金胶体溶液多步浸泡法制造的随机网络金纳米粒子的物理储层应用

Kaito Kobayashi, H. Shimada, Y. Mizugaki
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引用次数: 0

摘要

我们采用多步浸泡法,将样品在金胶体溶液中浸泡三次,在 12 个镍铬/金电极上制作了随机金纳米粒子网络(RN-GNPs)。为了演示物理储层的应用,还测量了 RN-GNPs 在单输入、九输出终端配置下的输入输出特性。在 100 Hz 的正弦电压输入下,获得了失真的输出电压波形。高阶谐波成分在输出的频谱中得到了证实。波形重构任务和短期存储容量估算分别通过具有脊回归和线性回归的回波状态网络模型完成。
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Physical reservoir application of random network of gold nanoparticles fabricated by multi-step immersion in gold colloidal solution
We fabricated a random network of gold nanoparticles (RN-GNPs) over 12 NiCr/Au electrodes by using a multi-step immersion method, where a sample was immersed in a gold colloid solution three times. Nonlinear current-voltage characteristics due to the Coulomb blockade were observed at 77 K. For demonstration of physical reservoir applications, input-output characteristics of the RN-GNPs were also measured in a one-input, nine-output terminal configuration. Distorted output voltage waveforms were obtained for a sinusoidal voltage input of 100 Hz. The higher-order harmonic components were confirmed in the frequency spectra of the outputs. The waveform reconstruction task and short-term storage capacity estimation were performed by an echo state network model with ridge regression and linear regression, respectively.
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