Reservoir Computing-Based Real-Time Prediction for Quantized Conductance of Au Atomic Junctions
Reservoir Computing-Based Real-Time Prediction for Quantized Conductance of Au Atomic Junctions
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DOI：
10.1109/nmdc46933.2022.10052236
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Yuki Shimada;M. Shimada;T. Miki;J. Shirakashi
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文献类型：
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作者：
Yuki Shimada;M. Shimada;T. Miki;J. Shirakashi
反馈控制的电迁移方法通过控制Au纳米线上的量子化电导来制备原子结。我们展示了一个实时预测的量子化电导的Au纳米线动态推断水库计算上的实时操作系统。其结果是，所提出的系统的弹道制度的均方根误差为0.414。我们相信，我们的系统作出了宝贵的贡献，纳米器件的制造，因为它引入了运行过程下的实时预测。
Feedback-controlled electromigration method has been known to fabricate the atomic junction by controlling the quantized conductance on the Au nanowires. We demonstrated a real-time prediction of the quantized conductance on the Au nanowires dynamically inferred by reservoir computing on a real-time operating system. As a result, the root mean squared error in ballistic regime of the proposed system is 0.414. We believe that our system makes a valuable contribution to the fabrication of nanoscale devices in that it introduces the real-time prediction under running processes.