journal article·2024-07

Effective Strategy for High‐Performance Organic Photodetectors with Significantly Suppressed Dark Current and Improved Responsivity

Shuai Zhang, Tong Liu, Jianxiao Wang, Yongfu Li, Guoqing Lin, Maria Vasilopoulou, Junhao Chu, Qingbo Meng, Xichang Bao

Advanced Optical Materials· Volume 12· Issue 19
Publisher page

Abstract

Abstract Organic photodetectors (OPDs) have attracted immense interest as solution‐processable optical signal‐capturing devices due to their various advantages, such as adjustable response range, excellent weak light response, lightweight, flexibility, and ease of processing on diverse substrates. Low dark current density (Jd) and high responsivity (R) are key requirements necessary for achieving a high specific detectivity (D*). Here, an effective strategy for preparing high‐performance OPDs with potential micro p‐i‐n structure by introducing insulating poly(aryl ether) (PAEN) into the organic photosensitive layer is reported. The PM6:PC71BM‐based OPDs are capable of significantly suppressing Jd while increasing R, which can be attributed to the multiple optimizations of morphology and charge transport caused by the addition of PAEN. As a result, the value of Jd (3.63 × 10−10 A cm−2) is two orders of magnitude lower than that of the device without PAEN (1.00 × 10−8 A cm−2) at −1 V bias. Combined with the increased R of 0.376 A W−1, the optimized device achieves a high D*of 3.45 × 1013 Jones (−1 V at 620 nm). The optimized OPDs demonstrate high performance that is comparable to commercial Si photodetectors (Hamamatsu S1133), paving the way for the direct market development of this cost‐effective organic photodetection technology.
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Research context

OpenAlex topics: Organic Electronics and Photovoltaics · Organic Light-Emitting Diodes Research · Advanced Memory and Neural Computing

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

Affiliations

Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences Qingdao 266101 China

Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China

Laboratory of Solar Energy Shandong Energy Institute Qingdao 266101 China

Qingdao New Energy Shandong Laboratory Qingdao 266101 China

Center for Optics Research and Engineering Shandong University Qingdao 266200 China

Institute of Nanoscience and Nanotechnology National Center for Scientific Research Demokritos Athens 15341 Greece

National Laboratory for Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200000 China

Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences (CAS) Beijing 100190 China

Funding

Natural Science Foundation of Shandong Province · National Natural Science Foundation of China · Shandong Energy Institute, Chinese Academy of Sciences

References (53)

Show source-provided references
1. 10.1002/adom.20200138810.1002/adom.202001388 ↗
2. 10.1002/adma.20220436310.1002/adma.202204363 ↗
3. 10.1002/adma.20210852410.1002/adma.202108524 ↗
4. 10.1002/adma.20231239610.1002/adma.202312396 ↗
5. 10.1002/lpor.20200026210.1002/lpor.202000262 ↗
6. 10.1002/adma.20210296710.1002/adma.202102967 ↗
7. 10.1002/adfm.20210406010.1002/adfm.202104060 ↗
8. 10.1002/adma.20150540510.1002/adma.201505405 ↗
9. 10.1002/admt.20180010410.1002/admt.201800104 ↗
10. 10.1021/acs.chemmater.9b0096610.1021/acs.chemmater.9b00966 ↗
11. 10.1039/C9CS00431A10.1039/C9CS00431A ↗
12. 10.1021/acsami.2c2052710.1021/acsami.2c20527 ↗
13. 10.1016/j.cej.2022.13929510.1016/j.cej.2022.139295 ↗
14. 10.1126/sciadv.adf986110.1126/sciadv.adf9861 ↗
15. 10.1002/smll.20220626210.1002/smll.202206262 ↗
16. 10.1126/sciadv.adg720010.1126/sciadv.adg7200 ↗
17. 10.1126/science.aba262410.1126/science.aba2624 ↗
18. 10.1021/acs.chemrev.3c0054810.1021/acs.chemrev.3c00548 ↗
19. 10.1002/advs.20200241810.1002/advs.202002418 ↗
20. 10.1002/solr.20200013910.1002/solr.202000139 ↗
21. 10.3390/nano1221377510.3390/nano12213775 ↗
22. 10.1016/j.mattod.2021.08.00410.1016/j.mattod.2021.08.004 ↗
23. 10.1002/adfm.20210370510.1002/adfm.202103705 ↗
24. 10.1002/adfm.20190420510.1002/adfm.201904205 ↗
25. 10.1038/s41467-020-20856-z10.1038/s41467-020-20856-z ↗
26. 10.1039/C8TC00270C10.1039/C8TC00270C ↗
27. 10.1002/adfm.20180894810.1002/adfm.201808948 ↗
28. 10.1002/adfm.20180557010.1002/adfm.201805570 ↗
29. 10.1002/adma.20200381810.1002/adma.202003818 ↗
30. 10.1002/adma.20220182710.1002/adma.202201827 ↗
31. 10.1002/adma.20210058210.1002/adma.202100582 ↗
32. 10.1021/acs.accounts.9b0001710.1021/acs.accounts.9b00017 ↗
33. 10.1002/adom.20230255510.1002/adom.202302555 ↗
34. 10.1002/adfm.20200140210.1002/adfm.202001402 ↗
35. 10.1002/adfm.20210802610.1002/adfm.202108026 ↗
36. 10.1021/acsnano.3c0317110.1021/acsnano.3c03171 ↗
37. 10.1002/adma.20190602710.1002/adma.201906027 ↗
38. 10.1038/s41467-022-32845-510.1038/s41467-022-32845-5 ↗
39. 10.1002/aenm.20220161410.1002/aenm.202201614 ↗
40. 10.1021/acsenergylett.1c0157610.1021/acsenergylett.1c01576 ↗
41. 10.1002/aenm.20210239410.1002/aenm.202102394 ↗
42. 10.1002/adfm.20210370510.1002/adfm.202103705 ↗
43. 10.1021/acsenergylett.2c0158610.1021/acsenergylett.2c01586 ↗
44. 10.1016/j.xcrp.2021.10040810.1016/j.xcrp.2021.100408 ↗
45. 10.1002/adma.20210242010.1002/adma.202102420 ↗
46. 10.1039/D1EE01957K10.1039/D1EE01957K ↗
47. 10.1038/s41560-021-00820-x10.1038/s41560-021-00820-x ↗
48. 10.1039/D3EE00186E10.1039/D3EE00186E ↗
49. 10.1039/D2EE03883H10.1039/D2EE03883H ↗
50. 10.1021/acsami.0c2280810.1021/acsami.0c22808 ↗
51. 10.1021/acsami.0c0517210.1021/acsami.0c05172 ↗
52. 10.1021/acsenergylett.6b0000210.1021/acsenergylett.6b00002 ↗
53. 10.1007/s11426-020-9926-x10.1007/s11426-020-9926-x ↗