Halide Perovskite Thin Film Lasing Mode Control
Source abstract
Abstract
Metal halide perovskite semiconductors have emerged as highly efficient amplifying materials; to ensure practical applicability, it is important to have precise control over the spectral and polarization characteristics of lasing emission. In this study, we present effective strategies for manipulating single- and multimode lasing from surface-emitting and optically pumped perovskite distributed feedback lasers. We show that cladding structures can be made to modify the optical properties of guided transverse electric and magnetic modes within the gain medium. This leads to spectral tuning of multipeak lasing emission and the generation of linear polarization modes. Our results are supported with a comprehensive multilayer slab waveguide model and confirmed with two different perovskite materials: methylammonium lead iodide and cesium lead bromide.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Optical properties and cooling technologies in crystalline materials · Solid State Laser Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Physics, Ewha Womans University, Seoul 03760, Republic of Korea
Department of Electrical and Computer Engineering, Princeton University, Princeton, New Jersey 08544, United States
Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
Funding
National Research Foundation of Korea
References (43)
Show source-provided references
1. 10.1063/1.164378610.1063/1.1643786 ↗
2. 10.1002/3527607986.ch110.1002/3527607986.ch1 ↗
3. 10.1103/PhysRevLett.9.36610.1103/PhysRevLett.9.366 ↗
4. 10.1063/1.12425810.1063/1.124258 ↗
5. 10.1038/347539a010.1038/347539a0 ↗
6. 10.1038/1639310.1038/16393 ↗
7. 10.1103/PhysRevLett.92.18660110.1103/PhysRevLett.92.186601 ↗
8. 10.1146/annurev.matsci.30.1.54510.1146/annurev.matsci.30.1.545 ↗
9. 10.1038/nphoton.2016.6210.1038/nphoton.2016.62 ↗
10. 10.1021/acs.chemrev.9b0010710.1021/acs.chemrev.9b00107 ↗
11. 10.1364/OE.22.01880010.1364/OE.22.018800 ↗
12. 10.1021/acs.chemrev.2c0072110.1021/acs.chemrev.2c00721 ↗
13. 10.1021/acsphotonics.1c0091010.1021/acsphotonics.1c00910 ↗
14. 10.1021/acsphotonics.9b0150110.1021/acsphotonics.9b01501 ↗
15. 10.1002/adfm.20210221010.1002/adfm.202102210 ↗
16. 10.1021/acs.nanolett.8b0099010.1021/acs.nanolett.8b00990 ↗
17. 10.1002/adma.20170618610.1002/adma.201706186 ↗
18. 10.1126/sciadv.adj347610.1126/sciadv.adj3476 ↗
19. 10.1021/acsnano.5b0815310.1021/acsnano.5b08153 ↗
20. 10.1063/1.494868110.1063/1.4948681 ↗
21. 10.1002/admt.20170025310.1002/admt.201700253 ↗
22. 10.1038/s41598-017-11569-310.1038/s41598-017-11569-3 ↗
23. 10.1002/adfm.20160169010.1002/adfm.201601690 ↗
24. 10.1002/adom.20200003010.1002/adom.202000030 ↗
25. 10.1016/j.optmat.2020.11013010.1016/j.optmat.2020.110130 ↗
26. 10.1021/acsphotonics.7b0071310.1021/acsphotonics.7b00713 ↗
27. 10.1038/s41586-020-2621-110.1038/s41586-020-2621-1 ↗
28. 10.1002/adom.20190129710.1002/adom.201901297 ↗
29. 10.1002/adma.20210486710.1002/adma.202104867 ↗
30. 10.1038/s41566-023-01341-710.1038/s41566-023-01341-7 ↗
31. 10.1002/advs.20210166310.1002/advs.202101663 ↗
32. 10.1002/adma.20200075210.1002/adma.202000752 ↗
33. 10.1038/s41467-018-07383-810.1038/s41467-018-07383-8 ↗
34. 10.1126/science.abf529110.1126/science.abf5291 ↗
35. 10.1021/acsnano.0c0362810.1021/acsnano.0c03628 ↗
36. 10.1021/acs.nanolett.6b0194610.1021/acs.nanolett.6b01946 ↗
37. https://www.computational-photonics.eu/. (accessed 2021).
38. 10.3390/molecules2713426110.3390/molecules27134261 ↗
39. 10.1364/AO.51.00328710.1364/AO.51.003287 ↗
40. 10.1063/1.471199310.1063/1.4711993 ↗
41. 10.1021/acsphotonics.0c0124410.1021/acsphotonics.0c01244 ↗
42. 10.1063/1.166149910.1063/1.1661499 ↗
43. 10.1021/cr050152i10.1021/cr050152i ↗