Polarization-controlled memristive synapse characteristics of HfZrO2-based ferroelectric switchable diodeopen access
- Authors
- Lee, Youngmin; Lee, Sejoon
- Issue Date
- Aug-2025
- Publisher
- Elsevier Ltd
- Keywords
- Ferroelectric switchable diode; HfZrO<sub>2</sub>; Schottky barrier modulation; Synaptic device
- Citation
- Journal of Alloys and Compounds, v.1038, pp 1 - 14
- Pages
- 14
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of Alloys and Compounds
- Volume
- 1038
- Start Page
- 1
- End Page
- 14
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/58972
- DOI
- 10.1016/j.jallcom.2025.182700
- ISSN
- 0925-8388
1873-4669
- Abstract
- To realize artificial synapse functionalities using precisely controllable resistance-switching characteristics in electronic synaptic devices, we demonstrated diverse and efficient synaptic functions on a two-terminal device architecture of the Au/HfZrO2/Pt ferroelectric switchable diode. The ferroelectric properties of the HfZrO2 active layer were enhanced by forming a crystallographic orthorhombic phase, which was associated with an increased oxygen vacancy density. The fabricated device exhibited distinct asymmetric hysteresis behavior, attributed to the switchable diode effect resulting from ferroelectric polarization-induced modulation of the Schottky barrier height. This polarization-mediated barrier modulation enabled systematic tuning of the on-state current values by varying the sweep time duration. These finely tunable resistive-switching characteristics allowed the fabricated device to effectively emulate biological synaptic functions. Controlled time intervals and pulse durations in repetitive pulse schemes provided a straightforward method to improve both the linearity and symmetry of long-term memory characteristics, thereby enhancing learning accuracy and training efficiency. Furthermore, this approach facilitated metaplasticity in spike-timing-dependent plasticity, corresponding to the learning activity of the electronic synapse. These findings underscore the significant potential of the Au/HfZrO2/Pt ferroelectric switchable diode for applications in neuromorphic computing systems. © 2025 Elsevier B.V.
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Collections - College of Advanced Convergence Engineering > Division of System Semiconductor > 1. Journal Articles

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