
47. 10.1021/acsenergylett.1c0044310.1021/acsenergylett.1c00443 ↗
48. 10.1002/aenm.20210315110.1002/aenm.202103151 ↗
49. 10.1002/aenm.20230171710.1002/aenm.202301717 ↗
50. 10.1021/acsenergylett.4c0250710.1021/acsenergylett.4c02507 ↗
51. 10.1021/acsnano.1c0219110.1021/acsnano.1c02191 ↗
52. 10.1002/anie.20250135010.1002/anie.202501350 ↗
53. 10.1039/D3MH00669G10.1039/D3MH00669G ↗
54. 10.1021/jacs.4c1324810.1021/jacs.4c13248 ↗
55. 10.1038/s41586‐024‐07723‐310.1038/s41586‐024‐07723‐3 ↗
56. 10.1002/smll.20250236710.1002/smll.202502367 ↗
57. 10.1002/adma.20190042810.1002/adma.201900428 ↗
58. 10.1002/aenm.20140081210.1002/aenm.201400812 ↗
59. 10.1002/aenm.20250269610.1002/aenm.202502696 ↗