journal article·2026-01

Non‐Perturbative Oxygen Vacancy Mapping via Independently‐Contacted, Reciprocally‐Switching Double‐Layer ECRAM for In‐Memory Computing

Seungmin Han, Hyunjeong Kwak, Jungho Lee, Jeonghoon Son, Seungkun Kim, Jinho Byun, Beomjoo Ham, Hyeongjun Jang, Youngjoon Lee, Changwook Jeong, Seyoung Kim

Small· Volume 22· Issue 1
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Abstract

Abstract The electrochemical control of ion migration is fundamental to the development of oxide memristors and neuromorphic devices. Among them, oxygen‐ion‐based electrochemical random‐access memory (ECRAM) offers low variability and high training accuracy, making it suitable for analog in‐memory computing. However, conventional vertically‐stacked ECRAMs hinder real‐time visualization of ion migration paths, limiting further device optimization. Here, an independently‐contacted, reciprocally‐switching double‐layer ECRAM (IRIS‐ECRAM) is introduced that enables simultaneous measurement of conductance changes in both the channel and reservoir layers. This design allows direct mapping of oxygen vacancy migration within the device, revealing opposing switching behavior between the two layers and identifying a new role of the electrolyte as a temporary reservoir. Furthermore, array‐level operation, confirming the scalability of the proposed design, is demonstrated. This platform is universally applicable to various ECRAM structures and provides a powerful tool for understanding ionic dynamics and guiding structural optimization based on oxygen vacancy mapping.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Electrocatalysts for Energy Conversion · Transition Metal Oxide Nanomaterials

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

Affiliations

Department of Electrical Engineering Pohang University of Science and Technology Pohang 37673 Republic of Korea

Graduate School of Semiconductor Materials and Devices Engineering Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea

Funding

Ministry of Trade, Industry and Energy · National Research Foundation of Korea

References (44)

Show source-provided references
1. 10.1016/j.suscom.2023.10085710.1016/j.suscom.2023.100857 ↗
2. 10.1038/nature1453910.1038/nature14539 ↗
3. Xu Y. · Artificial intelligence: A powerful paradigm for scientific research · 2021
4. 10.1038/s41586-021-04362-w10.1038/s41586-021-04362-w ↗
5. Zahoor F. · Nanoscale Res. Lett. · 2020 · 15
6. Wong H. S. P. · Phase change memory · 2010 · 2201
7. Sheikholeslami A. · A Survey of Circuit Innovations in Ferroelectric Random‐Access Memories · 2000
8. 10.1039/C8FD00127H10.1039/C8FD00127H ↗
9. 10.3389/fnins.2016.0033310.3389/fnins.2016.00333 ↗
10. 10.1088/1361-6528/ab180f10.1088/1361-6528/ab180f ↗
11. J.Tang D.Bishop S.Kim et al. presented at2019 IEEE International Electron Devices Meeting IEDM San Francisco CA USA December 2019.
12. 10.1002/adma.20220477110.1002/adma.202204771 ↗
13. S.Kim J. A.Ott T.Ando et al. presented at2019 International Electron Devices Meeting IEDM San Francisco CA USA December 2019.
14. 10.1109/LED.2025.358014610.1109/LED.2025.3580146 ↗
15. 10.1002/aelm.20220037810.1002/aelm.202200378 ↗
16. Kwak H. · Nano Converg · 2024 · 11
17. 10.1002/smll.20250407110.1002/smll.202504071 ↗
18. 10.1021/acsami.1c2104510.1021/acsami.1c21045 ↗
19. Lee J. · Adv. Electron. Mater. · 2021 · 7
20. 10.1038/s41928-023-00939-710.1038/s41928-023-00939-7 ↗
21. Lee K. · Adv. Funct. Mater. · 2024 · 34
22. 10.1021/acsnano.2c0291310.1021/acsnano.2c02913 ↗
23. J.Son S.Kim J.Lee et al. presented at2024 IEEE International Electron Devices Meeting (IEDM) San Francisco CA USA December 2024.
24. Chen P. · Nat. Commun. · 2023 · 14 · 1
25. 10.1002/adma.20220516910.1002/adma.202205169 ↗
26. 10.1002/aisy.20240106810.1002/aisy.202401068 ↗
27. 10.1109/TED.2024.337630810.1109/TED.2024.3376308 ↗
28. 10.1016/j.ssc.2012.04.03210.1016/j.ssc.2012.04.032 ↗
29. Kim H. · Zero‐shifting Technique for Deep Neural Network Training on Resistive Cross‐point Arrays · 2019
30. 10.1039/c3ra45421e10.1039/c3ra45421e ↗
31. 10.1039/B612174H10.1039/B612174H ↗
32. 10.1021/acsami.9b1433810.1021/acsami.9b14338 ↗
33. Wang F. · Phys Rev B Condens Matter Mater Phys · 2011 · 84
34. 10.1109/EDL.1982.2550210.1109/EDL.1982.25502 ↗
35. 10.1038/s41467-025-58004-010.1038/s41467-025-58004-0 ↗
36. M.Baldo D.Ielmini presented at2021 IEEE International Memory Workshop IMW Dresden Germany May 2021.
37. W.Wang E.Covi Y. H.Lin et al. presented at2019 International Electron Devices Meeting IEDM San Francisco CA USA December 2019.
38. Noh K. · Retention‐aware zero‐shifting technique for Tiki‐Taka algorithm‐based analog deep learning accelerator · 2024
39. 10.1109/TBCAS.2024.346561010.1109/TBCAS.2024.3465610 ↗
40. 10.1126/science.aaw558110.1126/science.aaw5581 ↗
41. 10.1002/aelm.20230047610.1002/aelm.202300476 ↗
42. S. H.Park D.Kwon H. N.Yoo J. W.Back J.Hwang Y.Yang J.‐J.Kim J.‐H.Lee presented at2022 International Electron Devices Meeting IEDM San Francisco CA USA December 2022.
43. Hinton G. · The Forward‐Forward Algorithm: Some Preliminary Investigations · 2022
44. 10.1109/TED.2024.339217010.1109/TED.2024.3392170 ↗