Neuromorphic synaptic applications of HfAlOx-based ferroelectric tunnel junction annealed at high temperatures to achieve high polarizationopen access
- Authors
- Kim, Sunghun; Kim, Juri; Kim, Dahye; Kim, Jihyung; Kim, Sungjun
- Issue Date
- Oct-2023
- Publisher
- AIP Publishing
- Keywords
- Aluminum; Annealing; Cmos Integrated Circuits; Ferroelectricity; Hafnium Oxides; Low Power Electronics; Mos Devices; Oxide Semiconductors; Polarization; Semiconductor Doping; Semiconductor Junctions; Complementary Metal Oxide Semiconductors; Ferroelectric Tunnel Junctions; Highest Temperature; Low Power; Neural Network Application; Neuromorphic; Non-volatile Memory; Nonvolatile Memory; Property; Research Efforts; Tunnel Junctions
- Citation
- APL Materials, v.11, no.10, pp 1 - 10
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- APL Materials
- Volume
- 11
- Number
- 10
- Start Page
- 1
- End Page
- 10
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/20426
- DOI
- 10.1063/5.0170699
- ISSN
- 2166-532X
2166-532X
- Abstract
- HfO2-based ferroelectric tunnel junctions (FTJs) are promising nonvolatile memory types for neural network applications because of their speed, low power, and excellent complementary metal-oxide semiconductor compatibility. Specifically, HfAlOx (HAO) has led to extensive research efforts owing to its outstanding ferroelectric performance. This is a result of the fact that the atomic radius of Al is smaller than that of Hf. In this study, we investigate the metal-ferroelectric-semiconductor device with an Al doping concentration of 2% that was annealed at 900 °C. A high-remnant polarization (Pr) value of 39.85 µC/cm2 and endurance were achieved by using the polarization switching positive-up-negative-down measurement method at this annealing condition. Our device shows long-term potentiation and depression properties, including high linearity and multiple conductance states for neuromorphic applications. Moreover, paired-pulse facilitation was implemented to mimic human synaptic functions. The construction of 16 states comprising four bits was achieved by employing reservoir computing with the FTJ device functioning as a physical reservoir. Finally, the results obtained from the experiment show promising outcomes for the ferroelectric memory characteristics and synaptic properties of the manufactured HAO device. © 2023 Author(s).
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Collections - College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

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