Litcius/Paper detail

Nanofluidic logic with mechano–ionic memristive switches

Theo Emmerich, Yunfei Teng, Nathan Ronceray, Edoardo Lopriore, Riccardo Chiesa, Andrey Chernev, В. Г. Артемов, Massimiliano Di Ventra, András Kis, Aleksandra Rađenović

2024Nature Electronics120 citationsDOIOpen Access PDF

Abstract

Neuromorphic systems are typically based on nanoscale electronic devices, but nature relies on ions for energy-efficient information processing. Nanofluidic memristive devices could thus potentially be used to construct electrolytic computers that mimic the brain down to its basic principles of operation. Here we report a nanofluidic device that is designed for circuit-scale in-memory processing. The device, which is fabricated using a scalable process, combines single-digit nanometric confinement and large entrance asymmetry and operates on the second timescale with a conductance ratio in the range of 9 to 60. In operando optical microscopy shows that the memory capabilities are due to the reversible formation of liquid blisters that modulate the conductance of the device. We use these mechano-ionic memristive switches to assemble logic circuits composed of two interactive devices and an ohmic resistor.

Topics & Concepts

MemristorNeuromorphic engineeringMaterials scienceOhmic contactNanoscopic scaleNanotechnologyResistorConductanceResistive random-access memoryElectronic circuitLogic gateScalabilityComputer scienceOptoelectronicsElectrical engineeringVoltagePhysicsArtificial neural networkArtificial intelligenceEngineeringDatabaseCondensed matter physicsAlgorithmLayer (electronics)Advanced Memory and Neural ComputingNanopore and Nanochannel Transport StudiesPhotoreceptor and optogenetics research