journal article·2025-10-15Open access

All HfOx-Resistive Switches with the Conducting Oxygen Vacancy Exchange Layer and Self-Limited Oxide Layer

Philipp Schreyer, Nico Kaiser, Déspina Nasiou, Eszter Piros, Yu Duan, Taewook Kim, Yingxin Li, Li-Chung Shih, Robert Winkler, Fernando L. Aguirre, Tobias Vogel, Alexey Arzumanov, Jen-Sue Chen, Leopoldo Molina-Luna, Lambert Alff

ACS Applied Materials & Interfaces· Volume 17· Issue 41

Abstract

High Resolution Image Download MS PowerPoint Slide Resistive random-access memory based on hafnia is a potential candidate for next-generation memories. However, there are some key challenges to overcome, including the stochastic nature of the filament formation during electroforming and SET operation, which results in large cycle-to-cycle and device-to-device variability. Here, we propose a device setup with an artificial virtual electrode layer of conducting oxygen-deficient HfO x and a well-defined self-limited oxidized switching layer to reduce the stochasticity of filament growth. We have realized this concept in TiN/HfO x /HfO 2 /Pt device stacks by adjusting the oxygen content in the artificial virtual electrode during growth in a molecular beam epitaxy system and subsequent self-limited surface oxidation in an oxygen-rich atmosphere. The artificial virtual electrode functions as a conducting oxygen vacancy exchange layer (COVEL) due to the inherent low oxygen content, providing an unlimited oxygen vacancy reservoir that stabilizes the filament in the thin oxidized switching layer. Detailed electrical characterization demonstrates that the COVEL, combined with the self-limited oxidized switching layer, can significantly reduce electroforming and SET voltage stochasticity and thus contribute to improving the switching reliability.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Semiconductor materials and devices

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

Affiliations

Advanced Thin Film Technology Division, Institute of Materials Science, TU Darmstadt, Peter-Grünberg-Str. 2, 64287 Darmstadt, Germany

Advanced Electron Microscopy Division, Institute of Materials Science, TU Darmstadt, Peter-Grünberg-Str. 2, 64287 Darmstadt, Germany

Department of Material Science and Engineering

National Cheng Kung University

Intrinsic Semiconductor Technologies Ltd., 9th Floor 107 Cheapside, London EC2V 6DN, United Kingdom

Funding

Bundesministerium f?r Bildung und Forschung · European Research Council · Deutsche Forschungsgemeinschaft · Electronic Components and Systems for European Leadership · National Science and Technology Council

References (65)

