Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing.

Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing.
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用于神经形态计算的高度可控且硅兼容的铁电光伏突触

DOI:
10.1016/j.isci.2020.101874
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发表时间:
2020-12-18
期刊:
影响因子:
5.8
通讯作者:
Liu JM
Liu JM
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Cheng S;Fan Z;Rao J;Hong L;Huang Q;Tao R;Hou Z;Qin M;Zeng M;Lu X;Zhou G;Yuan G;Gao X;Liu JM

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利用极化开关(一种纯电子开关过程)诱导模拟电导变化的铁电突触引起了相当大的兴趣。在这里,我们提出了铁电光伏(FePV)突触,它使用极化控制的光电流作为读出,因此不受组成铁电和电极材料的形式和厚度的限制。这不仅使FePV突触易于制造,而且减少了去极化效应,从而增强了极化的可控性。作为概念验证的实现,在硅衬底上很容易地生长出Pt/Pb(Zr0.2Ti0.8)O3/LaNiO3 FePV突触,该突触通过渐变极化开关实现连续光伏响应调制,具有良好的可控性(非线性小,写入噪声小)。利用光伏响应作为突触权重,该装置具有多种突触功能,包括长期增强/抑制和峰值时间依赖的可塑性。模拟的基于FePV突触的神经网络在图像识别方面达到了很高的准确率(约93%)。这项研究为神经形态计算的高度可控和硅兼容突触铺平了新的道路。可切换铁电光伏(FePV)效应用于突触的应用通过逐渐的极化开关实现可调谐的光伏响应,实现了多种突触功能和高图像识别精度。电气工程;半导体制造;材料科学;设备
Ferroelectric synapses using polarization switching (a purely electronic switching process) to induce analog conductance change have attracted considerable interest. Here, we propose ferroelectric photovoltaic (FePV) synapses that use polarization-controlled photocurrent as the readout and thus have no limitations on the forms and thicknesses of the constituent ferroelectric and electrode materials. This not only makes FePV synapses easy to fabricate but also reduces the depolarization effect and hence enhances the polarization controllability. As a proof-of-concept implementation, a Pt/Pb(Zr0.2Ti0.8)O3/LaNiO3 FePV synapse is facilely grown on a silicon substrate, which demonstrates continuous photovoltaic response modulation with good controllability (small nonlinearity and write noise) enabled by gradual polarization switching. Using photovoltaic response as synaptic weight, this device exhibits versatile synaptic functions including long-term potentiation/depression and spike-timing-dependent plasticity. A simulated FePV synapse-based neural network achieves high accuracies (>93%) for image recognition. This study paves a new way toward highly controllable and silicon-compatible synapses for neuromorphic computing. Switchable ferroelectric photovoltaic (FePV) effect is used for synaptic application Tunable photovoltaic response is enabled by gradual polarization switching Versatile synaptic functions and high image recognition accuracy are achieved The FePV synapses are facilely grown on silicon substrates Circuit Systems; Electrical Engineering; Semiconductor Manufacturing; Materials Science; Devices
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