journal article·2025-05-13Open access

Increasing the Phase Stability of CsPbI3 Nanocrystals by Zn2+ and Cd2+ Addition: Synergy of Transmission Electron Microscopy and Molecular Dynamics

Irina Skvortsova, Tom Braeckevelt, Annick De Backer, Nadine Schrenker, Bapi Pradhan, Johan Hofkens, Sandra Van Aert, Veronique Van Speybroeck, Sara Bals

ACS Nano· Volume 19· Issue 18

Abstract

Metal halide perovskites (MHPs) are emerging as promising materials for optoelectronic and photovoltaic applications due to their favorable electronic properties, including a tunable bandgap. However, achieving high stability for these materials remains a critical challenge, particularly for CsPbI 3, whose photoactive phases spontaneously convert into a nonphotoactive yellow orthorhombic δ-phase under ambient conditions. This transformation results in a significant increase in bandgap and a loss of photoactive functionality. In this study, we investigate the impact of Zn 2+ and Cd 2+ dopants on the phase stability of CsPbI 3 nanocrystals (NCs), emphasizing the formation of Ruddlesden–Popper (RP) planar defects, which are frequently observed during compositional tuning. Using transmission electron microscopy (TEM), we follow the temporal evolution of the phase transformation, where black-phase NCs agglomerate and form elongated microtubes with a yellow-phase crystal structure. Our observations demonstrate that doped samples are significantly more stable, while the dopants are key factors in the formation of the RP-like defects with specific atomic arrangements. Using a combination of quantitative TEM and molecular dynamics (MD) simulations we characterize the structure and composition of as-found RP-like defects and elucidate their role in stabilizing the photoactive phases of CsPbI 3 through decreased phase transition kinetics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Chalcogenide Semiconductor Thin Films · Optical properties and cooling technologies in crystalline materials

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

Affiliations

Electron Microscopy for Materials Science (EMAT) and NANOlab Center of Excellence, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium

Center for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium

Department of Chemistry, KU Leuven, Celestijnenlaan 200F, 3001 Leuven, Belgium

Funding

KU Leuven · Fonds Wetenschappelijk Onderzoek · Bijzonder Onderzoeksfonds UGent

References (61)

