Ultralow‐Leakage‐Current and Filament‐Conductive Amorphous Germanium Selenide Nanoparticle Ovonic Threshold Switching Selectors

Both large-capacity storage and high-parallel computing demand a significant boost in integration density of memory chips at advanced technological nodes. This necessitates selector components in 3D stackable cross-point architectures to achieve an ultralow leakage current (I<sub>off</sub>) and a relatively low threshold voltage (V<sub>th</sub>). However, conventional ovonic threshold switching (OTS) selectors cannot optimize these two properties simultaneously due to their conflicting physical attributes. To overcome this challenge, we put forward an innovative material design of a thermally-robust amorphous Ge<sub>2</sub>Se<sub>3</sub> nanoparticle (NP)-assembled nanolayer, by which the resulting selectors have achieved an unprecedentedly low I<sub>off</sub> of ∼pA, an impressively high selectivity of ∼10<sup>8</sup>, a low V<sub>th</sub> of ∼2.4 V, and commendable V<sub>th</sub> reliability, outperforming existing OTS selectors. Through in situ off-axis electron holography characterizations, we have presented evidence of nanoscale filamentary conduction within the individual NPs, revealing subthreshold-conduction and switch-on behaviors that have hitherto not been directly observed. Our work will inspire further exploration of novel amorphous chalcogenide NPs and deeper research on filamentary conduction physics, advancing the pursuit of superior access performances in OTS selectors.

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Publication Details

Journal
Advanced Materials
Published
2026-03-22
DOI
https://doi.org/10.1002/adma.202523102
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Ultralow‐Leakage‐Current and Filament‐Conductive Amorphous Germanium Selenide Nanoparticle Ovonic Threshold Switching Selectors

Jun He, Longbin You, Keyuan Ding, Xian Chen et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Ultralow‐Leakage‐Current and Filament‐Conductive Amorphous Germanium Selenide Nanoparticle Ovonic Threshold Switching Selectors

Jun He, Longbin You, Keyuan Ding, Xian Chen, Zhaoyang Liu, He Tian, Yuting Liao, Feng RAO, Chuanwei Huang, Jinlong Liu, Zicheng Li, Xiaojuan Jiang, Xiaotian Zhu
article en

Abstract

Both large-capacity storage and high-parallel computing demand a significant boost in integration density of memory chips at advanced technological nodes. This necessitates selector components in 3D stackable cross-point architectures to achieve an ultralow leakage current (I<sub>off</sub>) and a relatively low threshold voltage (V<sub>th</sub>). However, conventional ovonic threshold switching (OTS) selectors cannot optimize these two properties simultaneously due to their conflicting physical attributes. To overcome this challenge, we put forward an innovative material design of a thermally-robust amorphous Ge<sub>2</sub>Se<sub>3</sub> nanoparticle (NP)-assembled nanolayer, by which the resulting selectors have achieved an unprecedentedly low I<sub>off</sub> of ∼pA, an impressively high selectivity of ∼10<sup>8</sup>, a low V<sub>th</sub> of ∼2.4 V, and commendable V<sub>th</sub> reliability, outperforming existing OTS selectors. Through in situ off-axis electron holography characterizations, we have presented evidence of nanoscale filamentary conduction within the individual NPs, revealing subthreshold-conduction and switch-on behaviors that have hitherto not been directly observed. Our work will inspire further exploration of novel amorphous chalcogenide NPs and deeper research on filamentary conduction physics, advancing the pursuit of superior access performances in OTS selectors.

Advanced Materials
Shenzhen University (CN), Zhejiang University (CN)
Openalex Percentile: Top 12%
Advanced Memory and Neural Computing
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Ultralow‐Leakage‐Current and Filament‐Conductive Amorphous Germanium Selenide Nanoparticle Ovonic Threshold Switching Selectors — Jun He, Longbin You, et al. · Advanced Materials (2026) | TGRS Research Map | TGRS