journal article·2020-12Open access

Halide perovskites: A dark horse for direct X‐ray imaging

Xiuwen Xu, Wei Qian, Shuang Xiao, Jian Wang, Shizhao Zheng, Shihe Yang

EcoMat· Volume 2· Issue 4

Abstract

Abstract The high cost and difficulty of fabricating high‐quality, thick, large‐area X‐ray absorbers limit their widespread applications in flat‐panel direct hard X‐ray imaging. Then it comes to the recently rising halide perovskites, which show large carrier mobility and lifetime, contain high atomic number elements and are solution processible, making them ideal for large‐area direct hard X‐ray imaging. Over the past few years, direct X‐ray detectors based on a variety of perovskites have been developed, showing impressive progress in achieving high sensitivity and low detection limit. Alongside the developments, the underlying correlations between the intrinsic properties of the perovskites and their X‐ray detection performance have been intensively studied, providing valuable information to tackle the remaining challenges, such as large dark current, baseline drifting and so forth. However, it is surprising to find that there have been no efforts to bring together a comprehensive review and comparative analysis on these previous research endeavors, and some general principles and guidelines of engineering the perovskites toward advanced X‐ray detectors have yet to be creamed off. Here, recent advances in engineering perovskites for direct X‐ray detection are reviewed in the hope of providing fundamental understanding of this fast‐developing field. First, the operation principles of direct X‐ray detectors targeting flat‐panel X‐ray imaging will be introduced, particularly relevant to perovskite materials. Then, recent innovative works regarding the preparation and manipulation of single‐crystalline and poly‐crystalline perovskites are discussed in detail, through which specific effects of the intrinsic properties of the perovskite upon X‐ray detection are highlighted. This is followed by a summary of the review and outlook of future directions. image
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Electronic and Structural Properties of Oxides · Advanced Semiconductor Detectors and Materials

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

Affiliations

Guangdong Key Lab of Nano‐Micro Material Research, School of Chemical Biology and Biotechnology, Shenzhen Graduate School Peking University Shenzhen China

Funding

National Natural Science Foundation of China · Shenzhen Peacock Plan

References (100+)

