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All optical artificial synapses based on long-afterglow material for optical neural network
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作者 Wenjie Lu Qizhen Chen +5 位作者 Huaan Zeng Hui Wang lujian liu Tailiang Guo Huipeng Chen Rui Wang 《Nano Research》 SCIE EI CSCD 2023年第7期10004-10010,共7页
Artificial neural network with broad application prospect has attracted particular attention due to the promise of solving the memory wall bottleneck.The neural devices that mix light and electricity provide more degr... Artificial neural network with broad application prospect has attracted particular attention due to the promise of solving the memory wall bottleneck.The neural devices that mix light and electricity provide more degrees of freedom for the design of artificial neural network,but they still do not get rid of the shackles that the response signal needs circuit to transmission.The exploration of all-optical neural devices(optical signal input and output)is expected to solve this problem.Here,an all-optical synaptic device simply based on a long-afterglow material is reported.The optical properties of the all-optical synaptic device are similar to the responses in biological synapses.Unique image displays and memory functions can be achieved by combining alloptical synaptic arrays with synaptic memory behavior.Furthermore,the optical summation of all-optical synaptic array pixels can be completed by combining the focusing characteristics of convex lens,which realizes the photon transmission after preprocessing multiple input signals.Particularly,the simple single-layer structure of all-optical synapses with polydimethylsiloxane(PDMS)as the carrier has high plasticity and is expected to achieve large-scale preparation.This work enriches the diversity of artificial synapses and shows the huge development potential of photoelectric artificial neural networks. 展开更多
关键词 synaptic plasticity all optical optical computation optical neural network
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制造具有高机械稳定性的柔性突触晶体管的一般策略
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作者 庄冰泳 汪秀梅 +5 位作者 安传斌 王聪勇 刘璐健 陈惠鹏 郭太良 胡文平 《Science China Materials》 SCIE EI CAS CSCD 2023年第7期2812-2821,共10页
柔性有机突触晶体管(FOSTs)由于其灵活性、生物相容性、易于加工和低复杂性而引起了广泛关注.然而,FOSTs很难在满足装置变形要求的同时保持其突触性质的机械稳定性.在此,我们通过实验发现,弯曲变形对FOSTs的突触性能(即兴奋性突触后电流... 柔性有机突触晶体管(FOSTs)由于其灵活性、生物相容性、易于加工和低复杂性而引起了广泛关注.然而,FOSTs很难在满足装置变形要求的同时保持其突触性质的机械稳定性.在此,我们通过实验发现,弯曲变形对FOSTs的突触性能(即兴奋性突触后电流(EPSC)值)的影响大于对导通电流的影响.此外,通过公式推导,我们证明了通道附近产生的弯曲诱导缺陷状态的密度显著影响突触性能.我们提出了一种使用封装层调整器件稳定段的通用方法.无调节稳定段的普通FOSTs的EPSC值在弯曲后下降了近1.5-2个数量级.相比之下,设计的柔性突触装置表现出相对稳定的EPSC.此外,设计的FOSTs表现出稳定的成对脉冲促进、长期增强和光学突触性能.此外,使用手写人工神经网络在500次弯曲循环前后基于我们的设备进行神经形态计算模拟,该设备在50个学习周期后显示出稳定的识别精度(初始状态下91.55%,500个弯曲周期后90.43%).稳定段在柔性突触晶体管中的成功应用为制造具有机械稳定性的柔性神经形态电子器件提供了一个方便和简单的思路. 展开更多
关键词 flexible electronics organic synaptic transistor mechanical stability
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