journal article·2022-12

Circuit‐Level Memory Technologies and Applications based on 2D Materials

Jiahui Ma, Hefei Liu, Ning Yang, Jingyi Zou, Sen Lin, Yuhao Zhang, Xu Zhang, Jing Guo, Han Wang

Advanced Materials· Volume 34· Issue 48
Publisher page

Abstract

Abstract Memory technologies and applications implemented fully or partially using emerging 2D materials have attracted increasing interest in the research community in recent years. Their unique characteristics provide new possibilities for highly integrated circuits with superior performances and low power consumption, as well as special functionalities. Here, an overview of progress in 2D‐material‐based memory technologies and applications on the circuit level is presented. In the material growth and fabrication aspects, the advantages and disadvantages of various methods for producing large‐scale 2D memory devices are discussed. Reports on 2D‐material‐based integrated memory circuits, from conventional dynamic random‐access memory, static random‐access memory, and flash memory arrays, to emerging memristive crossbar structures, all the way to 3D monolithic stacking architecture, are systematically reviewed. Comparisons between experimental implementations and theoretical estimations for different integration architectures are given in terms of the critical parameters in 2D memory devices. Attempts to use 2D memory arrays for in‐memory computing applications, mostly on logic‐in‐memory and neuromorphic computing, are summarized here. Finally, challenges that impede the large‐scale applications of 2D‐material‐based memory are reviewed, and perspectives on possible approaches toward a more reliable system‐level fabrication are also given, hopefully shedding some light on future research.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · 2D Materials and Applications · Ferroelectric and Negative Capacitance Devices

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

Affiliations

Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles CA 90089 USA

Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 USA

Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

Center for Power Electronics Systems Virginia Polytechnic Institute and State University Blacksburg VA 24060 USA

Mork Family Department of Chemical Engineering and Materials Science University of Southern California Los Angeles CA 90089 USA

Funding

Army Research Office · National Science Foundation

References (100+)

