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Learning in colloids: Synapse-like ZnO + DMSO colloid

Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Neil Phillips, Andrew Adamatzky

2023Neurocomputing22 citationsDOIOpen Access PDF

Abstract

Colloids subjected to electrical stimuli exhibit a reconfiguration that might be used to store information and potentially compute. In a colloidal suspension of ZnO nanoparticles in DMSO, we investigated the learning, memorization, time and stimulation’s voltage dependence of conductive network formation. The relationships between the critical resistance and stimulation time have been reconstructed.The critical voltage (i.e., the stimulation voltage required to drop the resistance) was found to decrease as stimulation time increased. We characterised a dispersion of conductive ZnO nanoparticles in the DMSO polymeric matrix using FESEM and UV–visible absorption spectrum.

Topics & Concepts

ColloidMaterials scienceDrop (telecommunication)NanoparticleStimulationElectrical conductorAbsorption (acoustics)NanotechnologyChemical engineeringSuspension (topology)Computer scienceComposite materialMathematicsTelecommunicationsPsychologyNeuroscienceEngineeringPure mathematicsHomotopyAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringNeural dynamics and brain function
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