Nanofluidic Memristor Based on the Ionic Liquid–Electrolyte Solution Interface at the Conical Nanopore

In biological neural systems, learning and memory rely on ion transport in liquid environments. Owing to their biomimetic signaling mechanisms, nanofluidic memristors with tunable conductance can emulate synaptic memory and plasticity, having attracted significant attention. In this work, we propose a nanofluidic memristor based on the ionic liquid-electrolyte solution interface at a conical quartz nanopipette. By exploitation of the geometric asymmetry of the conical nanopore and the dynamic de