Rolling Up Transition Metal Chalcogenides/Oxide Heterostructures Enables Polarity‐Tunable and High‐Switchable Memristors

ABSTRACT Harnessing transition metal dichalcogenides (TMDCs) for memristors provides a promising pathway toward high‐density data storage and neuromorphic functionalities. Yet the single operation mode and insufficient on/off ratio extremely restrict the ultimate device performance. Here, we design and construct a high‐order superlattice‐based memristor by rolling up oxide/TMDCs heterostructures, which exhibits tunable resistive switching polarity and a high on/off ratio. Four types of heterostructures are created via fine‐controlled oxygen plasma to in situ oxidize the top few layers into uniform transition metal oxide. Capillary forces in organic reagents are utilized to drive these heterostructures to spontaneously roll up. The as‐formed high‐order oxide/TMDCs superlattices with alternately stacked TMDCs and oxides are clearly resolved by the cross‐section scanning transmission electron microscope and corresponding elemental mappings. With pre‐set oxide layers supplying mobile oxygen atoms, bipolar resistive switching of the high‐order superlattice‐based memristors is realized in vertical tunneling current measurements. In contrast, when the top and bottom electrodes are arranged in an interleaved configuration, the spatial confinement of conductive filaments converts the switching behavior into a unipolar mode. Furthermore, this polarity‐tunable memristor exhibits an outstanding on/off ratio of approximately 10 7 and a robust multilevel resistance performance. Our work opens a new avenue for the fundamental design of high‐performance and multimodal memristors.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-06-16
DOI
https://doi.org/10.1002/adma.202522853
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rolling Up Transition Metal Chalcogenides/Oxide Heterostructures Enables Polarity‐Tunable and High‐Switchable Memristors

Wanlin Guo, Y Q Liu, Erwen Zhang, Ruixi Qiao et al.
Advanced Materials
Advanced Memory and Neural Computing
article

Rolling Up Transition Metal Chalcogenides/Oxide Heterostructures Enables Polarity‐Tunable and High‐Switchable Memristors

Wanlin Guo, Y Q Liu, Erwen Zhang, Ruixi Qiao, Yufeng Guo, Xu Jing, Rong Rong, Liu X, Kun Yu, Xiaokai Chen, Yizhou Zhao, Libo Gao, Jinguo Liu, Xiaofan Wang
article en

Abstract

ABSTRACT Harnessing transition metal dichalcogenides (TMDCs) for memristors provides a promising pathway toward high‐density data storage and neuromorphic functionalities. Yet the single operation mode and insufficient on/off ratio extremely restrict the ultimate device performance. Here, we design and construct a high‐order superlattice‐based memristor by rolling up oxide/TMDCs heterostructures, which exhibits tunable resistive switching polarity and a high on/off ratio. Four types of heterostructures are created via fine‐controlled oxygen plasma to in situ oxidize the top few layers into uniform transition metal oxide. Capillary forces in organic reagents are utilized to drive these heterostructures to spontaneously roll up. The as‐formed high‐order oxide/TMDCs superlattices with alternately stacked TMDCs and oxides are clearly resolved by the cross‐section scanning transmission electron microscope and corresponding elemental mappings. With pre‐set oxide layers supplying mobile oxygen atoms, bipolar resistive switching of the high‐order superlattice‐based memristors is realized in vertical tunneling current measurements. In contrast, when the top and bottom electrodes are arranged in an interleaved configuration, the spatial confinement of conductive filaments converts the switching behavior into a unipolar mode. Furthermore, this polarity‐tunable memristor exhibits an outstanding on/off ratio of approximately 10 7 and a robust multilevel resistance performance. Our work opens a new avenue for the fundamental design of high‐performance and multimodal memristors.

Advanced Materials
Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.