journal article·2026-07-13

Binary Ge−Te Chalcogenide as a Toxic-Element-Free Platform for Polarity-Dependent Selector-Only Memory via Composition Engineering

Minju Kim, Byeongchan Sim, Saegyoung Song, Dong Il Kim, Jeongwoo Seo, Hyunwee Cho, John Hong, Jin Pyo Hong

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Abstract

The growing demand for high-density and energy-efficient memory has motivated the development of selector-only memory (SOM) as a simplified alternative to conventional one-selector−one-resistor architectures. However, most reported SOM devices rely on multicomponent chalcogenides, buffer layers, or toxic elements, which complicate fabrication and limit scalability. Here, SOM operation is demonstrated in a simple binary Ge−Te system without buffer layers, interfacial engineering, or toxic elements. By systematically tuning the stoichiometry, a well-defined composition window is identified where pronounced SOM behavior emerges, exhibiting a polarity-dependent threshold-voltage shift of up to ∼1.5 V. Pulse-based electrical measurements reveal a composition-dependent trade-off between memory window characteristics and reliability metrics, including endurance exceeding 3 × 10 8 stress pulses and data retention on the order of 10 8 s in optimized composition. To elucidate the physical origin of the SOM behavior, comprehensive analyses combining trap-assisted hopping modeling with transmission electron microscopy and X-ray photoelectron spectroscopy were performed. These analyses indicate that polarity-driven modifications of local bonding configurations and defect energetics within the amorphous Ge−Te layer lead to asymmetric trap transport pathways and history-dependent threshold voltages. Thus, this work highlights binary Ge−Te as a minimal and toxic-element-free SOM material platform, providing insights for next-generation memory technologies.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: 2D Materials and Applications · Phase-change materials and chalcogenides · Advanced Memory and Neural Computing

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

Affiliations

Research Institute of Convergence of Basic Science, Department of Physics

Hanyang University

School of Materials Science and Engineering

Kookmin University

Division of Nano-Scale Semiconductor Engineering

Funding

National Research Foundation of Korea

References (57)

Show source-provided references
1. 10.1016/j.jmst.2025.09.00510.1016/j.jmst.2025.09.005 ↗
2. 10.1109/ted.2023.325249110.1109/ted.2023.3252491 ↗
3. 10.1109/IEDM45625.2022.1001941510.1109/IEDM45625.2022.10019415 ↗
4. 10.23919/VLSITechnologyandCir57934.2023.1018521010.23919/VLSITechnologyandCir57934.2023.10185210 ↗
5. 10.1016/j.jmst.2024.02.07210.1016/j.jmst.2024.02.072 ↗
6. 10.1021/acsaelm.1c0049110.1021/acsaelm.1c00491 ↗
7. 10.1007/s00339-011-6287-210.1007/s00339-011-6287-2 ↗
8. 10.1038/s41928-025-01477-010.1038/s41928-025-01477-0 ↗
9. 10.1038/s41467-024-55437-x10.1038/s41467-024-55437-x ↗
10. 10.1093/nsr/nwad27210.1093/nsr/nwad272 ↗
11. 10.1002/adma.20250952510.1002/adma.202509525 ↗
12. 10.1016/j.chip.2024.10010110.1016/j.chip.2024.100101 ↗
13. 10.1007/s10825-017-1059-710.1007/s10825-017-1059-7 ↗
14. 10.1002/pssr.20210019910.1002/pssr.202100199 ↗
15. 10.1002/aelm.20180080610.1002/aelm.201800806 ↗
16. 10.1109/ted.2015.246165610.1109/ted.2015.2461656 ↗
17. 10.1109/IEDM19574.2021.972064910.1109/IEDM19574.2021.9720649 ↗
18. 10.1002/pssr.20220041710.1002/pssr.202200417 ↗
19. 10.1109/IEDM50854.2024.1087332610.1109/IEDM50854.2024.10873326 ↗
20. 10.1109/ted.2024.337822110.1109/ted.2024.3378221 ↗
21. 10.1126/sciadv.aay283010.1126/sciadv.aay2830 ↗
22. 10.1016/j.mser.2025.10116910.1016/j.mser.2025.101169 ↗
23. 10.1016/j.jmst.2025.06.02310.1016/j.jmst.2025.06.023 ↗
24. 10.1109/VLSITechnologyandCir46769.2022.983019910.1109/VLSITechnologyandCir46769.2022.9830199 ↗
25. 10.1016/j.jallcom.2025.18107910.1016/j.jallcom.2025.181079 ↗
26. 10.1109/led.2025.359897510.1109/led.2025.3598975 ↗
27. 10.1038/s41598-024-73131-210.1038/s41598-024-73131-2 ↗
28. 10.1038/s41524-023-01043-210.1038/s41524-023-01043-2 ↗
29. 10.1109/ted.2024.342377210.1109/ted.2024.3423772 ↗
30. 10.23919/VLSITechnologyandCir65189.2025.1107480710.23919/VLSITechnologyandCir65189.2025.11074807 ↗
31. 10.1109/IEDM50854.2024.1087355510.1109/IEDM50854.2024.10873555 ↗
32. 10.1109/IEDM45741.2023.1041381510.1109/IEDM45741.2023.10413815 ↗
33. 10.1109/led.2024.349577810.1109/led.2024.3495778 ↗
34. 10.1002/aelm.20240066510.1002/aelm.202400665 ↗
35. 10.1007/s40820-023-01289-x10.1007/s40820-023-01289-x ↗
36. 10.1002/anie.20231385210.1002/anie.202313852 ↗
37. 10.1002/adma.20220872410.1002/adma.202208724 ↗
38. 10.1038/s41467-020-20691-210.1038/s41467-020-20691-2 ↗
39. 10.1364/aop.9.00031510.1364/aop.9.000315 ↗
40. 10.1149/2.017206jss10.1149/2.017206jss ↗
41. 10.1016/j.apsusc.2025.16557610.1016/j.apsusc.2025.165576 ↗
42. 10.1002/pssr.20230041510.1002/pssr.202300415 ↗
43. 10.5573/jsts.2020.20.1.00810.5573/jsts.2020.20.1.008 ↗
44. 10.1016/j.jallcom.2016.08.23710.1016/j.jallcom.2016.08.237 ↗
45. 10.23919/VLSIT.2019.877656610.23919/VLSIT.2019.8776566 ↗
46. 10.1002/pssr.20190067210.1002/pssr.201900672 ↗
47. 10.1063/1.487178010.1063/1.4871780 ↗
48. 10.1063/1.492850410.1063/1.4928504 ↗
49. 10.1063/1.277368810.1063/1.2773688 ↗
50. 10.1038/s41928-018-0092-210.1038/s41928-018-0092-2 ↗
51. 10.5757/asct.2024.33.4.10010.5757/asct.2024.33.4.100 ↗
52. 10.1103/PhysRevB.78.03530810.1103/PhysRevB.78.035308 ↗
53. 10.1109/IRPS48228.2024.1052945010.1109/IRPS48228.2024.10529450 ↗
54. 10.1109/VLSITechnologyandCir46783.2024.1063152010.1109/VLSITechnologyandCir46783.2024.10631520 ↗
55. 10.1016/j.actamat.2023.11920910.1016/j.actamat.2023.119209 ↗
56. 10.1002/advs.20240802810.1002/advs.202408028 ↗
57. 10.23919/VLSITechnologyandCir65189.2025.1107511210.23919/VLSITechnologyandCir65189.2025.11075112 ↗