Emerging 2D Ferroelectric Devices for In‐Sensor and In‐Memory Computing
Source abstract
Abstract
Abstract 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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electronic Engineering and Materials Science and Technology Research Center The Chinese University of Hong Kong Hong Kong SAR China
Funding
Basic and Applied Basic Research Foundation of Guangdong Province
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