Reservoir Computing-Based Real-Time Prediction for Quantized Conductance of Au Atomic Junctions

被引：0

作者：

Shimada, Yuki ^{[1
]}

Shimada, Moe ^{[1
]}

Miki, Tsukasa ^{[1
]}

Shirakashi, Jun-ichi ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Elect & Elect Engn, Tokyo, Japan

来源：

2022 IEEE NANOTECHNOLOGY MATERIALS AND DEVICES CONFERENCE, NMDC | 2022年

关键词：

atomic junctions; reservoir computing; feedback-controlled electromigration method; real-time prediction; ECHO STATE NETWORK; METAL NANOWIRES; FABRICATION; RESISTANCE; ENERGY;

D O I：

10.1109/NMDC46933.2022.10052236

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：25 / 28

页数：4

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