Sensing and Memory Integrated X-ray Detector Made of Hydrion-Conductive Perovskite with Anisotropic Response
Source abstract
Abstract
X-ray detectors that integrate sensing and memory into a single system can effectively reduce the data volume, providing more space for improving the detection sensitivity and spatial resolution. However, materials that can simultaneously detect X-rays and store the information were lacking. Inspired by the principles of neural system functioning in biology, we created reconfigurable internal polarity in hydrion-conductive perovskites utilizing protons migrating along hydrogen-bond networks by disrupting and reforming hydrogen bonds. The pronounced anisotropy of low-dimensional perovskite optimized carrier migration pathways and effectively suppressed cross-talk between proton and photoinduced carriers in the transverse direction, thereby enabling efficient detection and memory. The assembled X-ray detector exhibited sensitive X-ray response with extra-high resistivity (1.17 × 10 13 Ω cm), which is the highest among all of the memory materials while maintaining extended retention time (91 s). This innovative perovskite material can seamlessly integrate X-ray sensing and memory into a single device unit, effectively solving the challenges of data memory and X-ray recognition efficiency.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Perovskite Materials and Applications · Advanced Semiconductor Detectors and Materials · Radiation Detection and Scintillator Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Engineering
Wuhan University of Technology
Laboratoire des Verres et Ce′ramiques, UMR-CNRS 6226, Sciences chimiques de Rennes
Universite′ de Rennes 1
Chaozhou Branch of Chemistry and Chemical Engineering Guangdong Laboratory
Hubei Technology Innovation Center for Advanced Composites
Funding
Basic and Applied Basic Research Foundation of Guangdong Province · National Natural Science Foundation of China
References (53)
Show source-provided references
1. 10.1002/adfm.20210945810.1002/adfm.202109458 ↗
2. 10.1002/lpor.20230000610.1002/lpor.202300006 ↗
3. 10.1002/adfm.20191064810.1002/adfm.201910648 ↗
4. 10.1016/j.mattod.2021.01.02810.1016/j.mattod.2021.01.028 ↗
5. 10.1002/smtd.20200050610.1002/smtd.202000506 ↗
6. 10.1038/s43586-021-00015-410.1038/s43586-021-00015-4 ↗
7. Popov, M.; Shishova, M.; Romanov, A.USB 3.0 based heterogeneous data high-speed transfer subsystem. 2023 International Ural Conference on Electrical Power Engineering (UralCon) 2023, pp 200–204.10.1109/UralCon59258.2023.10291116 ↗
8. 10.1016/j.eng.2022.01.00910.1016/j.eng.2022.01.009 ↗
9. 10.1038/s41467-024-46184-010.1038/s41467-024-46184-0 ↗
10. 10.1038/s41586-021-04362-w10.1038/s41586-021-04362-w ↗
11. 10.1038/s41566-020-00754-y10.1038/s41566-020-00754-y ↗
12. 10.1126/sciadv.aba617310.1126/sciadv.aba6173 ↗
13. 10.1038/s41928-022-00747-510.1038/s41928-022-00747-5 ↗
14. 10.1038/s41928-020-00466-910.1038/s41928-020-00466-9 ↗
15. 10.1109/JSEN.2019.295031910.1109/JSEN.2019.2950319 ↗
16. 10.1002/pssb.20030429610.1002/pssb.200304296 ↗
17. 10.1126/science.abj794310.1126/science.abj7943 ↗
18. 10.1038/s41928-020-0433-910.1038/s41928-020-0433-9 ↗
19. 10.1038/nphoton.2017.9410.1038/nphoton.2017.94 ↗
20. 10.1126/sciadv.adh225510.1126/sciadv.adh2255 ↗
21. 10.1038/nature2403210.1038/nature24032 ↗
22. 10.1002/anie.20200416010.1002/anie.202004160 ↗
23. 10.1002/adma.20220887510.1002/adma.202208875 ↗
24. 10.1002/adma.20200379010.1002/adma.202003790 ↗
25. 10.1002/adma.20230958810.1002/adma.202309588 ↗
26. 10.1021/acsnano.3c0738410.1021/acsnano.3c07384 ↗
27. 10.1038/s41928-020-00510-810.1038/s41928-020-00510-8 ↗
28. 10.1016/0167-2738(83)90025-510.1016/0167-2738(83)90025-5 ↗
29. 10.7498/aps.68.2019085310.7498/aps.68.20190853 ↗
30. 10.1038/nmat415010.1038/nmat4150 ↗
31. 10.1002/adma.20150229410.1002/adma.201502294 ↗
32. 10.1038/ncomms678410.1038/ncomms6784 ↗
33. 10.1039/C4EE03664F10.1039/C4EE03664F ↗
34. 10.1039/C4EE02465F10.1039/C4EE02465F ↗
35. 10.1039/C4EE04064C10.1039/C4EE04064C ↗
36. 10.1016/j.mtener.2024.10164410.1016/j.mtener.2024.101644 ↗
37. 10.1038/nature1401510.1038/nature14015 ↗
38. 10.1021/cm902388710.1021/cm9023887 ↗
39. 10.1021/acsenergylett.3c0257110.1021/acsenergylett.3c02571 ↗
40. 10.1002/anie.20191128110.1002/anie.201911281 ↗
41. 10.1002/eem2.1248710.1002/eem2.12487 ↗
42. 10.1002/adma.20231366310.1002/adma.202313663 ↗
43. 10.1038/s41467-021-22047-w10.1038/s41467-021-22047-w ↗
44. 10.1002/adfm.20190668610.1002/adfm.201906686 ↗
45. 10.1039/D3TC00583F10.1039/D3TC00583F ↗
46. 10.1002/adfm.20230694510.1002/adfm.202306945 ↗
47. 10.1002/aelm.20240051210.1002/aelm.202400512 ↗
48. 10.1088/2752-5724/ace3dc10.1088/2752-5724/ace3dc ↗
49. 10.1002/admt.20220177210.1002/admt.202201772 ↗
50. 10.1038/nmat305410.1038/nmat3054 ↗
51. 10.1021/nn202983n10.1021/nn202983n ↗
52. 10.1038/s41377-024-01642-810.1038/s41377-024-01642-8 ↗
53. 10.1002/adfm.20220909110.1002/adfm.202209091 ↗