Show source-provided references
1. 10.1002/adfm.20170043210.1002/adfm.201700432 ↗
2. 10.1002/aelm.20190048410.1002/aelm.201900484 ↗
3. 10.1002/advs.20220180610.1002/advs.202201806 ↗
4. 10.1021/acs.nanolett.3c0394110.1021/acs.nanolett.3c03941 ↗
5. 10.1063/1.352708610.1063/1.3527086 ↗
6. 10.1002/adfm.20130327410.1002/adfm.201303274 ↗
7. Kim S. · 2019 · 35.7.1
8. 10.1088/1361-6641/ab220f10.1088/1361-6641/ab220f ↗
9. 10.1002/aelm.20200043910.1002/aelm.202000439 ↗
10. 10.1103/PhysRevApplied.14.03402910.1103/PhysRevApplied.14.034029 ↗
11. 10.1038/s41598-023-49924-210.1038/s41598-023-49924-2 ↗
12. Wei Z. · 2008 · 1
13. 10.1038/nmat307010.1038/nmat3070 ↗
14. 10.1038/nnano.2009.45610.1038/nnano.2009.456 ↗
15. 10.1063/1.200114610.1063/1.2001146 ↗
16. 10.1002/adfm.20140046110.1002/adfm.201400461 ↗
17. 10.1109/JPROC.2015.243331110.1109/JPROC.2015.2433311 ↗
18. 10.1021/acsnano.2c0484110.1021/acsnano.2c04841 ↗
19. 10.1109/TNS.2021.308596210.1109/TNS.2021.3085962 ↗
20. 10.1063/5.009895310.1063/5.0098953 ↗
21. 10.1109/TNS.2019.290863710.1109/TNS.2019.2908637 ↗
22. 10.1016/S0167-9317(03)00291-010.1016/S0167-9317(03)00291-0 ↗
23. 10.1016/j.mser.2014.11.00110.1016/j.mser.2014.11.001 ↗
24. 10.1007/s00339-005-3208-210.1007/s00339-005-3208-2 ↗
25. Grossi A. · 2016 · 4.7.110.1109/IEDM.2016.7838348 ↗
26. 10.1021/acs.langmuir.7b0047910.1021/acs.langmuir.7b00479 ↗
27. 10.1021/acsami.2c0336410.1021/acsami.2c03364 ↗
28. 10.1021/acsomega.7b0121110.1021/acsomega.7b01211 ↗
29. 10.1021/acsami.1c0945110.1021/acsami.1c09451 ↗
30. 10.1021/acsaelm.2c0125510.1021/acsaelm.2c01255 ↗
31. Waser R. · 2012
32. 10.1002/aelm.20230069310.1002/aelm.202300693 ↗
33. 10.1016/0040-6090(78)90080-910.1016/0040-6090(78)90080-9 ↗
34. 10.1016/S0039-6028(00)00420-910.1016/S0039-6028(00)00420-9 ↗
35. 10.1016/j.tsf.2020.13828710.1016/j.tsf.2020.138287 ↗
36. 10.1016/S1359-6454(02)00089-710.1016/S1359-6454(02)00089-7 ↗
37. 10.1063/1.489360510.1063/1.4893605 ↗
38. 10.1063/1.486465310.1063/1.4864653 ↗
39. Govoreanu B. · 2011 · 31.6.1
40. 10.1088/0022-3727/43/39/39510410.1088/0022-3727/43/39/395104 ↗
41. 10.1109/LED.2013.228826210.1109/LED.2013.2288262 ↗
42. 10.1063/5.026109510.1063/5.0261095 ↗
43. 10.1080/00018732.2022.208400610.1080/00018732.2022.2084006 ↗
44. 10.1186/s11671-019-3229-y10.1186/s11671-019-3229-y ↗
45. 10.1016/S1002-0071(12)60001-X10.1016/S1002-0071(12)60001-X ↗
46. Yu S. · 2011 · 17.3.1
47. 10.1002/admt.20180023810.1002/admt.201800238 ↗
48. 10.1109/TED.2014.232553110.1109/TED.2014.2325531 ↗
49. 10.1088/0957-4484/20/21/21520110.1088/0957-4484/20/21/215201 ↗
50. 10.1038/nmat161410.1038/nmat1614 ↗
51. 10.1186/s11671-017-2164-z10.1186/s11671-017-2164-z ↗
52. 10.1002/admi.20210125710.1002/admi.202101257 ↗
53. 10.1007/s00339-024-08002-810.1007/s00339-024-08002-8 ↗
54. 10.1039/C6NR08687J10.1039/C6NR08687J ↗
55. 10.1149/2162-8777/ac175c10.1149/2162-8777/ac175c ↗
56. 10.1016/j.sse.2016.10.02510.1016/j.sse.2016.10.025 ↗
57. 10.1063/5.000964510.1063/5.0009645 ↗
58. 10.1109/LED.2010.204189310.1109/LED.2010.2041893 ↗
59. 10.1039/C6NR06293H10.1039/C6NR06293H ↗
60. 10.1063/1.504043010.1063/1.5040430 ↗
61. 10.1063/1.495367310.1063/1.4953673 ↗
62. 10.1063/1.293214810.1063/1.2932148 ↗
63. Stecconi T. · 2022 · 29710.1109/ESSDERC55479.2022.9947195 ↗
64. Falcone D. F. · 2023 · 1
65. 10.1039/C5NR03314D10.1039/C5NR03314D ↗