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Dynamic Nonlinear Behavior of Ionic Liquid-Based Reservoir Computing Devices

Takuma Matsuo, Dan Sato, Sang-Gyu Koh, Hisashi Shima, Yasuhisa Naitoh, Hiroyuki Akinaga, Toshiyuki Itoh, Toshiki Nokami, Masakazu Kobayashi, Kentaro Kinoshita

2022ACS Applied Materials & Interfaces34 citationsDOIOpen Access PDF

Abstract

Herein, a physical reservoir device that uses faradaic currents generated by redox reactions of metal ions in ionic liquids was developed. Synthetic time-series data consisting of randomly arranged binary number sequences ("1" and "0") were applied as isosceles-triangular voltage pulses with positive and negative voltage heights, respectively, and the effects of the faradaic current on short-term memory and parity-check task accuracies were verified. The current signal for the first half of the triangular voltage-pulse period, which contained a much higher faradaic current component compared to that of the second half of the triangular voltage-pulse period, enabled higher short-term memory task accuracy. Furthermore, when parity-check tasks were performed using a faradaic current generated by asymmetric triangular voltage-pulse levels of 1 and 0, the parity-check task accuracy was approximately eight times higher than that of the symmetric triangular voltage pulse in terms of the correlation coefficient between the output signal and target data. These results demonstrate the advantage of the faradaic current on both the short-term memory characteristics and nonlinear conversion capabilities and are expected to provide guidance for designing and controlling various physical reservoir devices that utilize electrochemical reactions.

Topics & Concepts

Faradaic currentVoltageMaterials scienceNonlinear systemSIGNAL (programming language)Pulse (music)Capillary actionElectrodeComputer scienceAnalytical Chemistry (journal)ElectrochemistryPhysicsChemistryWorking electrodeQuantum mechanicsProgramming languageChromatographyComposite materialNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingNeural dynamics and brain function
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