铁电性
材料科学
光电子学
异质结
晶体管
铁电电容器
半导体
双极结晶体管
场效应晶体管
极化(电化学)
俘获
非易失性存储器
载流子
钙钛矿(结构)
负阻抗变换器
纳米技术
电容器
凝聚态物理
作者
Enlong Li,Weixin He,Ruixue Wang,Chi Zhang,Hongmiao Zhou,Yu Liu,Yijia Yuan,Kian Ping Loh,Junhao Chu,Wenwu Li
标识
DOI:10.1038/s41467-025-64387-x
摘要
The non-volatile spontaneous ferroelectric polarization field serves as a cornerstone for applying ferroelectric materials in electronic devices, yet it is frequently mitigated by charge trapping at defect sites. Achieving an effective transition between ferroelectric polarization and charge trapping is challenging due to the inherent opposition of the two mechanisms and the uncontrollable charge trapping types in ferroelectric materials. Here, we realized a polarity-dependent ferroelectric transition in two-dimensional ferroelectric heterojunction transistor by integrating a hybrid organic-inorganic ferroelectric layer embedded with electron trapping sites. Through theoretical calculations and experimental validation, we demonstrate a ferroelectric manifestation and elimination mechanism based on the polarity of the semiconductor layer. The electron-majority n-type semiconductor exhibits charge trapping behavior, while the electron-minority p-type transistor exhibits the ferroelectric control mechanism. Leveraging the mechanism transition, our bipolar heterojunction transistor enables synergistic heterogeneous control of non-volatile memory and volatile synaptic weight modulation within a single bipolar ferroelectric transistor. Based on the experimentally extracted parameters from the transistors, the device-informed simulation achieves a recognition accuracy of 92.9% and a 20.7-fold improvement in training efficiency of the transfer learning network.
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