Emerging 2D Ferroelectric Devices for In‐Sensor and In‐Memory Computing

The quantity of sensor nodes within current computing systems is rapidly increasing in tandem with the sensing data. The presence of a bottleneck in data transmission between the sensors, computing, and memory units obstructs the system's efficiency and speed. To minimize the latency of data tr...

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Bibliographic Details
Published in:Advanced materials (Weinheim) Vol. 37; no. 2; pp. e2400332 - n/a
Main Authors: Chen, Chunsheng, Zhou, Yaoqiang, Tong, Lei, Pang, Yue, Xu, Jianbin
Format: Journal Article
Language:English
Published: Germany Wiley Subscription Services, Inc 01.01.2025
John Wiley and Sons Inc
Subjects:
2D materials
Data transmission
ferroelectric device
Ferroelectric materials
Ferroelectricity
Ferroelectrics
Free surfaces
Image processing
in‐memory computing
in‐sensor computing
Memory devices
Network latency
neural network
Neural networks
Review
Sensors
Two dimensional materials
ferroelectric device
in‐memory computing
in‐sensor computing
neural network
2D materials
ISSN:0935-9648, 1521-4095, 1521-4095
Online Access:Get full text
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Summary:The quantity of sensor nodes within current computing systems is rapidly increasing in tandem with the sensing data. The presence of a bottleneck in data transmission between the sensors, computing, and memory units obstructs the system's efficiency and speed. To minimize the latency of data transmission between units, novel in‐memory and in‐sensor computing architectures are proposed as alternatives to the conventional von Neumann architecture, aiming for data‐intensive sensing and computing applications. The integration of 2D materials and 2D ferroelectric materials has been expected to build these novel sensing and computing architectures due to the dangling‐bond‐free surface, ultra‐fast polarization flipping, and ultra‐low power consumption of the 2D ferroelectrics. Here, the recent progress of 2D ferroelectric devices for in‐sensing and in‐memory neuromorphic computing is reviewed. Experimental and theoretical progresses on 2D ferroelectric devices, including passive ferroelectrics‐integrated 2D devices and active ferroelectrics‐integrated 2D devices, are reviewed followed by the integration of perception, memory, and computing application. Notably, 2D ferroelectric devices have been used to simulate synaptic weights, neuronal model functions, and neural networks for image processing. As an emerging device configuration, 2D ferroelectric devices have the potential to expand into the sensor‐memory and computing integration application field, leading to new possibilities for modern electronics. This work reviews the recent progress of 2D ferroelectric devices for in‐sensing and in‐memory neuromorphic computing. Experimental and theoretical progresses on 2D ferroelectric devices, including passive ferroelectrics‐integrated 2D devices and active ferroelectrics‐integrated 2D devices are reviewed followed by the integration of perception, memory, and computing application. Notably, the 2D ferroelectric devices have been used to simulate synaptic weights, neuronal model functions, and neural networks for image processing.
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ISSN:0935-9648
1521-4095
1521-4095
DOI:10.1002/adma.202400332