Show source-provided references
1. 10.1038/nphoton.2015.8210.1038/nphoton.2015.82 ↗
2. 10.1109/JPROC.2002.100252910.1109/JPROC.2002.1002529 ↗
3. 10.1038/550047a10.1038/550047a ↗
4. 10.1038/s41586-018-0451-110.1038/s41586-018-0451-1 ↗
5. 10.1038/nature2403210.1038/nature24032 ↗
6. 10.1002/smtd.20200050610.1002/smtd.202000506 ↗
7. 10.1021/acsnano.9b0611410.1021/acsnano.9b06114 ↗
8. 10.1016/j.scib.2017.10.01310.1016/j.scib.2017.10.013 ↗
9. 10.1093/rpd/ncq07410.1093/rpd/ncq074 ↗
10. 10.1118/1.59762810.1118/1.597628 ↗
11. 10.1109/JSEN.2019.295031910.1109/JSEN.2019.2950319 ↗
12. 10.1016/j.cap.2005.11.00110.1016/j.cap.2005.11.001 ↗
13. 10.1038/nphoton.2017.9410.1038/nphoton.2017.94 ↗
14. 10.1109/TNS.2006.87704310.1109/TNS.2006.877043 ↗
15. Investigation of PbI2 film fabricated by a new sedimentation method as an X‐ray conversion material10.1143/JJAP.49.041801 ↗
16. 10.1063/1.299076510.1063/1.2990765 ↗
17. 10.1002/pssb.20030429610.1002/pssb.200304296 ↗
18. 10.1002/adhm.20140007710.1002/adhm.201400077 ↗
19. 10.4103/1450-1147.20307910.4103/1450-1147.203079 ↗
20. 10.1038/s41467-018-04073-310.1038/s41467-018-04073-3 ↗
21. 10.1007/978-3-319-48933-9_4510.1007/978-3-319-48933-9_45 ↗
22. 10.1088/1748-0221/6/12/C1200910.1088/1748-0221/6/12/C12009 ↗
23. 10.1038/s41467-019-08981-w10.1038/s41467-019-08981-w ↗
24. 10.3390/s11050511210.3390/s110505112 ↗
25. 10.1002/solr.20190021010.1002/solr.201900210 ↗
26. 10.1063/1.512599910.1063/1.5125999 ↗
27. 10.1088/1674-4926/41/5/05120410.1088/1674-4926/41/5/051204 ↗
28. 10.1021/acsami.9b2315810.1021/acsami.9b23158 ↗
29. 10.1016/j.jechem.2020.02.04910.1016/j.jechem.2020.02.049 ↗
30. 10.1088/0022-3727/33/21/32610.1088/0022-3727/33/21/326 ↗
31. 10.1038/s41467-019-09968-310.1038/s41467-019-09968-3 ↗
32. 10.1038/nphoton.2016.5410.1038/nphoton.2016.54 ↗
33. 10.1088/1361-6528/ab59ed10.1088/1361-6528/ab59ed ↗
34. 10.1116/1.58223710.1116/1.582237 ↗
35. Hendee WR · 2003
36. Evans RD · 1955
37. 10.1126/sciadv.aay081510.1126/sciadv.aay0815 ↗
38. BergerMJ HubbellJH SeltzerSM et al. NIST Standard Reference Database 8 (XGAM).https://www.nist.gov/pml/xcom-photon-cross-sections-database.
39. 10.1063/1.165648410.1063/1.1656484 ↗
40. 10.1016/0022-3697(61)90001-410.1016/0022-3697(61)90001-4 ↗
41. 10.1016/0038-1101(61)90054-510.1016/0038-1101(61)90054-5 ↗
42. 10.1016/j.nima.2006.05.08510.1016/j.nima.2006.05.085 ↗
43. 10.1038/nphoton.2016.4110.1038/nphoton.2016.41 ↗
44. 10.1002/adma.20190440510.1002/adma.201904405 ↗
45. 10.1038/s41566-019-0466-710.1038/s41566-019-0466-7 ↗
46. 10.1038/s41566-017-0012-410.1038/s41566-017-0012-4 ↗
47. 10.1039/C9TC05490A10.1039/C9TC05490A ↗
48. 10.1002/adma.20120028310.1002/adma.201200283 ↗
49. 10.1016/j.jnoncrysol.2011.12.09310.1016/j.jnoncrysol.2011.12.093 ↗
50. 10.1038/nnano.2012.18710.1038/nnano.2012.187 ↗
51. 10.1038/nphoton.2017.4310.1038/nphoton.2017.43 ↗
52. 10.1002/adma.20140511610.1002/adma.201405116 ↗
53. 10.1002/smll.20170210710.1002/smll.201702107 ↗
54. 10.1021/jz502039k10.1021/jz502039k ↗
55. 10.1002/adfm.20191064810.1002/adfm.201910648 ↗
56. 10.1002/adfm.20190023410.1002/adfm.201900234 ↗
57. 10.1002/adma.20150009910.1002/adma.201500099 ↗
58. 10.1002/anie.20191128110.1002/anie.201911281 ↗
59. 10.1038/nmat492710.1038/nmat4927 ↗
60. 10.1063/1.489905110.1063/1.4899051 ↗
61. 10.1021/acs.accounts.5b0042010.1021/acs.accounts.5b00420 ↗
62. 10.1021/acsenergylett.8b0004710.1021/acsenergylett.8b00047 ↗
63. 10.1002/solr.20190014010.1002/solr.201900140 ↗
64. The working principle of hybrid perovskite gamma‐ray photon counter
65. 10.1049/ip-cds:2003066310.1049/ip-cds:20030663 ↗
66. 10.1109/JSEN.2015.239795310.1109/JSEN.2015.2397953 ↗
67. 10.1109/JSEN.2009.203438610.1109/JSEN.2009.2034386 ↗
68. 10.1016/j.matt.2020.04.01710.1016/j.matt.2020.04.017 ↗
69. 10.1002/anie.20190981510.1002/anie.201909815 ↗
70. 10.1021/acs.jpclett.0c0077010.1021/acs.jpclett.0c00770 ↗
71. 10.1002/adma.20190164410.1002/adma.201901644 ↗
72. 10.1038/nphoton.2007.14710.1038/nphoton.2007.147 ↗
73. 10.1038/nature0485510.1038/nature04855 ↗
74. 10.1021/ph500227u10.1021/ph500227u ↗
75. 10.1063/1.279564910.1063/1.2795649 ↗
76. 10.1126/science.aaa272510.1126/science.aaa2725 ↗
77. 10.1039/C7CC07154J10.1039/C7CC07154J ↗
78. 10.1246/cl.16041910.1246/cl.160419 ↗
79. 10.1002/adfm.20180698410.1002/adfm.201806984 ↗
80. 10.1021/acsami.9b1477210.1021/acsami.9b14772 ↗
81. 10.1002/aenm.20170103810.1002/aenm.201701038 ↗
82. 10.1002/smtd.20190055210.1002/smtd.201900552 ↗
83. 10.1021/acs.chemmater.9b0226310.1021/acs.chemmater.9b02263 ↗
84. 10.1039/C9TC06313G10.1039/C9TC06313G ↗
85. 10.1002/adma.20200198110.1002/adma.202001981 ↗
86. 10.1038/s41467-020-16034-w10.1038/s41467-020-16034-w ↗
87. 10.1021/acsami.8b2160510.1021/acsami.8b21605 ↗
88. 10.1021/acsami.8b1859810.1021/acsami.8b18598 ↗
89. 10.1109/LED.2019.296038410.1109/LED.2019.2960384 ↗
90. 10.1038/s41467-020-15037-x10.1038/s41467-020-15037-x ↗
91. 10.1021/jacs.0c0010110.1021/jacs.0c00101 ↗
92. 10.1021/acsami.9b0284010.1021/acsami.9b02840 ↗
93. 10.1002/adma.20180445010.1002/adma.201804450 ↗
94. 10.1002/adom.20190049110.1002/adom.201900491 ↗
95. 10.1038/s41586-020-2526-z10.1038/s41586-020-2526-z ↗
96. 10.1039/C8TA01049H10.1039/C8TA01049H ↗
97. 10.1021/acs.accounts.6b0049210.1021/acs.accounts.6b00492 ↗
98. 10.1002/adfm.20190234610.1002/adfm.201902346 ↗
99. 10.1021/acsami.9b1464910.1021/acsami.9b14649 ↗
100. 10.1002/pssr.20190009410.1002/pssr.201900094 ↗