Hysteresis Inversion Driven by Polar‐Order Competition in van der Waals Ferrielectric

Y Yinchang Ma Y Yuan Yan (Department of Chemistry) T Tao Yang A Aseel Alslbi (Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia) S Shijie Xu H Hanin Algaidi (Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia) B Bin He (Max Planck Institute for Chemical Physics of Solids) M Man Yang H Hao Li J Jingkai Xu H Hanguang Liao (Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia) C Chuanhui Gong (Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia) M Mohamed Nejib Hedhili (Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia) Y Youyou Yuan X Xiang Lv X Xixiang Zhang (Material Science and Engineering Program, Division of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.)

Abstract

ABSTRACT Emerging artificial intelligence paradigms increasingly rely on hardware that can dynamically adapt to surging computational workloads, yet present memristive technology remains fundamentally constrained by the fixed polarity of the device, meaning that its directionality for electrical response is unchangeable once integrated into a circuit. Consequently, a single device is locked into a specific operating mode, unable to achieve the flexible reconfiguration required for complex neural networks. Here we introduce a new device concept, a “polarity‐reconfigurable memristor” capable of breaking this constraint by exploiting the complex polar‐order competition in the van der Waals ferrielectric CuCrP 2 S 6 . By dynamically tuning the balance among antiferroelectric (AFE), ferrielectric (FiE), and ferroelectric (FE) states near the phase boundary, the device reversibly inverts its resistive hysteresis, switching between clockwise (CW) and counter‐clockwise (CCW) modes. This reversal allows the same device to alternate between potentiation‐ and depression‐type synaptic plasticity. These results establish polar‐order competition as an effective route to achieve intrinsic polarity reconfigurability for memory and neuromorphic hardware.

Article Details

Volume / Issue Vol. 38, Issue 47
Published August 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (16)

Y

Yinchang Ma

Y

Yuan Yan

Department of Chemistry

T

Tao Yang

A

Aseel Alslbi

Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

S

Shijie Xu

H

Hanin Algaidi

Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

B

Bin He

Max Planck Institute for Chemical Physics of Solids

M

Man Yang

H

Hao Li

J

Jingkai Xu

H

Hanguang Liao

Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

C

Chuanhui Gong

Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

M

Mohamed Nejib Hedhili

Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

Y

Youyou Yuan

X

Xiang Lv

X

Xixiang Zhang

Material Science and Engineering Program, Division of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.