Molecular Sieve‐Assisted Inclined Growth of Ultrathin Nonlayered Cr 2 O 3 Nanosheets for Reconfigurable Dual‐Mode Memristive Switching
ABSTRACT Two‐dimensional materials show great potential as candidates for next‐generation memristors. However, research on reconfigurable memristors essential to complex in‐memory computing frameworks remains underexplored. Here, to tackle this challenge, a reliable vapor‐phase growth method is developed to grow ultrathin nonlayered Cr 2 O 3 nanosheets and enable their use in memristors with reconfigurable dual‐mode memristive switching. The Cr 2 O 3 nanosheets were inclined‐grown on a SiO 2 /Si substrate with tailored thickness from 5.9 to 40 nm and tunable lateral size from 3 to 36 µm by a molecular sieve‐assisted strategy. Benefiting from the inclined growth characteristics, the nanosheets can be transferred to arbitrary substrates by simple and quick mechanical pressing without any chemical etching contamination. The constructed Ag/Cr 2 O 3 /Au memristor shows reversible modulation between volatile threshold switching and nonvolatile bipolar operation through compliance‐current control. The resulting memristor also demonstrates a low threshold voltage of ∼0.35 V with good cycle‐to‐cycle and cross‐device reproducibility in the volatile regime, together with low set/reset voltages around 1.0 V/−0.55 V and a representative ON/OFF ratio exceeding 10 6 in the nonvolatile regime. This dual‐mode functionality originates from an Ag‐filament‐dominated mechanism assisted by intrinsic defects in Cr 2 O 3 , where limited filament growth yields volatile relaxation behavior, while robust filament bridging stabilizes nonvolatile states. These results reveal the potential of Cr 2 O 3 nanosheets as a promising platform for multifunctional memristive applications.
Authors
- Yang Xiang-Dong (ORCID: https://orcid.org/0000-0002-0797-8293)
- Nan He (ORCID: https://orcid.org/0000-0002-8885-2907)
- Yan Gu (ORCID: https://orcid.org/0000-0002-8510-3193)
- Huifang Ma (ORCID: https://orcid.org/0000-0002-5196-6935)
- Shan Li (ORCID: https://orcid.org/0000-0002-3095-3721)
- Tong Tong (ORCID: https://orcid.org/0000-0002-9988-1295)
- Yufeng Guo (ORCID: https://orcid.org/0000-0002-1490-986X)
- Yu Liu (ORCID: https://orcid.org/0009-0000-8965-5529)
- Yuhao Kong
- Huihua Zhang
- Yang Du
- Jianhong Zhang
- Hongfei Wang
- Junjie Yan
Institutions
- Ningbo University of Technology (CN)
- Suzhou University of Science and Technology (CN)
- Westlake University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Collaborative Innovation Center of Advanced Microstructures (CN)
- Ministry of Education (BD)
- The Synergetic Innovation Center for Advanced Materials (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Small
- Published
- 2026-09-30
- DOI
- https://doi.org/10.1002/smll.76033
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00