A fluorite-structured HfO2/ZrO2/HfO2 superlattice based self-rectifying ferroelectric tunnel junction synapse
- Authors
- Lee, Dong Hyun; Kim, Ji Eun; Cho, Yong Hyeon; Kim, Sojin; Park, Geun Hyeong; Choi, Hyojun; Lee, Sun Young; Kwon, Taegyu; Kim, Da Hyun; Jeong, Moonseek; Jeong, Hyun Woo; Lee, Younghwan; Lee, Seung-Yong; Yoon, Jung Ho; Park, Min Hyuk
- Issue Date
- Oct-2024
- Publisher
- ROYAL SOC CHEMISTRY
- Citation
- MATERIALS HORIZONS, v.11, no.21, pp 1 - 14
- Pages
- 14
- Indexed
- SCIE
SCOPUS
- Journal Title
- MATERIALS HORIZONS
- Volume
- 11
- Number
- 21
- Start Page
- 1
- End Page
- 14
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213010
- DOI
- 10.1039/d4mh00519h
- ISSN
- 2051-6347
2051-6355
- Abstract
- A self-rectifying ferroelectric tunnel junction that employs a HfO2/ZrO2/HfO2 superlattice (HZH SL) combined with Al2O3 and TiO2 layers is proposed. The 6 nm-thick HZH SL effectively suppresses the formation of non-ferroelectric phases while increasing remnant polarization (Pr). This enlarged Pr modulates the energy barrier configuration, consequently achieving a large on/off ratio of 1273 by altering the conduction mechanism from off-state thermal injection to on-state Fowler-Nordheim tunneling. Moreover, the asymmetric Schottky barriers at the top TiN/TiO2 and bottom HfO2/Pt interfaces enable a self-rectifying property with a rectifying ratio of 1550. Through calculations and simulations it is found that the device demonstrates potential for achieving an integrated array size exceeding 7k while maintaining a 10% read margin, and shows potential for application in artificial synapses for neuromorphic computing with an image recognition accuracy above 92%. Finally, the self-rectifying behavior and device-to-device variation reliability are confirmed in a 9 × 9 crossbar array structure.
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