journal article·2022-03Open access

Non‐Traditional Positively‐Biased Narrow‐Band Perovskite Single‐Crystal Photodetectors Enabled by Interfacial Engineering

Junchi Li, Yifu Chen, Bin Zhang, Jia Li, Zaheen Uddin, Xinan Jiang, Xueyun Wang, Jiawang Hong, Yongbo Yuan, Elias Stathatos, Hanning Xiao, Anlian Pan, Yi Liu, Bin Yang

Advanced Optical Materials· Volume 10· Issue 5

Abstract

Abstract The positive bias in theory narrows down the depletion region and thus results in significant charge injection, which should be detrimental to charge generation and collection performance for traditional photodetectors. Here, instead, it is found that the external quantum efficiency (EQE) is increased by more than 50 times when the photodetector is positively biased. A positive bias of +6 V drives ion migration of Br− and Cs+ towards the anode and cathode, respectively, leading to self‐doping within bulk single crystals to form an advantageous p‐i‐n junction for better charge collection in the devices. Meanwhile, the injected holes are allowed to tunnel through the cesium lead bromide/fullerene interface to reach the cathode which also significantly contributes to the enhancement of EQE in the forward‐biased devices. The positively‐biased narrow‐band (full width at half maxima (FWHM) = 16 nm) photodetectors exhibit a specific detectivity of 6.5 × 1010 Jones at 550 nm, along with the −3 dB cutoff frequency of 2776 Hz. By manipulating charge injection and ion migration using interfacial engineering, a class of non‐traditional, positively‐biased, and highly narrow‐band photodetectors is demonstrated, which offers an alternative design strategy for imaging, biosensing, automatic control, and optical communication.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Ga2O3 and related materials · Electronic and Structural Properties of Oxides

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

Affiliations

College of Materials Science and Engineering Hunan University Changsha Hunan 410082 China

Hunan Key Laboratory of Super Microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha Hunan 410083 China

Department of Applied Mechanics Beijing Institute of Technology Beijing 100081 China

Department of Electrical and Computer Engineering University of the Peloponnese Patras 26334 Greece

The Molecular Foundry Lawrence Berkeley National Laboratory Berkeley California 94720 USA

Funding

National Natural Science Foundation of China · Hunan Provincial Science and Technology Department · Lawrence Berkeley National Laboratory · U.S. Department of Energy · Basic Energy Sciences

References (56)

Show source-provided references
1. 10.1002/adma.20150540510.1002/adma.201505405 ↗
2. 10.1002/adma.20160119610.1002/adma.201601196 ↗
3. 10.1038/nphoton.2016.6210.1038/nphoton.2016.62 ↗
4. 10.1038/ncomms793810.1038/ncomms7938 ↗
5. 10.1038/ncomms734310.1038/ncomms7343 ↗
6. 10.1063/1.482906510.1063/1.4829065 ↗
7. 10.1002/adfm.20170236010.1002/adfm.201702360 ↗
8. 10.1002/adom.20190205610.1002/adom.201902056 ↗
9. 10.1038/ncomms1542110.1038/ncomms15421 ↗
10. 10.1002/adma.20170218410.1002/adma.201702184 ↗
11. 10.1002/adma.20200555710.1002/adma.202005557 ↗
12. 10.1038/s41467-019-08768-z10.1038/s41467-019-08768-z ↗
13. 10.1126/science.125476310.1126/science.1254763 ↗
14. 10.1126/science.125405010.1126/science.1254050 ↗
15. 10.1038/nnano.2014.14910.1038/nnano.2014.149 ↗
16. 10.1002/adma.20140375110.1002/adma.201403751 ↗
17. 10.1038/ncomms640410.1038/ncomms6404 ↗
18. 10.1002/adma.20140511610.1002/adma.201405116 ↗
19. 10.1002/adma.20140227110.1002/adma.201402271 ↗
20. 10.1002/adma.20200330910.1002/adma.202003309 ↗
21. 10.1002/adom.20200163710.1002/adom.202001637 ↗
22. 10.1038/nphoton.2015.15610.1038/nphoton.2015.156 ↗
23. 10.1021/acs.nanolett.8b0320910.1021/acs.nanolett.8b03209 ↗
24. 10.1021/jacs.5b1325410.1021/jacs.5b13254 ↗
25. 10.1002/adma.20170580110.1002/adma.201705801 ↗
26. 10.1021/jacs.5b0314410.1021/jacs.5b03144 ↗
27. 10.1126/science.aaa576010.1126/science.aaa5760 ↗
28. 10.1038/s41467-019-09538-710.1038/s41467-019-09538-7 ↗
29. 10.1002/adom.20190098810.1002/adom.201900988 ↗
30. 10.1038/s41560-017-0067-y10.1038/s41560-017-0067-y ↗
31. 10.1126/science.aav868010.1126/science.aav8680 ↗
32. 10.1002/adom.20190013910.1002/adom.201900139 ↗
33. 10.1038/s41467-020-16034-w10.1038/s41467-020-16034-w ↗
34. 10.1002/adom.20200107210.1002/adom.202001072 ↗
35. 10.1038/s41467-021-21805-010.1038/s41467-021-21805-0 ↗
36. 10.1038/s41566-020-00727-110.1038/s41566-020-00727-1 ↗
37. 10.1021/acsenergylett.1c0000710.1021/acsenergylett.1c00007 ↗
38. 10.1002/advs.20210348210.1002/advs.202103482 ↗
39. 10.1039/D1TC02314D10.1039/D1TC02314D ↗
40. 10.1039/D0TC05660J10.1039/D0TC05660J ↗
41. 10.1002/adma.20150383210.1002/adma.201503832 ↗
42. 10.1021/acsenergylett.7b0021210.1021/acsenergylett.7b00212 ↗
43. 10.1021/acsnano.6b0279510.1021/acsnano.6b02795 ↗
44. 10.1021/acsnano.7b0629410.1021/acsnano.7b06294 ↗
45. 10.1039/C4EE02465F10.1039/C4EE02465F ↗
46. 10.1021/acs.nanolett.7b0166510.1021/acs.nanolett.7b01665 ↗
47. 10.1021/acsomega.7b0200910.1021/acsomega.7b02009 ↗
48. 10.1002/smtd.20190055210.1002/smtd.201900552 ↗
49. 10.1021/acsami.9b1477210.1021/acsami.9b14772 ↗
50. 10.1021/acs.jpcc.7b0117110.1021/acs.jpcc.7b01171 ↗
51. 10.1021/acs.jpclett.8b0194510.1021/acs.jpclett.8b01945 ↗
52. 10.1021/acs.jpclett.9b0096010.1021/acs.jpclett.9b00960 ↗
53. 10.1002/adma.20170320910.1002/adma.201703209 ↗
54. 10.1002/aenm.20150061510.1002/aenm.201500615 ↗
55. 10.1038/nmat492710.1038/nmat4927 ↗
56. 10.1002/adom.20160070410.1002/adom.201600704 ↗