Uniformity, Linearity, and Symmetry Enhancement in TiO x /MoS2–x O x Based Analog RRAM via S‑Vacancy Confined Nanofilament
Due to the stochastic formation of conductive filaments (CFs), analog resistive random-access memory (RRAM) struggles to simultaneously achieve low variability, high linearity, and symmetry in conductance tuning, thus complicating on-chip training and limiting versatility of RRAM based computing-in-...
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Veröffentlicht in: | Nano letters 2024-12, Vol.24 (51), p.16283-16292 |
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Sprache: | eng |
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Zusammenfassung: | Due to the stochastic formation of conductive filaments (CFs), analog resistive random-access memory (RRAM) struggles to simultaneously achieve low variability, high linearity, and symmetry in conductance tuning, thus complicating on-chip training and limiting versatility of RRAM based computing-in-memory (CIM) chips. In this study, we present a simple and effective approach using monolayer (ML) MoS2 as interlayer to control the CFs formation in TiO x switching layer. The limited S-vacancies (Sv) in MoS2–x O x interlayer can further confine the position, size, and quantity of CFs, resulting in a highly uniform and symmetrical switching behavior. The set and reset voltages (V set and V reset) in TiO x /MoS2–x O x based RRAM are symmetric, with cycle-to-cycle variations of 1.28% and 1.7%, respectively. Moreover, high conductance tuning linearity and 64-level switching capabilities are achieved, which facilitate high accuracy (93.02%) on-chip training. This method mitigates the device nonidealities of analog RRAM through Sv confined CFs, accelerating the development of RRAM based CIM chips. |
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ISSN: | 1530-6984 1530-6992 |
DOI: | 10.1021/acs.nanolett.4c04434 |