journal article·2024-01

Highly Reconfigurable Logic‐In‐Memory Operations in Tunable Gaussian Transistors for Multifunctional Image Processing

Weihui Sang, Du Xiang, Yi Cao, Feixia Tan, Zichao Han, Wenyu Songlu, Peng Zhou, Tao Liu

Advanced Functional Materials· Volume 34· Issue 4
Publisher page

Abstract

Abstract Reconfigurable logic‐in‐memory device, albeit a promising hardware platform for constructing parallel computing architectures, still suffers from high power‐consumption and low area‐efficiency arising from the circuit redundancy in silicon (Si) based technical path. 2D materials are identified as potential building blocks to significantly reduce the circuit footprints with outstanding power‐efficiency, owing to their atomically thin nature and unique electronic properties. However, the present 2D logic devices are primarily based on single channel materials with homogeneous transport polarities, limiting the device reconfigurability for multi‐functional applications. Here, 2D p–n junction based dual‐gate Gaussian‐type transistors for simplified reconfigurable logic circuits are reported. All fundamental Boolean logic operators are implemented in a single device with electrically driven reconfigurability, giving rise to an ultra‐low transistor consumption down to 13% of the traditional circuits. The device is also demonstrated as a reliable image processing unit for various computing tasks (pixel processing, comparing, and ciphering) by executing the corresponding logic operations. Moreover, in situ memory of the Boolean logics is achieved by engineering the dielectric properties of the transistor without compromising its reconfigurability. These findings provide a potential approach to achieving reconfigurable logic‐in‐memory operations at the hardware level, with significant implications for the advancement of parallel computing.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · CCD and CMOS Imaging Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shanghai Frontiers Science Research Base of Intelligent Optoelectronic and Perception Institute of Optoelectronic and Department of Material Science Fudan University Shanghai 200433 P. R. China

State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai 200433 P. R. China

Zhangjiang Fudan International Innovation Center Fudan University Shanghai 200433 P. R. China

Shanghai Qi Zhi Institute Shanghai 200232 P. R. China

Shanghai Key Lab for Future Computing Hardware and System School of Microelectronics Fudan University Shanghai 200433 P. R. China

Funding

National Key Research and Development Program of China · Natural Science Foundation of Shanghai Municipality · Shanghai Rising-Star Program

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