Unveiling charge-trapping storage capacity in MoS2/BiFeO3 heterostructure

Y Yi Xia Y Yuchun Chen G Gulnigar Ablat (Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,) Y Yuchao Zhang (Key Laboratory of Photochemistry, Beijing National Laboratory for Molecular Sciences, Institute of Chemistry) Y Yanlin Tao (Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,) L Li Zhang L Lijie Zhang L Long-Jing Yin (Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,) J Jian Sun Y Yifan Yao Y Yuan Tian Z Zhihui Qin

Abstract

Charge-trapping memory emerges as one of the prime candidates for nonvolatile memory architectures, yet the empirical selection of charge storage media demands further investigation. Leveraging the inherent oxygen vacancy-mediated trapping mechanism, ferroelectric BiFeO3 (BFO) enables a tunable charge confinement. Herein, through an improved sol-gel method, the preparation protocol of BFO was rigorously engineered, enabling realization of centimeter-scale crystalline films on SiO2/Si substrates. Integrating BFO with two-dimensional van der Waals semiconductor MoS2, we constructed a heterostructure-based charge-trapping memory featuring enhanced retention and scalable integration. The device exhibits a maximum memory window of ∼90 V, an ON/OFF current ratio of ∼105, and a write–erase current ratio of ∼103. With a saturation storage capacity of up to 1013 cm−2 and the well-defined charge retention mechanism, the MoS2/BFO heterostructure also mimics biological synaptic behaviors, offering alternative prospects for BFO-based memories and neuromorphic computing.

Article Details

Volume / Issue Vol. 127, Issue 2
Published July 14, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (12)

Y

Yi Xia

Y

Yuchun Chen

G

Gulnigar Ablat

Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,

Y

Yuchao Zhang

Key Laboratory of Photochemistry, Beijing National Laboratory for Molecular Sciences, Institute of Chemistry

Y

Yanlin Tao

Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,

L

Li Zhang

L

Lijie Zhang

L

Long-Jing Yin

Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University 1 , Changsha 410082,

J

Jian Sun

Y

Yifan Yao

Y

Yuan Tian

Z

Zhihui Qin