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

Zhe Sheng, Jianguo Dong, Wennan Hu, Yue Wang, Haoran Sun, David Wei Zhang, Peng Zhou, Zengxing Zhang

2023Nano Letters52 citationsDOI

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 2 /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.

Topics & Concepts

XNOR gateTransistorNAND gateLogic gatePass transistor logicNOR gateComputer scienceTransistor countPolarity (international relations)NOR logicElectrical engineeringElectronic engineeringMaterials scienceVoltageEngineeringChemistryAlgorithmCellBiochemistryAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices2D Materials and Applications
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