Sophisticated Conductance Control and Multiple Synapse Functions in TiO2‐Based Multistack‐Layer Crossbar Array Memristor for High‐Performance Neuromorphic Systems
Source abstract
Abstract
Abstract In this study, oxygen‐rich TiOy and TiOx layers are intentionally designed to have different oxygen compositions, functioning as an overshoot suppression layer (OSL) and oxygen reservoirs. Furthermore, by natural oxidation reactions occurring between the TiOy/TiOx/Al2O3 switching layer and the Pt/Al top electrode, an additional AlOy layer can be induced to act as an additional OSL. The proposed annealing process accelerates the oxidation reaction of AlOy/TiOy OSLs, thereby enhancing the self‐compliance feature of devices. Moreover, the ultrathin AlN serves as an oxygen barrier layer (OBL) that inhibits the movement of oxygen ions at the interface between the Al2O3 layer and the Pt/Ti bottom electrode. The optimized devices are tested by DC sweep and pulses for neuromorphic computing systems. To realize biological synapse characteristics, several key synaptic memory plasticities are proposed. Finally, a 24 × 24 crossbar array based on the 0T‐1R structure, incorporating optimized AlOy/TiOy OSLs and OBL via the annealing process, is characterized. During the electroforming step, all specified target cells (marked with the letters “ESDL”) achieved self‐compliance at low current levels without experiencing hard‐breakdown failures or interference among neighboring cells. The successful array performance is demonstrated by the accurate tuning of target weights.
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
Division of Electronics and Electrical Engineering Dongguk University Seoul 04620 Republic of Korea
Department of AI Semiconductor Engineering Korea University Sejong 30019 Republic of Korea
Funding
National Research Foundation of Korea · Ministry of Science and ICT, South Korea
References (80)
Show source-provided references
1. 10.1016/j.nanoen.2023.10916810.1016/j.nanoen.2023.109168 ↗
2. 10.1002/adfm.20231019310.1002/adfm.202310193 ↗
3. 10.1016/j.mssp.2017.08.03310.1016/j.mssp.2017.08.033 ↗
4. 10.1088/2631-7990/ad157510.1088/2631-7990/ad1575 ↗
5. 10.1002/admt.20240005010.1002/admt.202400050 ↗
6. 10.1039/D3NR01294H10.1039/D3NR01294H ↗
7. 10.1063/5.010017310.1063/5.0100173 ↗
8. 10.1002/adma.20220065910.1002/adma.202200659 ↗
9. 10.1038/nnano.2012.24010.1038/nnano.2012.240 ↗
10. 10.1038/s41565-020-0655-z10.1038/s41565-020-0655-z ↗
11. 10.1038/s41563-019-0291-x10.1038/s41563-019-0291-x ↗
12. 10.1038/nmat475610.1038/nmat4756 ↗
13. 10.1038/s41467-018-04484-210.1038/s41467-018-04484-2 ↗
14. 10.1038/ncomms1519910.1038/ncomms15199 ↗
15. 10.1038/nnano.2017.8310.1038/nnano.2017.83 ↗
16. 10.1038/s41928-018-0039-710.1038/s41928-018-0039-7 ↗
17. 10.1021/acs.nanolett.7b0055210.1021/acs.nanolett.7b00552 ↗
18. 10.1038/s41928-019-0221-610.1038/s41928-019-0221-6 ↗
19. 10.1088/1361-6528/ac765110.1088/1361-6528/ac7651 ↗
20. 10.1016/j.mser.2014.06.00210.1016/j.mser.2014.06.002 ↗
21. 10.1039/C6NR02029A10.1039/C6NR02029A ↗
22. 10.1021/nl203687n10.1021/nl203687n ↗
23. 10.1002/adfm.20130352010.1002/adfm.201303520 ↗
24. 10.1002/adfm.20170201010.1002/adfm.201702010 ↗
25. 10.1088/0957-4484/27/48/48520110.1088/0957-4484/27/48/485201 ↗
26. 10.1016/j.jallcom.2021.16104110.1016/j.jallcom.2021.161041 ↗
27. 10.1088/0957-4484/27/36/36520210.1088/0957-4484/27/36/365202 ↗
28. 10.1016/j.scriptamat.2020.06.06110.1016/j.scriptamat.2020.06.061 ↗
29. 10.1002/adfm.20120217010.1002/adfm.201202170 ↗
30. 10.1002/aisy.20210027310.1002/aisy.202100273 ↗
31. 10.1002/aisy.20220032510.1002/aisy.202200325 ↗
32. 10.1016/j.chaos.2022.11248010.1016/j.chaos.2022.112480 ↗
33. 10.1016/j.sse.2017.10.01210.1016/j.sse.2017.10.012 ↗
34. 10.1063/1.503783510.1063/1.5037835 ↗
35. M. H.Lee K.‐T.Chen C.‐Y.Liao S.‐S.Gu G.‐Y.Siang Y.‐C.Chou H.‐Y.Chen J.Le R.‐C.Hong Z.‐Y.Wang S.‐Y.Chen P.‐G.Chen M.Tang Y.‐D.Lin H.‐Y.Lee K.‐S.Li C. W.Liu at 2018 IEEE International Electron Devices Meeting (IEDM) IEEE San Francisco CA USA2018.
