Device Engineering Strategy of Zr-Doped HfOx Ferroelectric Memory for Unconventional Computing Applications
Abstract
This study reports the device design strategy of ferroelectric memory based on Zr doped HfOxfor memory and neuromorphic computing systems. It has been believed that polarization switching occurs due to the transformation in the HfOx layer to a specific crystalline phase through high temperature annealing. Considering the essentially required fabrication process, ferroelectric memory available in various configurations may be thermally stable or need to be demonstrated at as low a temperature as possible. Therefore, in this paper, device design and engineering strategies to improve the polarization switching are addressed. First, the experimental results show that a high pressure annealing technique not only significantly lowers the temperature required for phase transition in the HfOxlayer to 550 °C, but also enhances the crystallinity. On the other hand, in a situation where the polarization is utilized to adjust the carrier density of the transistor channel, thermally stabilized ferroelectricity at high temperatures is preferred. A trilayer structure in which thin Al2O3layer is introduced to improve instability is also discussed.
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The in-memory computing core relies on memristive devices such as phase-change memory (PCM) and ferroelectric memory cells, which are programmed to maintain a specific conductance over an extended period.
“The in-memory computing core relies on memristive devices such as phase-change memory (PCM) [44] and ferroelectric [45] memory cells, which are programmed to maintain a specific conductance over an extended period.”
From Brain-inspired computing systems: a systematic literature review (2024) · cites this paper as [45]
Cites
Fully hardware-implemented memristor convolutional neural network
Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature · doi:10.1038/s41586-020-1942-4 · Cited by 2,179 · see citing works
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Brain-inspired computing systems: a systematic literature review
Zolfagharinejad, M., Alegre-Ibarra, U., Chen, T., Kinge, S., & van der Wiel, W. G. (2024) · The European Physical Journal B · doi:10.1140/epjb/s10051-024-00703-6 · Cited by 39 · see citing works
“The in-memory computing core relies on memristive devices such as phase-change memory (PCM) [44] and ferroelectric [45] memory cells, which are programmed to maintain a spe-cific conductance over an extended period.”
Background
- Authors
- Woo, J.
- Affiliations
- Kyungpook National University (KR)
- Corresponding author
- Woo, Jiyong
- ORCID
- Woo, Jiyong
- Venue
- 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
- Publisher
- IEEE
- Published
- 2021-05
- Volume
- 99
- Pages
- 1-4
- ISSN
- 0271-4302 (ISSN-L)
- OpenAlex
- W3159827692
- Cited by
- 4
- References
- 1
- Citations by year
- 2024: 3 · 2023: 1
- FWCI
- 1.57
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE International Symposium on Circuits and Systems proceedings (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Ferroelectric and Negative Capacitance Devices
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Semiconductor materials and devices
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- ferroelectric memory, polarization switching, phase transitions, high-pressure annealing, thermal stability, neuromorphic computing, unconventional computing, Al2O3 interlayer, three-layer structure, carrier density tuning, crystallinity
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