Implementation of Physical Reservoir by Using Electrochemical Current

Abstract

Nonlinear dynamical systems useful for reservoir computing enhance the physical implementation of computing systems. In this paper we show that electrochemical reactions and their versatility show great potential as reservoirs. The essence of signal processing in such systems is the different levels of ionic current passing through the solution and the detected electrochemical current based on a multidirectional data acquisition system. A basic electrochemical system is also tested to verify the distinction between Faradic and non-Faradic current. Faradic current exhibits a nonlinear effect on the applied voltage and increase the high-dimensional memory capacity.