journal article·2025-01-28

Exploring Multilevel Properties of GeTe-Based Phase Change Memory Devices for Programmable Synaptic Activity

Amiya Kumar Mishra, Anushmita Pathak, Shivendra Kumar Pandey

Publisher page

Abstract

Phase change memory (PCM) is a promising technology to emulate the synaptic behavior of neuromorphic systems. The efficient development of artificial synaptic arrays for brain-inspired neuromorphic applications is crucial for overcoming the Von Neumann bottleneck at the device level. Hence, GeTe-based PCM performance is investigated in this work for neuromorphic applications. XRD analysis of the GeTe material shows the amorphous to rhombohedral structural evolution at a 250 °C annealing temperature. The intensity of Raman spectra peaks at 250 °C increases, while FWHM decreases, indicating an improvement in the sample crystallinity. Ge 3d and Te 3d X-ray photoelectron spectroscopy core-level spectra confirmed the presence of Ge–Te bonds. A TiN/GeTe/TiN PCM device is fabricated and electrically tested to imitate its functioning as an electronic synapse. A noticeable rise in conductance is observed at a threshold voltage of ∼(2.5 ± 0.1) V on applying a DC voltage sweep from 0 to 4 V. The device also achieves a rise in conductance values from 10 to 451 μS, while a decrement of conductance from 385.8 to 13 μS reveals the potentiation and depression behavior of a biological synapse when subjected to a programmed electrical pulse. The nonlinearity (NL) is around 30.35 and 5.35 for the potentiation and depression pulse, respectively, essential for high recognition accuracy in neural networks. These findings indicate that the GeTe-based PCM device is well-suited for emulating artificial synapses and promoting efficient neuromorphic application systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Phase-change materials and chalcogenides · Transition Metal Oxide Nanomaterials

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

Affiliations

Nanoelectronics & Emerging Memory (NEEM) Research Group, Department of Electronics & Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam 788010, India

Funding

Science and Engineering Research Board

References (39)

Show source-provided references
1. 10.1109/LED.2021.309476510.1109/LED.2021.3094765 ↗
2. 10.1038/s41467-024-46682-110.1038/s41467-024-46682-1 ↗
3. 10.1038/s41467-023-41643-610.1038/s41467-023-41643-6 ↗
4. 10.1002/adfm.20221461510.1002/adfm.202214615 ↗
5. 10.1002/inf2.1231510.1002/inf2.12315 ↗
6. 10.1038/s41565-020-0655-z10.1038/s41565-020-0655-z ↗
7. 10.1002/pssr.20200047510.1002/pssr.202000475 ↗
8. 10.1109/JPROC.2018.279084010.1109/JPROC.2018.2790840 ↗
9. 10.1021/nl201040y10.1021/nl201040y ↗
10. 10.1109/ted.2011.214779110.1109/ted.2011.2147791 ↗
11. Suri, M.; Bichler, O.; Querlioz, D.; Cueto, O.; Perniola, L.; Sousa, V.; Vuillaume, D.; Gamrat, C.; DeSalvo, B. Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction. In 2011 International Electron Devices Meeting: Washington, DC, U.S.A., 2011; pp 4.4.1–4.4.4.10.1109/IEDM.2011.6131488 ↗
12. 10.1002/admt.20180058910.1002/admt.201800589 ↗
13. 10.1002/adfm.20200341910.1002/adfm.202003419 ↗
14. 10.1063/1.504240810.1063/1.5042408 ↗
15. 10.1063/1.504241310.1063/1.5042413 ↗
16. 10.1063/5.008101610.1063/5.0081016 ↗
17. 10.1145/2463585.246358810.1145/2463585.2463588 ↗
18. 10.1002/pssr.20151015010.1002/pssr.201510150 ↗
19. 10.1038/s42254-020-0208-210.1038/s42254-020-0208-2 ↗
20. 10.1088/1361-6463/ab6bf010.1088/1361-6463/ab6bf0 ↗
21. 10.1088/2053-1583/ac1e7110.1088/2053-1583/ac1e71 ↗
22. 10.1016/j.matdes.2020.10939210.1016/j.matdes.2020.109392 ↗
23. 10.1016/j.scriptamat.2020.10.01410.1016/j.scriptamat.2020.10.014 ↗
24. 10.1002/pssr.20170022710.1002/pssr.201700227 ↗
25. 10.1063/1.319167010.1063/1.3191670 ↗
26. 10.1088/1361-6641/ac8b2c10.1088/1361-6641/ac8b2c ↗
27. 10.1039/c8tc06409a10.1039/c8tc06409a ↗
28. 10.1116/1.488321710.1116/1.4883217 ↗
29. 10.1016/j.jpcs.2007.02.02710.1016/j.jpcs.2007.02.027 ↗
30. 10.1063/1.365326510.1063/1.3653265 ↗
31. 10.1186/s11671-020-03336-710.1186/s11671-020-03336-7 ↗
32. 10.1016/S0167-2738(01)00785-810.1016/S0167-2738(01)00785-8 ↗
33. 10.1016/j.vacuum.2021.11084710.1016/j.vacuum.2021.110847 ↗
34. 10.1039/D2TC03656H10.1039/D2TC03656H ↗
35. 10.1002/aelm.20220016110.1002/aelm.202200161 ↗
36. 10.1088/1361-6528/acdc2e10.1088/1361-6528/acdc2e ↗
37. 10.1109/TCAD.2018.278972310.1109/TCAD.2018.2789723 ↗
38. 10.1109/LED.2017.271346010.1109/LED.2017.2713460 ↗
39. 10.1016/j.jmat.2021.08.00410.1016/j.jmat.2021.08.004 ↗