journal article·2026-01

Trap Induced Negative Response in Cs 2 AgBiBr 6 Photodetectors for In‐Memory Sensing and Computing

Mengrou Wang, Xin Wang, Ziyu Wei, Wenbo Jia, Zhiwei Zhao, Qing Li, Jun Wu, Jing Chen, Zhuoya Zhu, Damian Chinedu Onwudiwe, Byung Seong Bae, Mehmet ERTUĞRUL, Jianming Zhou, Wei Lei

Advanced Optical Materials· Volume 14· Issue 2
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Abstract

Abstract In‐memory sensing and computing always used optoelectronic memristors for storage and calculation. Double photoelectric states are needed in integration in optoelectronic memristors. In this work, all‐inorganic lead‐free double perovskite Cs 2 AgBiBr 6 (CABB) has been used as a photon absorber. To obtain double photoelectric states for possible application, surface traps in CAAB film provide the possibility. Simultaneous emergence of diverse state with both positive photoconductivity (PPC) and negative photoconductivity (NPC) effects satisfies the artificial‐intelligent sensor demands, which integrate memory and computation in single device, presenting extraordinary modern computing potential. Under 400 nm illumination, CABB film sensor presents PPC‐effects, where photocurrent enlarges as light intensity increases, which PPC responsivity is 0.85 A W −1 . However, under 520 nm illumination, it presents NPC‐effects, where photocurrent decreases as light intensity increases, which NPC responsivity is 0.24 A W −1 . As experimental characterization and numerical simulation shows, NPC is originated from space‐charges accumulation in trap‐states at the interface of CABB and ITO. Traps attract holes and impede electron transfer, reducing carrier concentration and carrier mobility, then enhancing NPC performance. Double effects provide possibility in optoelectronic memristor, where a process of image encryption and operator mapping for calculation are shown in this work, possessing remarkable prospects and providing opportunities for photonic‐chips development.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Perovskite Materials and Applications · 2D Materials and Applications

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

Affiliations

Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and Engineering Southeast University Nanjing 210096 China

Department of Chemistry School of Mathematics and Physical Sciences Faculty of Natural and Agricultural Sciences North‐West University Mafikeng Campus Private Bag X2046 Mmabatho 2735 South Africa

Department of Electronics &Display Engineering Hoseo University Hoseo Ro 79 Asan Chungnam 31499 Republic of Korea

Faculty of Engineering Metallurgical and Materials Engineering Karadeniz Technical University Trabzon 61080 Turkiye

E‐xray Electronic Co. Ltd. Suzhou 215143 China

Funding

National Key Research and Development Program of China

References (58)

Show source-provided references
1. 10.1038/s41928-025-01340-210.1038/s41928-025-01340-2 ↗
2. 10.1016/j.xinn.2023.10043510.1016/j.xinn.2023.100435 ↗
3. 10.1038/s41467-025-56617-z10.1038/s41467-025-56617-z ↗
4. 10.1007/s40820-023-01273-510.1007/s40820-023-01273-5 ↗
5. 10.1007/s40820-023-01254-810.1007/s40820-023-01254-8 ↗
6. 10.1007/s40820-024-01417-110.1007/s40820-024-01417-1 ↗
7. 10.1002/aenm.20220148210.1002/aenm.202201482 ↗
8. 10.1002/adma.20200555710.1002/adma.202005557 ↗
9. 10.1021/acsnano.2c0107410.1021/acsnano.2c01074 ↗
10. 10.1038/s41377-022-00739-210.1038/s41377-022-00739-2 ↗
11. 10.1002/adfm.20210572210.1002/adfm.202105722 ↗
12. 10.1002/adma.20230570910.1002/adma.202305709 ↗
13. 10.1002/advs.20230987610.1002/advs.202309876 ↗
14. 10.1039/D4MH00070F10.1039/D4MH00070F ↗
15. 10.1038/s41467-024-52377-410.1038/s41467-024-52377-4 ↗
16. 10.1021/acs.nanolett.7b0342910.1021/acs.nanolett.7b03429 ↗
17. 10.1002/smll.20170329310.1002/smll.201703293 ↗
18. 10.1126/sciadv.aav343010.1126/sciadv.aav3430 ↗
19. 10.1002/adma.20231254110.1002/adma.202312541 ↗
20. 10.1002/adom.20190115410.1002/adom.201901154 ↗
21. 10.1002/adma.20150080410.1002/adma.201500804 ↗
22. 10.1002/adom.20230105510.1002/adom.202301055 ↗
23. 10.1002/smll.20230675810.1002/smll.202306758 ↗
24. 10.1002/adma.20240158510.1002/adma.202401585 ↗
25. 10.1063/5.005546810.1063/5.0055468 ↗
26. 10.1021/acs.nanolett.7b0278810.1021/acs.nanolett.7b02788 ↗
27. 10.1002/adom.20200020110.1002/adom.202000201 ↗
28. 10.1002/adfm.20240218510.1002/adfm.202402185 ↗
29. 10.1016/j.jcis.2024.10.19010.1016/j.jcis.2024.10.190 ↗
30. 10.1002/smll.20230333510.1002/smll.202303335 ↗
31. 10.1007/s12274-022-5086-810.1007/s12274-022-5086-8 ↗
32. 10.1016/j.apsusc.2023.15839710.1016/j.apsusc.2023.158397 ↗
33. 10.1002/advs.20220538310.1002/advs.202205383 ↗
34. 10.1002/adfm.20240642410.1002/adfm.202406424 ↗
35. 10.1002/adom.20240027710.1002/adom.202400277 ↗
36. 10.1002/adfm.20210589810.1002/adfm.202105898 ↗
37. 10.1007/s12274-024-6786-z10.1007/s12274-024-6786-z ↗
38. 10.1126/sciadv.abd316010.1126/sciadv.abd3160 ↗
39. 10.1002/cphc.20180034610.1002/cphc.201800346 ↗
40. 10.1016/j.mssp.2020.10554110.1016/j.mssp.2020.105541 ↗
41. 10.1002/smll.20210140310.1002/smll.202101403 ↗
42. 10.1038/s41377-024-01642-810.1038/s41377-024-01642-8 ↗
43. 10.1038/ncomms640410.1038/ncomms6404 ↗
44. 10.1002/smll.20240837910.1002/smll.202408379 ↗
45. 10.1002/adfm.20240218510.1002/adfm.202402185 ↗
46. 10.1021/acsami.4c0253910.1021/acsami.4c02539 ↗
47. 10.1002/adfm.20240288410.1002/adfm.202402884 ↗
48. 10.1002/adom.20230148810.1002/adom.202301488 ↗
49. 10.1002/adom.20230214910.1002/adom.202302149 ↗
50. 10.1007/s12274-024-6422-y10.1007/s12274-024-6422-y ↗
51. 10.1002/adma.20240469410.1002/adma.202404694 ↗
52. 10.1039/D1TC01786A10.1039/D1TC01786A ↗
53. 10.1016/j.cej.2022.13719710.1016/j.cej.2022.137197 ↗
54. 10.1038/s41565-021-01003-110.1038/s41565-021-01003-1 ↗
55. 10.1021/acs.nanolett.4c0382810.1021/acs.nanolett.4c03828 ↗
56. 10.1038/s41566-017-0012-410.1038/s41566-017-0012-4 ↗
57. 10.1021/jacs.5b1329410.1021/jacs.5b13294 ↗
58. 10.1039/C7TA06816F10.1039/C7TA06816F ↗