posted on 2023-11-30, 21:29authored byPatricio Ramirez, Vicente Gómez, Javier Cervera, Salvador Mafe, Juan Bisquert
We demonstrate a multipore nanofluidic memristor with
conical pores
showcasing a wide range of hysteresis and memristor properties that
provide functionalities for brainlike computation in neuromorphic
applications. Leveraging the interplay between the charged functional
groups on the pore surfaces and the confined ionic solution, the memristor
characteristics are modulated through the electrolyte type, ionic
concentrations, and pH levels of the aqueous solution. The multipore
membrane mimics the functional characteristics of biological ion channels
and displays synaptical potentiation and depression. Furthermore,
this property can be inverted in polarity by chemically varying the
pH level. The ability to modulate memory effects by ionic conductivity
holds promise for enhancing signal information processing capabilities.