论文标题

铁电突触的最新进展,观点和挑战

Recent advances, perspectives and challenges in ferroelectric synapses

论文作者

Tian, Bobo, Zhong, Ni, Duan, Chungang

论文摘要

外部电场调谐的多发性铁电极化可用于模拟生物突触重量。与其他报道的突触设备相比,铁电突触设备具有两个优点:一个是铁电域的固有切换,而无需引用缺陷迁移,因为电阻氧化物在这些铁电突触中贡献了可靠的性能。另一个巨大的优势是极低的能量消耗,因为铁电场通过电场操纵铁电化极化,从而消除了电流的焦油加热,如磁性和相变位置。铁电突触可能是建造低能量和有效脑状智能网络的潜力。在这里,我们总结了涉及铁电隧道连接结构(FTJS),铁电二极管(FDS)(FDS)和铁电场效应晶体管晶体管(FEFETS)的结构的最新开创性工作,以及对未来的工作,需要对其有效的神经网络进行加速需要进行启动。

The multiple ferroelectric polarization tuned by external electric field could be used to simulate the biological synaptic weight. Ferroelectric synaptic devices have two advantages compared with other reported ones: One is the intrinsic switching of ferroelectric domains without invoking of defect migration as in resistive oxides contributes reliable performance in these ferroelectric synapses. Another tremendous advantage is the extremely low energy consumption because the ferroelectric polarization is manipulated by electric field which eliminate the Joule heating by current as in magnetic and phase change memory. Ferroelectric synapses are potential for the construction of low-energy and effective brain-like intelligent networks. Here we summarize recent pioneering work of ferroelectric synapses involving the structure of ferroelectric tunnel junctions (FTJs), ferroelectric diodes (FDs) and ferroelectric field effect transistors (FeFETs), respectively, and shed light on future work needed to accelerate their application for efficient neural network.

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