Hysteresis Inversion Driven by Polar‐Order Competition in van der Waals Ferrielectric
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
Authors (16)
Yinchang Ma
Yuan Yan
Department of Chemistry
Tao Yang
Aseel Alslbi
Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
Shijie Xu
Hanin Algaidi
Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
Bin He
Max Planck Institute for Chemical Physics of Solids
Man Yang
Hao Li
Jingkai Xu
Hanguang Liao
Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
Chuanhui Gong
Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
Mohamed Nejib Hedhili
Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia
Youyou Yuan
Xiang Lv
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.