journal article·2019-10-16

Graphene–Boron Nitride–Graphene Cross-Point Memristors with Three Stable Resistive States

Kaichen Zhu, Xianhu Liang, Bin Yuan, Marco A. Villena, Chao Wen, Tao Wang, Shaochuan Chen, Fei Hui, Yuanyuan Shi, Mario Lanza

ACS Applied Materials & Interfaces· Volume 11· Issue 41
Publisher page

Abstract

Two-dimensional (2D) material-based memristors have shown several properties that are not shown by traditional ones, such as high transparency, robust mechanical strength and flexibility, superb chemical stability, enhanced thermal heat dissipation, ultralow power consumption, coexistence of bipolar and threshold resistive switching, and ultrastable relaxation when used as electronic synapse (among others). However, several electrical performances often required in memristive applications, such as the generation of multiple stable resistive states for high-density information storage, still have never been demonstrated. Here, we present the first 2D material-based memristors that exhibit three stable and well-distinguishable resistive states. By using a multilayer hexagonal boron nitride (h-BN) stack sandwiched by multilayer graphene (G) electrodes, we fabricate 5 μm × 5 μm cross-point Au/Ti/G/h-BN/G/Au memristors that can switch between each two or three resistive states, depending on the current limitation (CL) and reset voltage used. The use of graphene electrodes plus a small cross-point structure are key elements to observe the tristate operation, which has not been observed in larger (100 μm × 100 μm) devices with an identical Au/Ti/G/h-BN/G/Au structure nor in similar small (5 μm × 5 μm) devices without graphene interfacial layers (i.e., Au/Ti/h-BN/Au). Basically, we generate an intermediate state between the high resistive state and the low resistive state (LRS), named soft-LRS (S-LRS), which may be related to the formation of a narrower conductive nanofilament across the h-BN because of the ability of graphene to limit metal penetration (at low CLs). All the 2D materials have been fabricated using the scalable chemical vapor deposition approach, which is an immediate advantage compared to other works using mechanical exfoliated 2D materials.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · MXene and MAX Phase Materials

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

Affiliations

Institute of Functional Nano & Soft Materials, Collaborative Innovation Center for Suzhou Nanoscience and Technology, Soochow University, 215123 Suzhou, China

Departament d’Enginyeria Electrònica i Biomèdica, Universitat de Barcelona, Martí i Franquès 1, E-08028 Barcelona, Spain

Department of Materials Science and Engineering, Guangdong Technion—Israel Institute of Technology, 241 Daxue Road, 515063 Shantou, China

Department of Materials Science and Engineering, Technion—Israel Institute of Technology, 32000 Haifa, Israel

Funding

State Administration of Foreign Experts Affairs · Ministry of Science and Technology of the People's Republic of China · Ministry of Education of the People's Republic of China · Government of Jiangsu Province · Ministry of Finance · National Natural Science Foundation of China · Priority Academic Program Development of Jiangsu Higher Education Institutions · Collaborative Innovation Center of Suzhou Nano Science & Technology · Thousand Talents Plan · Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University

References (40)

Show source-provided references
1. 10.1002/aelm.20180014310.1002/aelm.201800143 ↗
2. 10.1002/adfm.20170038410.1002/adfm.201700384 ↗
3. 10.1016/j.mee.2018.01.00910.1016/j.mee.2018.01.009 ↗
4. 10.1038/ncomms523210.1038/ncomms5232 ↗
5. 10.1038/nmat475610.1038/nmat4756 ↗
6. 10.1109/jproc.2012.219036910.1109/jproc.2012.2190369 ↗
7. International Technology Roadmap for Semiconductors. 2015 Edition, Process Integration, Devices, and Structures Section. www.itrs2.net (accessed Sep 2019).
8. 10.1016/j.sse.2016.07.00610.1016/j.sse.2016.07.006 ↗
9. 10.1080/23746149.2016.125958510.1080/23746149.2016.1259585 ↗
10. 10.1021/acsami.7b0819710.1021/acsami.7b08197 ↗
11. 10.1002/aelm.20160010010.1002/aelm.201600100 ↗
12. 10.1021/ja307933t10.1021/ja307933t ↗
13. 10.1002/anie.20050436510.1002/anie.200504365 ↗
14. 10.1063/1.363335210.1063/1.3633352 ↗
15. Chai, Y.; Wu, Y.; Takei, K.; Chen, H. Y.; Yu, S.; Chan, P. C. H.; Javey, A.; Wong, H.S. P. Resistive Switching of Carbon-Based RRAM with CNT Electrodes for Ultra-Dense Memory. International Electron Devices Meeting San Francisco, CA, 2010; Vol. 9, pp 3.1–9.3.4.
16. 10.1038/nature0974910.1038/nature09749 ↗
17. 10.1002/smll.20110115710.1002/smll.201101157 ↗
18. 10.1038/s41928-018-0118-910.1038/s41928-018-0118-9 ↗
19. 10.1002/aelm.20160019510.1002/aelm.201600195 ↗
20. 10.1038/s41928-018-0021-410.1038/s41928-018-0021-4 ↗
21. 10.1038/ncomms211010.1038/ncomms2110 ↗
22. 10.1002/adfm.20160481110.1002/adfm.201604811 ↗
23. 10.1088/0957-4484/26/5/05530210.1088/0957-4484/26/5/055302 ↗
24. 10.1063/1.369764810.1063/1.3697648 ↗
25. 10.1016/0040-6090(90)90098-x10.1016/0040-6090(90)90098-x ↗
26. 10.1021/nl061702a10.1021/nl061702a ↗
27. 10.1021/acsami.7b1094810.1021/acsami.7b10948 ↗
28. 10.1088/2053-1583/aa712910.1088/2053-1583/aa7129 ↗
29. 10.1088/0022-3727/47/20/20510210.1088/0022-3727/47/20/205102 ↗
30. 10.1007/s10825-017-1074-810.1007/s10825-017-1074-8 ↗
31. 10.1063/1.482429210.1063/1.4824292 ↗
32. Miranda, E.; Suñé, J.; Pan, C.; Villena, M. A.; Xiao, N.; Lanza, M. Equivalent Circuit Model for the Electron Transport in 2D Resistive Switching Material Systems. 47th European Solid-State Device Research Conference (ESSDERC), Leuven, Belgium, 2017; pp 86–89.10.1109/ESSDERC.2017.8066598 ↗
33. 10.1063/1.488150010.1063/1.4881500 ↗
34. 10.1088/0957-4484/22/25/25402210.1088/0957-4484/22/25/254022 ↗
35. 10.1103/physrev.54.64710.1103/physrev.54.647 ↗
36. 10.1038/s41699-018-0050-x10.1038/s41699-018-0050-x ↗
37. 10.1116/1.302582210.1116/1.3025822 ↗
38. Gilmer, D. C.; Bersuker, G.; Park, H. Y.; Park, C.; Butcher, B.; Wang, W.; Kirsch, P. D.; Jammy, R. Effects of RRAM Stack Configuration on Forming Voltage and Current Overshoot. 3rd IEEE International Memory Workshop (IMW), 2011; pp 1–4.10.1109/IMW.2011.5873225 ↗
39. 10.1038/s41928-019-0220-710.1038/s41928-019-0220-7 ↗
40. 10.1007/s12274-013-0326-610.1007/s12274-013-0326-6 ↗