Single-Pore Nanofluidic Logic Memristor with Reconfigurable Synaptic Functions and Designable Combinations

Abstract

The biological neural network is a highly efficient inmemory computing system that integrates memory and logical computing functions within synapses. Moreover, reconfiguration by environmental chemical signals endows biological neural networks with dynamic multifunctions and enhanced efficiency. Nanofluidic memristors have emerged as promising candidates for mimicking synaptic functions, owing to their similarity to synapses in the underlying mechanisms of ion signaling in ion channels. However, realizing chemical signal-modulated logic functions in nanofluidic memristors, which is the basis for brain-like computing applications, remains unachieved. Here, we report a single-pore nanofluidic logic memristor with reconfigurable logic functions. Based on the different degrees of protonation and deprotonation of functional groups on the inner surface of the single pore, the modulation of the memristors and the reconfiguration of logic functions are realized. More noteworthy, this single-pore nanofluidic memristor can not only avoid the average effects in multipore but also act as a fundamental component in constructing complex neural networks through series and parallel circuits, which lays the groundwork for future artificial nanofluidic neural networks. The implementation of dynamic synaptic functions, modulation of logic gates by chemical signals, and diverse combinations in singlepore nanofluidic memristors opens up new possibilities for their applications in brain-inspired computing.

Memristive Characteristics in an Asymmetrically Charged Nanochannel

“…The memristor, an abbreviation of memory-resistor, was first proposed by Chua that connects the electric charge and magnetic flux linkage. As the fourth fundamental circuit element besides resistor, capacitor, and inductor, , the memristor shows its significance for brain-inspired neuromorphic computing − and biomachine interfaces − with high efficiency and low energy consumption. Recently, electrolyte ionic memristors emerged and showed promising features of emulating voltage-gated ionic neural functions in water systems. − …”

pH-Dependent Effects in Nanofluidic Memristors

“…The memristive effects observed allow for a neuromorphic-like potentiation of the membrane conductance that is regulated by voltage pulses. Also, we have suggested that arrangements of memristive membranes could be employed in the design of electrochemical circuits for implementing logic functions and information processing in iontronics. ,− …”