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Updated: Jul 5, 2026
10:40
A Fabrication and Measurement Method for a Flexible Ferroelectric Element Based on Van Der Waals Heteroepitaxy
Published on: April 8, 2018
Ferroelectric capacitive memories: devices, arrays, and applications.
Zuopu Zhou1, Leming Jiao1, Zijie Zheng1
1Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore, 117576, Singapore.
Nano Convergence
|January 22, 2025
Summary
Ferroelectric capacitive memories (FCMs) offer efficient, non-destructive data storage by modulating capacitance. This technology shows great promise for ultra-low-power computing and machine learning acceleration.
Area of Science:
- Materials Science
- Electrical Engineering
- Computer Science
Background:
- Ferroelectric capacitive memories (FCMs) leverage ferroelectric polarization for data storage.
- Unlike resistive memories, FCMs offer non-destructive reads and operate in the charge domain.
Purpose of the Study:
- To summarize recent advancements in Ferroelectric Capacitive Memory (FCM) devices.
- To review FCM device mechanisms, performance, limitations, and array-level operations.
- To explore FCM applications in computing-in-memory for machine learning.
Main Methods:
- Review and comparison of various FCM device designs and their performance metrics.
- Investigation of capacitive crossbar array operations and integration strategies.
- Analysis of FCMs for in-memory computing and machine learning acceleration.
Main Results:
- FCMs demonstrate ultra-high energy efficiency and negligible read disturbance.
- Progressive performance enhancements in various FCM device designs have been reported.
- FCMs show potential for large-scale array integration and computing-in-memory applications.
Conclusions:
- FCMs present a promising new pathway for non-destructive ferroelectric memory.
- The technology offers significant advantages for energy-efficient computing and AI acceleration.
- Further research and development are crucial for realizing the full potential of FCMs.
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