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首页> 外文期刊>ACS applied materials & interfaces >Rational Band Engineering of an Organic Double Heterojunction for Artificial Synaptic Devices with Enhanced State Retention and Linear Update of Synaptic Weight
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Rational Band Engineering of an Organic Double Heterojunction for Artificial Synaptic Devices with Enhanced State Retention and Linear Update of Synaptic Weight

机译:具有增强状态保留和突触重的线性更新的人工突触装置有机双异质结的合理带工程

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Herein, we propose an organic double heterojunction to enable a nonvolatile step modulation of the conductance of an artificial synapse; the double heterojunction is composed of N,N'-dioctyl-3,4,9,10-perylene tetracarboxylic dii-mide (PTCDI-C-8), copper phthalocyanine (CuPc), and parasexiphenyl (p-6P). The carrier confinement in the CuPc region present in the double-heterojunction structure enabled the nonvolatile modulation of the postsynaptic current. The proposed organic synapse exhibited an excellent conductance change, characteristic with a nonlinearity (NL) value below 0.01 in the long-term potentiation (LTP) region. Furthermore, the NL value for long-term depression (LTD) could be reduced effectively from 45 to 3.5 by a pulse modulation technique. A simple artificial neural network (ANN) was theoretically designed using the LTP/LTD characteristic curves of such organic synapses, and then, learning and recognition tasks were performed using Modified National Institute of Standards and Technology digit images. A four-amplitude weight update method enabled considerable enhancement of the recognition rate from 53 to 70%. Although the designed ANN was based on a single-layer perceptron model, a high maximum accuracy of 75% was achieved. These newly studied techniques for synaptic devices are expected to open up new possibilities for the realization of artificial synapses based on organic double heterojunctions.
机译:在此,我们提出了一种有机双重异质结,以实现人工突触的电导的非易失性步骤;双异质结由N,N'-二辛基-3,4,9,10-鲍氏四羧酸二碘-MIDE(PTCDI-C-8),铜酞菁(CUPC)和解法己烯基(P-6P)组成。双异质结结构中存在的Cupc区域的载波限制使得突触电流的非易失性调制。所提出的有机突触表现出优异的电导变化,具有低于长期增强(LTP)区域的非线性(NL)值的非线性(NL)值。此外,通过脉冲调制技术可以有效地减少长期凹陷(LTD)的NL值。理论上,使用这种有机突触的LTP / LTD特征曲线理论上设计了一个简单的人工神经网络(ANN),然后使用改进的国家标准和技术数字图像研究所进行学习和识别任务。四个幅度重量更新方法使得识别率的显着增强从53到70%。虽然所设计的ANN基于单层Perceptron模型,但实现了75%的最高精度。这些新研究的突触装置技术有望为基于有机双重杂交来实现人造突触的新可能性。

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