Antiferroelectric polarization enabling physical activation in CuBiP2Se6 for medical image processing

Antiferroelectric materials, featuring field controllable antipolar ordering and reversible polarization switching, offer a promising platform for hardware efficient neuromorphic computing. The tunable polarization dynamics and layered van der Waals structure enable the multifunctional integration of sensing, learning, and computation within a single device architecture. Here, we demonstrate an antiferroelectric polarization driven diode exhibiting an extended linear operating region, which simultaneously enables physical activation and computing-in-memory. Building on the device capability, we construct an in-sensor computing system that achieves over 95% accuracy in medical image classification. We further integrate the devices to demonstrate a hardware-based activation function, attaining accuracy and training loss comparable to an ideal activation function. To enhance adaptability, we further propose a tunable activation circuit that enables linear modulation of the reverse bias slope via gain control. Overall, this work establishes a dual-functional antiferroelectric heterojunction, highlighting its strong potential for constructing optically triggered, compact, and low-power perception-computation-integrated neuromorphic systems for medical image processing.

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Publication Details

Journal
Nature Communications
Published
2026-04-03
DOI
https://doi.org/10.1038/s41467-026-70594-x
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Antiferroelectric polarization enabling physical activation in CuBiP2Se6 for medical image processing

Tianze Yu, Weili Zhen, Hongtao Wei, Linfeng Sun et al.
Nature Communications
2D Materials and Applications
article

Antiferroelectric polarization enabling physical activation in CuBiP2Se6 for medical image processing

Tianze Yu, Weili Zhen, Hongtao Wei, Linfeng Sun, Zhongyi Wang, Fei Xue, Dongliang Yang, Yinan Lin
article en

Abstract

Antiferroelectric materials, featuring field controllable antipolar ordering and reversible polarization switching, offer a promising platform for hardware efficient neuromorphic computing. The tunable polarization dynamics and layered van der Waals structure enable the multifunctional integration of sensing, learning, and computation within a single device architecture. Here, we demonstrate an antiferroelectric polarization driven diode exhibiting an extended linear operating region, which simultaneously enables physical activation and computing-in-memory. Building on the device capability, we construct an in-sensor computing system that achieves over 95% accuracy in medical image classification. We further integrate the devices to demonstrate a hardware-based activation function, attaining accuracy and training loss comparable to an ideal activation function. To enhance adaptability, we further propose a tunable activation circuit that enables linear modulation of the reverse bias slope via gain control. Overall, this work establishes a dual-functional antiferroelectric heterojunction, highlighting its strong potential for constructing optically triggered, compact, and low-power perception-computation-integrated neuromorphic systems for medical image processing.

Nature Communications
Beijing Institute of Technology (CN), Beijing Institute of Optoelectronic Technology (CN), National Clinical Research Center for Digestive Diseases (CN), Beijing Friendship Hospital (CN), Zhejiang University (CN)
Beijing Institute of Technology, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 27%
2D Materials and Applications
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