Kim Donguk, Lee Hee Jun, Yang Tae Jun, Choi Woo Sik, Kim Changwook, Choi Sung-Jin, Bae Jong-Ho, Kim Dong Myong, Kim Sungjun, Kim Dae Hwan
School of Electrical Engineering, Kookmin University, Seoul 02707, Korea.
Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea.
Nanomaterials (Basel). 2022 Oct 13;12(20):3582. doi: 10.3390/nano12203582.
In this article, we study the post-annealing effect on the synaptic characteristics in Pd/IGZO/SiO/p-Si memristor devices. The O-H bond in IGZO films affects the switching characteristics that can be controlled by the annealing process. We propose a switching model based on using a native oxide as the Schottky barrier. The barrier height is extracted by the conduction mechanism of thermionic emission in samples with different annealing temperatures. Additionally, the change in conductance is explained by an energy band diagram including trap models. The activation energy is obtained by the depression curve of the samples with different annealing temperatures to better understand the switching mechanism. Moreover, our results reveal that the annealing temperature and retention can affect the linearity of potentiation and depression. Finally, we investigate the effect of the annealing temperature on the recognition rate of MNIST in the proposed neural network.
在本文中,我们研究了退火后对Pd/IGZO/SiO/p-Si忆阻器器件中突触特性的影响。IGZO薄膜中的O-H键影响着可通过退火过程控制的开关特性。我们提出了一种基于使用本征氧化物作为肖特基势垒的开关模型。通过不同退火温度样品中的热电子发射传导机制提取势垒高度。此外,通过包含陷阱模型的能带图来解释电导的变化。通过不同退火温度样品的衰减曲线获得激活能,以更好地理解开关机制。而且,我们的结果表明退火温度和保持时间会影响增强和衰减的线性度。最后,我们在所提出的神经网络中研究了退火温度对MNIST识别率的影响。