神经形态工程学
光电子学
铁电性
极化(电化学)
光探测
材料科学
晶体管
电介质
物理
计算机科学
非易失性存储器
各向异性
记忆电阻器
联轴节(管道)
逻辑门
去极化
堆栈(抽象数据类型)
突触
调制(音乐)
作者
Jiali Huo,Jinpeng Huo,Ji Gao,Lingqi Li,Thaw Tint Te Tun,Jie Peng,Haofei Zheng,Yufei Shi,K. K. H. Ang
标识
DOI:10.1038/s41467-025-68206-1
摘要
Polarization-sensitive photodetection and non-volatile memory are both vital for neuromorphic vision hardware but are rarely integrated within a single device. This challenge arises from interfacial instabilities and depolarization fields at the 2D/ferroelectric junctions that degrade remanent polarization and long-term retention. Here, we demonstrate a polarization-resolved optoelectronic synapse based on a 2D ReS2 channel and a ferroelectric Hf0.5Zr0.5O2 (HZO) gate dielectric in a metal-ferroelectric-metal-insulator-semiconductor (MFMIS) ferroelectric field-effect transistor (FeFET). Co-modulation of ferroelectric polarization and photoexcited carrier trapping enables high responsivity, strong detectivity, and long-term optoelectronic retention. Coupling between the polarization anisotropy of ReS2 and ferroelectric memristive states enables gate-tunable polarization ratios and polarization-resolved learning. Furthermore, the optoelectronic synapse exhibits linear and energy-efficient optical-electrical modulation with 2.0 fJ per event. An ANN built from these synapses achieves 97.33% accuracy in iris recognition under unpolarized light, while a 3×3 FeFET-based CNN performs butterfly classification under polarized illumination through polarization-resolved feature extraction. This work establishes a unified ferroelectric-anisotropic platform for energy-efficient, polarization-resolved neuromorphic vision.
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