In Situ Resistive Switching Effect Scrutinization on Co‐Designed Graphene Sensor
Source abstract
Abstract
Abstract Resistive switching (RS), an electric property based on the forming and rupture of conductive filaments in metal‐insulator‐metal structures, has attracted intensive attention due to its potential application in next generation energy‐efficient and area‐efficient memory devices. In situ studies of the RS effect are urgently needed for its mechanism understanding and memristive performance improvement. Here investigations of both the RS effect as well as the gate tunable conductance quantization effect are realized by co‐designing an Ag/SiO2 based memory structure on a graphene local sensor. This design enables self‐monitoring of the working states of the memristor in real‐time by virtue of the graphene sensor. These findings pave the way for further investigations of on‐chip electronics and quantum physics.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha 410073 China
Interdisciplinary Nanoscience Center (iNANO) Aarhus University Aarhus C Aarhus DK 8000 Denmark
College of Materials Science and Engineering Sichuan University Chengdu 610065 P. R. China
Funding
National Natural Science Foundation of China · Carlsbergfondet · Villum Fonden · Fundamental Research Funds for the Central Universities
References (45)
Show source-provided references
1. 10.1038/nmat202310.1038/nmat2023 ↗
2. 10.1038/s41928-018-0118-910.1038/s41928-018-0118-9 ↗
3. 10.1038/nmat475610.1038/nmat4756 ↗
4. 10.1038/nmat413510.1038/nmat4135 ↗
5. 10.1126/sciadv.aay237810.1126/sciadv.aay2378 ↗
6. 10.1038/s41928-018-0021-410.1038/s41928-018-0021-4 ↗
7. 10.1038/nnano.2008.16010.1038/nnano.2008.160 ↗
8. Yu H. · Small · 2020
9. 10.1038/s41578-019-0159-310.1038/s41578-019-0159-3 ↗
10. 10.1002/adma.20090037510.1002/adma.200900375 ↗
11. 10.1038/s41586-019-1159-610.1038/s41586-019-1159-6 ↗
12. 10.1021/acsnano.6b0457810.1021/acsnano.6b04578 ↗
13. 10.1002/adma.20170519310.1002/adma.201705193 ↗
14. 10.1002/adma.20160329310.1002/adma.201603293 ↗
15. 10.1038/ncomms338210.1038/ncomms3382 ↗
16. 10.1021/nl500049g10.1021/nl500049g ↗
17. 10.1038/ncomms1517310.1038/ncomms15173 ↗
18. 10.1021/acs.nanolett.9b0527210.1021/acs.nanolett.9b05272 ↗
19. 10.1021/acs.nanolett.5b0090110.1021/acs.nanolett.5b00901 ↗
20. 10.1038/ncomms625910.1038/ncomms6259 ↗
21. 10.1002/smll.20130376810.1002/smll.201303768 ↗
22. 10.1126/science.110289610.1126/science.1102896 ↗
23. 10.1038/nphoton.2017.7510.1038/nphoton.2017.75 ↗
24. 10.1021/acs.nanolett.7b0434210.1021/acs.nanolett.7b04342 ↗
25. 10.1021/nl500443j10.1021/nl500443j ↗
26. 10.1021/nl803144410.1021/nl8031444 ↗
27. Giovannetti G. · Phys. Rev. Lett. · 2008 · 101 · 4
28. 10.1002/adma.20140535310.1002/adma.201405353 ↗
29. 10.1002/smll.20160311610.1002/smll.201603116 ↗
30. 10.1063/1.217201210.1063/1.2172012 ↗
31. 10.1038/s41928-020-0416-x10.1038/s41928-020-0416-x ↗
32. 10.1038/s41467-018-04934-x10.1038/s41467-018-04934-x ↗
33. 10.1063/1.481674710.1063/1.4816747 ↗
34. 10.1186/s11671-015-1118-610.1186/s11671-015-1118-6 ↗
35. 10.1002/adma.20120150610.1002/adma.201201506 ↗
36. 10.1038/srep0270810.1038/srep02708 ↗
37. 10.1080/1478643700823847210.1080/14786437008238472 ↗
38. 10.1109/TNANO.2015.241177410.1109/TNANO.2015.2411774 ↗
39. 10.1038/nature0319010.1038/nature03190 ↗
40. 10.1088/0957-4484/23/14/14570310.1088/0957-4484/23/14/145703 ↗
41. Nagashio K. · 2009
42. 10.1016/j.diamond.2012.01.01910.1016/j.diamond.2012.01.019 ↗
43. 10.1038/natrevmats.2016.4210.1038/natrevmats.2016.42 ↗
44. 10.1038/nmat470310.1038/nmat4703 ↗
45. 10.1038/s41565-020-0724-310.1038/s41565-020-0724-3 ↗