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Compact Single-Transistor Ternary Content-Addressable Memory Based on Parallel-Channel WSe2 Reconfigurable Transistors.

Created on 17 Jul 2026

Authors

Eunyeong Yang, Young-Eun Choi, Jiwon Ma, Changwook Lee, Kyung Rok Kim, Jiwon Chang

Published in

ACS applied materials & interfaces. Jul 16, 2026. Epub Jul 16, 2026.

Abstract

As data-centric applications such as AI and network processing grow rapidly, conventional computing systems suffer from performance bottlenecks due to the separation of memory and logic. Ternary content-addressable memory (TCAM) offers a promising memory-centric approach by enabling parallel search operations with three logic states-'0', '1', and 'don't care' ('X')-for enhanced functionality. However, conventional static random access memory (SRAM)-based TCAMs require at least 16 transistors per cell, limiting density and incurring significant power overhead. Here, we present a compact single-transistor TCAM cell based on parallel-channel reconfigurable field-effect transistors (PC RFETs) fabricated using large-area monolayer WSe2. The parallel-channel configuration enables stable ambipolar transport in large-area WSe2, where selective charge-transfer doping with sub-stoichiometric metal oxides converts the homogeneous p-type WSe2 channel into parallel n-type and p-type channels. A tri-layer Al2O3/HfO2/Al2O3 gate stack enables nonvolatile modulation of p-type, n-type, and ambipolar conduction states via gate pulse programming. The PC RFETs demonstrates symmetric conduction (Ion.n/Ion.p ≈ 1.02), high on/off ratios (∼105), and reliable match/mismatch behavior. This RFETs-based a single transistor (1T) TCAM cell is further validated through SPICE simulations. An 1 × 8 array simulation confirms scalability and circuit-level feasibility with a latency of ∼5 ns. This work offers a promising pathway toward high-density and fast operation with compact TCAM for future data-centric computing.

PMID:
42461981
Bibliographic data and abstract were imported from PubMed on 17 Jul 2026.

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