Show source-provided references
1. 10.1038/nnano.2015.9010.1038/nnano.2015.90 ↗
2. 10.1016/j.nantod.2015.04.00910.1016/j.nantod.2015.04.009 ↗
3. 10.1021/acsenergylett.8b0067210.1021/acsenergylett.8b00672 ↗
4. 10.1126/science.aav868010.1126/science.aav8680 ↗
5. 10.1002/adma.20221022310.1002/adma.202210223 ↗
6. 10.1021/acsenergylett.2c0194910.1021/acsenergylett.2c01949 ↗
7. 10.1021/acsenergylett.0c0248210.1021/acsenergylett.0c02482 ↗
8. 10.1186/s11671-020-03430-w10.1186/s11671-020-03430-w ↗
9. 10.1038/s41467-020-18380-110.1038/s41467-020-18380-1 ↗
10. 10.1021/acsnano.8b0026710.1021/acsnano.8b00267 ↗
11. 10.1021/jacs.9b0605510.1021/jacs.9b06055 ↗
12. 10.1021/acs.chemmater.2c0306510.1021/acs.chemmater.2c03065 ↗
13. 10.1021/acs.jpclett.7b0013410.1021/acs.jpclett.7b00134 ↗
14. 10.1021/acs.nanolett.2c0017010.1021/acs.nanolett.2c00170 ↗
15. 10.1063/5.022070210.1063/5.0220702 ↗
16. 10.1016/j.matt.2021.04.02310.1016/j.matt.2021.04.023 ↗
17. 10.1002/smll.20240357210.1002/smll.202403572 ↗
18. 10.1126/science.aax387810.1126/science.aax3878 ↗
19. 10.1021/jacs.1c0504610.1021/jacs.1c05046 ↗
20. 10.1021/acsenergylett.1c0007610.1021/acsenergylett.1c00076 ↗
21. 10.3389/fmats.2022.84597710.3389/fmats.2022.845977 ↗
22. 10.1021/acsenergylett.7b0070710.1021/acsenergylett.7b00707 ↗
23. 10.1021/acs.nanolett.8b0433910.1021/acs.nanolett.8b04339 ↗
24. 10.1021/acs.chemmater.0c0382510.1021/acs.chemmater.0c03825 ↗
25. 10.1002/anie.20191447310.1002/anie.201914473 ↗
26. 10.1002/adfm.20240056910.1002/adfm.202400569 ↗
27. 10.1016/j.chempr.2022.01.00610.1016/j.chempr.2022.01.006 ↗
28. 10.1021/acs.jpcc.3c0577010.1021/acs.jpcc.3c05770 ↗
29. 10.1107/S056774086900322010.1107/S0567740869003220 ↗
30. 10.1107/S056773947600155110.1107/S0567739476001551 ↗
31. 10.3788/COL202119.03000210.3788/COL202119.030002 ↗
32. 10.1126/science.abb594010.1126/science.abb5940 ↗
33. 10.1016/j.apmt.2022.10159210.1016/j.apmt.2022.101592 ↗
34. 10.1021/acsanm.2c0465510.1021/acsanm.2c04655 ↗
35. Nellist P. D. · 2007 · 6510.1007/978-0-387-49762-4_2 ↗
36. 10.1016/j.ultramic.2016.08.01810.1016/j.ultramic.2016.08.018 ↗
37. 10.1021/acs.nanolett.7b0214610.1021/acs.nanolett.7b02146 ↗
38. 10.1021/acs.chemmater.9b0048910.1021/acs.chemmater.9b00489 ↗
39. 10.1002/adma.20180504710.1002/adma.201805047 ↗
40. 10.1021/jacs.8b0604610.1021/jacs.8b06046 ↗
41. 10.1002/smll.20220501110.1002/smll.202205011 ↗
42. 10.1021/jacs.8b0054210.1021/jacs.8b00542 ↗
43. 10.1021/ic101233s10.1021/ic101233s ↗
44. 10.1103/PhysRevB.78.02442610.1103/PhysRevB.78.024426 ↗
45. 10.1088/1742-6596/126/1/01205010.1088/1742-6596/126/1/012050 ↗
46. 10.1039/C9QM00734B10.1039/C9QM00734B ↗
47. 10.1021/acsnano.1c0914210.1021/acsnano.1c09142 ↗
48. Batatia, I.; Kovács, D. P.; Simm, G. N. C.; Ortner, C.; Csányi, G. M. MACE: Higher-Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields. arXiv [stat.ML], 2023, arXiv:2206.07697.
49. 10.1002/wcms.115910.1002/wcms.1159 ↗
50. 10.1038/s41524-023-00969-x10.1038/s41524-023-00969-x ↗
51. 10.1016/j.ultramic.2016.06.00310.1016/j.ultramic.2016.06.003 ↗
52. 10.1038/s41467-022-35255-910.1038/s41467-022-35255-9 ↗
53. 10.1016/j.chempr.2022.07.02610.1016/j.chempr.2022.07.026 ↗
54. 10.1021/acs.jpclett.9b0083210.1021/acs.jpclett.9b00832 ↗
55. 10.1021/acs.chemmater.0c0173510.1021/acs.chemmater.0c01735 ↗
56. Verstraelen, T.; Vanduyfhuys, L.; Vandenbrande, S.; Rogge, S. Yaff yet Another Force Field. http://molmod.ugent.be/software/. (accessed December 23, 2024).
57. 10.1103/PhysRevE.75.05670710.1103/PhysRevE.75.056707 ↗
58. 10.1063/1.47064810.1063/1.470648 ↗
59. 10.1063/1.338234410.1063/1.3382344 ↗
60. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
61. 10.1021/acs.jpcb.3c0666210.1021/acs.jpcb.3c06662 ↗