Show source-provided references
1. Itoh K. · 2013
2. Brewer J. · 2011
3. 10.1142/S012915641740001810.1142/S0129156417400018 ↗
4. 10.1038/nnano.2015.2910.1038/nnano.2015.29 ↗
5. 10.1109/JPROC.2012.219036910.1109/JPROC.2012.2190369 ↗
6. 10.1038/nnano.2008.16010.1038/nnano.2008.160 ↗
7. 10.1109/5.84916410.1109/5.849164 ↗
8. 10.1002/adma.20150003910.1002/adma.201500039 ↗
9. 10.1038/s41565-019-0501-310.1038/s41565-019-0501-3 ↗
10. 10.1109/JPROC.2010.207005010.1109/JPROC.2010.2070050 ↗
11. 10.1109/JPROC.2008.200431310.1109/JPROC.2008.2004313 ↗
12. S. P.Park S.Gupta N.Mojumder A.Raghunathan K.Roy inProc. 49th Annual Design Automation Conf. Association for Computing Machinery New York2012 pp. 492–497.10.1145/2228360.2228447 ↗
13. 10.1002/aelm.20160009010.1002/aelm.201600090 ↗
14. 10.1109/TNNLS.2019.289926210.1109/TNNLS.2019.2899262 ↗
15. 10.1038/s41563-019-0291-x10.1038/s41563-019-0291-x ↗
16. Shulaker M. M. · 2015
17. Ebrahimi M. S. · 2014
18. 10.1145/1941487.194150710.1145/1941487.1941507 ↗
19. 10.1109/T-C.1969.22275410.1109/T-C.1969.222754 ↗
20. 10.1080/23746149.2016.125958510.1080/23746149.2016.1259585 ↗
21. 10.1038/s41467-018-04933-y10.1038/s41467-018-04933-y ↗
22. 10.1088/2634-4386/ac4a8310.1088/2634-4386/ac4a83 ↗
23. C. D.Schuman T. E.Potok R. M.Patton J. D.Birdwell M. E.Dean G. S.Rose J. S.Plank arXiv: 1705.06963v1 2017.
24. 10.1002/aelm.20160036410.1002/aelm.201600364 ↗
25. 10.1002/advs.20170023110.1002/advs.201700231 ↗
26. 10.1039/C8CS00561C10.1039/C8CS00561C ↗
27. 10.1021/nn303772b10.1021/nn303772b ↗
28. 10.1021/nn400280c10.1021/nn400280c ↗
29. 10.1038/nphoton.2014.27110.1038/nphoton.2014.271 ↗
30. 10.1039/C9MH02033K10.1039/C9MH02033K ↗
31. 10.1038/s41699-020-00162-410.1038/s41699-020-00162-4 ↗
32. 10.1038/nnano.2012.19310.1038/nnano.2012.193 ↗
33. 10.1002/aelm.20190081810.1002/aelm.201900818 ↗
34. 10.1038/s41565-019-0438-610.1038/s41565-019-0438-6 ↗
35. 10.1021/acsphotonics.0c0122410.1021/acsphotonics.0c01224 ↗
36. 10.1038/nature1238510.1038/nature12385 ↗
37. 10.1126/science.aac943910.1126/science.aac9439 ↗
38. 10.1038/nmat421810.1038/nmat4218 ↗
39. Huyghebaert C. · 2018
40. Alaskar Y. · 2016
41. 10.1088/0957-4484/24/47/47520210.1088/0957-4484/24/47/475202 ↗
42. 10.1063/1.500213810.1063/1.5002138 ↗
43. 10.1038/nmat470310.1038/nmat4703 ↗
44. 10.1038/s41565-020-0647-z10.1038/s41565-020-0647-z ↗
45. 10.1002/smll.20160399410.1002/smll.201603994 ↗
46. 10.1146/annurev-matsci-070214-02090110.1146/annurev-matsci-070214-020901 ↗
47. 10.1002/smll.20210538310.1002/smll.202105383 ↗
48. 10.1126/science.110289610.1126/science.1102896 ↗
49. 10.1038/nnano.2010.27910.1038/nnano.2010.279 ↗
50. 10.1002/smll.20100162810.1002/smll.201001628 ↗
51. 10.1038/s41467-020-16266-w10.1038/s41467-020-16266-w ↗
52. 10.1126/science.aba141610.1126/science.aba1416 ↗
53. 10.1126/science.aat812610.1126/science.aat8126 ↗
54. 10.1038/s41586-018-0626-910.1038/s41586-018-0626-9 ↗
55. 10.1126/science.aax815610.1126/science.aax8156 ↗
56. 10.1002/adma.20210337610.1002/adma.202103376 ↗
57. 10.1126/science.121846110.1126/science.1218461 ↗
58. 10.1038/s41928-021-00566-010.1038/s41928-021-00566-0 ↗
59. 10.1038/nnano.2010.13210.1038/nnano.2010.132 ↗
60. 10.1021/acs.nanolett.6b0105110.1021/acs.nanolett.6b01051 ↗
61. 10.1002/adma.20110479810.1002/adma.201104798 ↗
62. 10.1002/smll.20110265410.1002/smll.201102654 ↗
63. 10.1021/nl204361210.1021/nl2043612 ↗
64. 10.1038/s41928-020-00473-w10.1038/s41928-020-00473-w ↗
65. 10.1038/nature2574710.1038/nature25747 ↗
66. 10.1002/adfm.20200368310.1002/adfm.202003683 ↗
67. 10.1088/1361-6528/aa695810.1088/1361-6528/aa6958 ↗
68. 10.1021/acsnano.7b0705910.1021/acsnano.7b07059 ↗
69. 10.1038/nature1441710.1038/nature14417 ↗
70. 10.1038/s41586-020-2861-010.1038/s41586-020-2861-0 ↗
71. 10.1021/acs.nanolett.7b0434210.1021/acs.nanolett.7b04342 ↗
72. 10.1038/srep0212610.1038/srep02126 ↗
73. 10.1063/1.338781210.1063/1.3387812 ↗
74. 10.1021/ja109793s10.1021/ja109793s ↗
75. 10.1088/2053-1583/3/3/03500110.1088/2053-1583/3/3/035001 ↗
76. 10.1021/nn503412w10.1021/nn503412w ↗
77. 10.1038/s41565-021-00963-810.1038/s41565-021-00963-8 ↗
78. 10.1038/nnano.2017.10010.1038/nnano.2017.100 ↗
79. 10.1021/acs.chemmater.0c0311210.1021/acs.chemmater.0c03112 ↗
80. 10.1016/j.tsf.2019.13750010.1016/j.tsf.2019.137500 ↗
81. 10.1002/adma.20210825810.1002/adma.202108258 ↗
82. 10.1002/adma.20180154810.1002/adma.201801548 ↗
83. 10.1021/acsnano.6b0163610.1021/acsnano.6b01636 ↗
84. 10.1039/C8NR01139G10.1039/C8NR01139G ↗
85. 10.1039/C6TC01602B10.1039/C6TC01602B ↗
86. 10.1039/C8NA00126J10.1039/C8NA00126J ↗
87. 10.1002/aelm.20190074010.1002/aelm.201900740 ↗
88. 10.1038/nnano.2016.28110.1038/nnano.2016.281 ↗
89. 10.1002/smll.20150382710.1002/smll.201503827 ↗
90. 10.1002/adma.20090326710.1002/adma.200903267 ↗
91. 10.1002/adfm.20150273410.1002/adfm.201502734 ↗
92. 10.1002/adfm.20160274810.1002/adfm.201602748 ↗
93. 10.1021/acsnano.6b0866810.1021/acsnano.6b08668 ↗
94. 10.1002/adma.20160239110.1002/adma.201602391 ↗
95. 10.1038/s41928-021-00684-910.1038/s41928-021-00684-9 ↗
96. 10.1002/adma.20180123210.1002/adma.201801232 ↗
97. 10.1039/C9NR00747D10.1039/C9NR00747D ↗
98. 10.1021/acsnano.0c0892110.1021/acsnano.0c08921 ↗
99. 10.1002/adma.20180356310.1002/adma.201803563 ↗
100. 10.1038/nmat413510.1038/nmat4135 ↗