journal article·2023-04Open access

Perovskite CsPbBr3 Single‐Crystal Detector Operating at 1010 Photons s−1 mm−2 for Ultra‐High Flux X‐ray Detection

Lei Pan, Indra Raj Pandey, Antonino Miceli, Vladislav V. Klepov, Duck Young Chung, Mercouri G. Kanatzidis

Advanced Optical Materials· Volume 11· Issue 7

Abstract

Abstract Semiconductors for detecting hard radiation are confronted with considerable problems when operating at high photon fluxes. A perovskite CsPbBr3 single‐crystal detector capable of operating at X‐ray fluxes of up to 1010 photons s−1 mm−2 with beam area ≤ 0.25 mm2 at 58.61 keV for current‐mode X‐ray detection is reported. The spectrometer‐grade melt‐grown CsPbBr3 detectors show a gamma‐ray energy resolution of ~7.5% at 122 keV for 57Co and dark current as low as 4.3 nA (0.5 nA mm−2) at a reverse bias voltage of 200 V (118 V mm−1). The detector is tested at X‐ray energies of 8.2, 10, and 58.61 keV at a synchrotron light source under a reverse bias voltage of up to 1000 V (588 V mm−1). Under a sufficiently high bias voltage and within several hundreds of seconds X‐ray exposure, good photocurrent linearity (goodness of fit R2 > 0.99) and reproducibility are obtained up to a flux of ≈1010 photons s−1 mm−2 at beam area 0.25 mm2 with Lower Limit of Detection of ≈105 photons s−1 mm−2 and Charge Collection Efficiency of ≈100% for 58.61 keV X‐rays. Accordingly, wide application of CsPbBr3 detectors in high‐flux X‐ray detection is anticipated.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Luminescence Properties of Advanced Materials · Solid-state spectroscopy and crystallography

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

Affiliations

Department of Chemistry Northwestern University Evanston IL 60208 USA

Materials Science Division Argonne National Laboratory Lemont IL 60439 USA

X‐ray Science Division Argonne National Laboratory Lemont IL 60439 USA

Funding

U.S. Department of Energy · Office of Science · Defense Threat Reduction Agency

References (50)

Show source-provided references
1. 10.1038/s41566-021-00909-510.1038/s41566-021-00909-5 ↗
2. 10.1002/xrs.314110.1002/xrs.3141 ↗
3. 10.1146/annurev.physiol.70.113006.10043410.1146/annurev.physiol.70.113006.100434 ↗
4. 10.1002/smtd.20210055710.1002/smtd.202100557 ↗
5. 10.1002/978111928045310.1002/9781119280453 ↗
6. 10.1063/1.504100610.1063/1.5041006 ↗
7. 10.1016/j.nima.2013.05.17410.1016/j.nima.2013.05.174 ↗
8. 10.3390/s11050511210.3390/s110505112 ↗
9. 10.1107/S205225251500010X10.1107/S205225251500010X ↗
10. 10.1103/PhysRevB.77.03520510.1103/PhysRevB.77.035205 ↗
11. 10.1016/0029-554X(74)90408-X10.1016/0029-554X(74)90408-X ↗
12. 10.1063/1.309905110.1063/1.3099051 ↗
13. 10.1016/j.nima.2016.08.02910.1016/j.nima.2016.08.029 ↗
14. 10.3390/s2010274710.3390/s20102747 ↗
15. 10.1016/j.nima.2006.06.01610.1016/j.nima.2006.06.016 ↗
16. 10.1016/j.nima.2011.01.15910.1016/j.nima.2011.01.159 ↗
17. 10.1088/1748-0221/6/01/C0105510.1088/1748-0221/6/01/C01055 ↗
18. 10.1088/1748-0221/17/03/P0300310.1088/1748-0221/17/03/P03003 ↗
19. Tsigaridas S. · J. Instrum. · 2019 · 1410.1088/1748-0221/14/04/C04009 ↗
20. 10.1088/1361-6463/aaf55610.1088/1361-6463/aaf556 ↗
21. 10.3390/s2204144110.3390/s22041441 ↗
22. 10.1109/TNS.2016.255631810.1109/TNS.2016.2556318 ↗
23. 10.1109/TNS.2008.200335510.1109/TNS.2008.2003355 ↗
24. Schieber M. M. · 1999 · 29610.1117/12.366594 ↗
25. 10.1063/5.002026210.1063/5.0020262 ↗
26. 10.1088/1748-0221/14/05/P0502010.1088/1748-0221/14/05/P05020 ↗
27. 10.1038/s41467-019-08981-w10.1038/s41467-019-08981-w ↗
28. Cao L. R. · 2021 · 118380B
29. 10.1002/adma.20210649810.1002/adma.202106498 ↗
30. 10.1038/nature2403210.1038/nature24032 ↗
31. 10.1038/s41566-020-00727-110.1038/s41566-020-00727-1 ↗
32. 10.1109/TNS.2020.296430610.1109/TNS.2020.2964306 ↗
33. 10.1109/TMI.2022.317680110.1109/TMI.2022.3176801 ↗
34. 10.1002/advs.20200209810.1002/advs.202002098 ↗
35. 10.1021/acs.accounts.5b0042010.1021/acs.accounts.5b00420 ↗
36. 10.1021/acsenergylett.7b0044210.1021/acsenergylett.7b00442 ↗
37. 10.1039/C8TC02334D10.1039/C8TC02334D ↗
38. 10.1021/acs.jpcc.8b0706910.1021/acs.jpcc.8b07069 ↗
39. 10.1002/aenm.20190413410.1002/aenm.201904134 ↗
40. 10.1002/adfm.20210712510.1002/adfm.202107125 ↗
41. 10.1021/acs.jpcc.0c0112110.1021/acs.jpcc.0c01121 ↗
42. 10.1038/s41467-021-25648-710.1038/s41467-021-25648-7 ↗
43. 10.1109/TNS.2020.301810110.1109/TNS.2020.3018101 ↗
44. 10.1002/adfm.20211292510.1002/adfm.202112925 ↗
45. 10.1016/j.nima.2019.01.00810.1016/j.nima.2019.01.008 ↗
46. 10.1038/s41467-018-04073-310.1038/s41467-018-04073-3 ↗
47. 10.1039/D2TC01679F10.1039/D2TC01679F ↗
48. 10.1364/OE.25.01385710.1364/OE.25.013857 ↗
49. Ahmed M. S. · Int J Comput Appl · 2016 · 975 · 8887
50. 10.1063/1.492738210.1063/1.4927382 ↗