Reconfigurable Logic-in-Memory Computing Based on a Polarity-Controllable Two-Dimensional Transistor.

Sheng, Zhe; Dong, Jianguo; Hu, Wennan; Wang, Yue; Sun, Haoran; Zhang, David Wei; Zhou, Peng; Zhang, Zengxing · Nano Lett · 2023

basic_science · Level V

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Abstract

Logic-in-memory architecture holds great promise to meet the high-performance and energy-efficient requirements of data-intensive scenarios. Two-dimensional compacted transistors embedded with logic functions are expected to extend Moore's law toward advanced nodes. Here we demonstrate that a WSe<sub>2</sub>/h-BN/graphene based middle-floating-gate field-effect transistor can perform under diverse current levels due to the controllable polarity by the control gate, floating gate, and drain voltages. Such electrical tunable characteristics are employed for logic-in-memory architectures and can behave as reconfigurable logic functions of AND/XNOR within a single device. Compared to the conventional devices like floating-gate field-effect transistors, our design can greatly decrease the consumption of transistors. For AND/NAND, it can save 75% transistors by reducing the transistor number from 4 to 1; for XNOR/XOR, it is even up to 87.5% with the number being reduced from 8 to 1.