Low-Leakage Volatile Threshold Switching in Gr/CIPS/h-BN/Au van der Waals Heterostructure via Atomic-Scale Geometric Confinement
Abstract Volatile Threshold Switching (TS) devices are critical selector components for suppressing sneak path currents in high-density crossbar arrays. However, active-metal-based TS devices often face the challenge of stochastic conductive filament overgrowth. In this work, we report a high-performance TS device based on a Graphene/CuInP₂S₆/h-BN/Au van der Waals heterostructure. By utilizing hexagonal Boron Nitride (h-BN) as an atomic-scale ion sieve, we achieve atomic-scale geometric confinement of Cu filament growth. The device exhibits excellent unipolar switching characteristics, featuring a high on/off ratio (>10 5 ), ultra-low off-state leakage current (~pA), and a steep subthreshold swing (<15 mV/dec). Mechanistic investigations reveal that the h-BN layer confines the filaments to the atomic scale, causing the metastable filaments to spontaneously rupture upon bias removal due to Rayleigh instability, thereby enabling rapid self-resetting. This interface engineering strategy effectively addresses the filament overgrowth issue, providing a reliable solution for low-power neuromorphic computing hardware.
Authors
- Cong Yan (ORCID: https://orcid.org/0000-0003-4680-9094)
- Xiaoli Yang (ORCID: https://orcid.org/0000-0002-2829-8326)
- Chen ZHONG
- Yourui An
- Zhenhao Wen
- Shupeng Chen (ORCID: https://orcid.org/0000-0002-6220-7061)
- Shulong Wang (ORCID: https://orcid.org/0000-0002-8560-2478)
- Hongxia Liu (ORCID: https://orcid.org/0000-0003-4547-0666)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Xidian University (CN)
Publication Details
- Journal
- Nanotechnology
- Published
- 2026-05-28
- DOI
- https://doi.org/10.1088/1361-6528/ae7427
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation