Synaptic behavior of flexible IGZO TFTs with Al2O3 gate insulator by low temperature ALD

Shinyoung Park, J. Jang, Sung-Jin Choi, D. M. Kim, Dae Hwan Kim
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引用次数: 2

Abstract

Flexible InGaZnO (IGZO) thin-film transistor (TFT) with Al2O3 gate insulator (GI) which is deposited by low temperature (LT) atomic layer deposition (ALD) is proposed and its synaptic behavior and mechanical stability are demonstrated on a polyethylene terephthalate substrate. The change of threshold voltage under bending test is attributed to the generation of ionized oxygen vacancy resulting from the oxygen bond-breaking. In addition, the synaptic behavior is clearly observed and the convolutional neural network-based MNIST recognition rate of 87.2 % after 60,000 training is demonstrated by using the proposed IGZO TFTs. Stable synaptic behavior can be explained by the potentiation/depression pulse-dependent movement of hydrogens which the Al2O3 GI contains during LT ALD. Furthermore, it is found that the synaptic weight can be controlled and optimized by changing the thickness of Al2O3 GI.
低温ALD研究Al2O3栅极绝缘子柔性IGZO tft的突触行为
采用低温原子层沉积(ALD)方法制备了具有Al2O3栅极绝缘体(GI)的柔性InGaZnO (IGZO)薄膜晶体管(TFT),并在聚对苯二甲酸乙二醇酯衬底上研究了其突触行为和机械稳定性。弯曲试验阈值电压的变化是由于氧键断裂产生电离氧空位引起的。此外,我们还可以清楚地观察到突触行为,并利用所提出的IGZO tft证明了经过6万次训练后,基于卷积神经网络的MNIST识别率为87.2%。稳定的突触行为可以通过Al2O3 GI中氢的增强/抑制脉冲依赖运动来解释。此外,还发现可以通过改变Al2O3 GI的厚度来控制和优化突触的权重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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