Nakajima Motoharu, Minegishi Kazuki, Shimizu Yosuke, Usami Yuki, Tanaka Hirofumi, Hasegawa Tsuyoshi
Department of Pure and Applied Physics, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan.
Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Japan.
Nanoscale. 2022 May 26;14(20):7634-7640. doi: 10.1039/d2nr01439d.
A AgS-island network is fabricated with surrounding electrodes to enable it to be used as a reservoir for unconventional computing. Local conductance change occurs due to the growth/shrinkage of Ag filaments from/into each AgS island in the reservoir. The growth/shrinkage of Ag filaments is caused by the drift of Ag cations in each AgS island, which results in a unique non-linear response as a reservoir, especially at lower frequencies. The response of the reservoir is shown to depend on the frequency and amplitude of the input signals. So as to evaluate its capability as a reservoir, logical operations were performed using the subject AgS-island network, with the results showing an accuracy of greater than 99%.
构建了一个带有周围电极的AgS岛网络,使其能够用作非常规计算的存储库。由于银细丝在存储库中从每个AgS岛生长/收缩进入,导致局部电导发生变化。银细丝的生长/收缩是由每个AgS岛中银阳离子的漂移引起的,这使得该存储库产生独特的非线性响应,尤其是在较低频率下。结果表明,该存储库的响应取决于输入信号的频率和幅度。为了评估其作为存储库的能力,使用该AgS岛网络进行了逻辑运算,结果显示准确率超过99%。