36. 10.1186/s11671-020-3249-710.1186/s11671-020-3249-7 ↗
37. 10.1109/LED.2019.291793510.1109/LED.2019.2917935 ↗
38. 10.1002/pssr.20190020410.1002/pssr.201900204 ↗
39. 10.1016/j.apsusc.2023.15715310.1016/j.apsusc.2023.157153 ↗
40. 10.1002/admt.20230139010.1002/admt.202301390 ↗
41. 10.1021/nn506735m10.1021/nn506735m ↗
42. 10.1002/adfm.20110236210.1002/adfm.201102362 ↗
43. 10.1186/1556-276X-9-29210.1186/1556-276X-9-292 ↗
44. 10.1016/j.mee.2011.03.06210.1016/j.mee.2011.03.062 ↗
45. 10.1109/TED.2017.277686010.1109/TED.2017.2776860 ↗
46. 10.1109/TED.2012.223168310.1109/TED.2012.2231683 ↗
47. 10.1063/5.002775710.1063/5.0027757 ↗
48. 10.1039/C7NR01840A10.1039/C7NR01840A ↗
49. 10.1088/1361-6528/abc78210.1088/1361-6528/abc782 ↗
50. 10.1016/j.jallcom.2023.17109610.1016/j.jallcom.2023.171096 ↗
51. 10.1021/acsami.6b0891510.1021/acsami.6b08915 ↗
52. 10.1002/aisy.20210001710.1002/aisy.202100017 ↗
53. Cao W. · IEEE Trans. Comput. · 2022 · 71 · 2142
54. 10.1038/s41467-024-46682-110.1038/s41467-024-46682-1 ↗
55. 10.1038/s41467-022-30539-610.1038/s41467-022-30539-6 ↗
56. 10.1002/aelm.20230052010.1002/aelm.202300520 ↗
57. 10.1063/1.489355910.1063/1.4893559 ↗
58. 10.1039/D3NR06614B10.1039/D3NR06614B ↗
59. 10.1088/1361-6528/ab045010.1088/1361-6528/ab0450 ↗
60. 10.1063/1.481977210.1063/1.4819772 ↗
61. 10.1109/TED.2012.218454510.1109/TED.2012.2184545 ↗
62. 10.1021/acs.nanolett.5b0069710.1021/acs.nanolett.5b00697 ↗
63. 10.1038/s41598-018-19575-910.1038/s41598-018-19575-9 ↗
64. 10.1039/C8NR06694A10.1039/C8NR06694A ↗
65. 10.1109/ACCESS.2020.300530310.1109/ACCESS.2020.3005303 ↗
66. 10.1016/j.mssp.2023.10731410.1016/j.mssp.2023.107314 ↗
67. 10.1016/j.neuron.2004.09.00710.1016/j.neuron.2004.09.007 ↗
68. Kim S. · Ext. Abstr. ‐ Int. Symp. Anal. Chem. Explor., Min. Process. Mater. · 2023 · 11
69. 10.1021/acsami.9b1722710.1021/acsami.9b17227 ↗
70. 10.1039/D3NR01930F10.1039/D3NR01930F ↗
71. 10.1038/nature0301310.1038/nature03013 ↗
72. 10.1038/7882910.1038/78829 ↗
73. 10.1162/neco.2008.06-08-80410.1162/neco.2008.06-08-804 ↗
74. 10.1016/j.jallcom.2021.16214110.1016/j.jallcom.2021.162141 ↗
75. 10.1021/acsaelm.2c0002310.1021/acsaelm.2c00023 ↗
76. 10.1002/aisy.20210023610.1002/aisy.202100236 ↗
77. 10.1007/s40820-021-00618-210.1007/s40820-021-00618-2 ↗
78. 10.1109/LED.2020.300872810.1109/LED.2020.3008728 ↗
79. 10.1021/acsnano.7b0827210.1021/acsnano.7b08272 ↗
80. 10.1109/LED.2018.280966110.1109/LED.2018.2809661 ↗